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Research papers/topics in computer engineering, enhancing personalization and sales conversion in e-commerce: the role of ai in the app shop experience.

A shopping application that can be easily designed and built using the Flutter framework. “Shop AI” offers customers a good platform and efficient shopping experience in terms of convenience and functionality. this report focusing on the design and development framework. It explores application architecture and shows how Flutter’s versatility helps developers create cross-platform, responsive, and visually appealing user interfaces. Discover the main features of ”Shop AI” by searchi...

Algorithms and Data Structures Part 4: Searching and Sorting (Wikipedia Book 2014)

Searching 1 Search algorithm 1 Linear search 3 Binary search algorithm 6 Sorting 14 Sorting algorithm 14 Bubble sort 25 Quicksort 31 Merge sort 43 Insertion sort 52 Heapsort 59 References Article Sources and Contributors 66 Image Sources, Licenses and Contributors 68

E-Store Project Software Requirements Specification Version <4.0>

  Introduction The introduction of the Software Requirements Specification (SRS) provides an overview of the entire SRS with purpose, scope, definitions, acronyms, abbreviations, references and overview of the SRS. The aim of this document is to gather and analyze and give an in-depth insight of the complete Marvel Electronics and Home Entertainment software system by defining the problem statement in detail. Nevertheless, it also concentrates on the capabilities required by stakeholders and...

Skin Cancer Diagnostics with a Smartphone App

Melanoma is one of the deadliest types of skin cancer and can be difficult to treat when it's advanced. To reduce mortality rates, early detection is key. In order to do this, computer-aided systems have been developed to help dermatologists diagnose the condition. To make it more accessible to the public, researchers are working on creating portable, at-home diagnostic systems. An Android-based smartphone application utilizing image capture, preprocessing, and segmentation was developed to e...

Design Control and Monitoring System Of Water Distribution Networks

ABSTRACT  Nowadays, water distribution network automation is becoming more and more popular day by day due to its numerous advantages, an internet-based water distribution network system focuses on monitoring and controlling water distribution network instance. Water distribution network face wastage of water due to improper water supply management, non-monitoring in real time, this caused scarcity of water, scarcity of water consider mainly problem in cities. water distribution network auto...

2D Radar Antenna Orientation and Control

ABSTRACT The RADAR system is the first step and much more important and it has much more effect than the other step in the RADAR system works. The RADAR is used in different applications and systems, almost of these applications need high precision, and it's depending on the accuracy of RADAR ANTENNA orientation. Much research has been done and different systems designed to obtain a result within a permissible range. Design RADAR ANTENNA orientation and control system using FPGA and stepper m...

Design and Optimization of W-Tailored Optical Fiber

ABSTRACT  This research work studies the temperature effects in W-shaped core refractive index optical fiber. The work designs an optimized W-tailored optical fiber (OWTOF) that checks the effect of rising temperatures in W-tailored optical fiber (WTOF) for better communication. Initially, an introduction to the general concept of optical fibers including tailored optical fibers (TOF), temperature effects and models is presented as a background. This is followed by studies on existing litera...

Design of Digital Image Enhancement System Using Noise Filtering Techniques

ABSTRACT  Noise Reduction in digital image is one of the most important and difficult techniques in image research. The aim of Noise Reduction in digital image is to improve the visual appearance of an image, or to provide a better transform representation for another automated image processing. Many images like medical images, satellite images, aerial images and even real-life photographs suffer from viewing, removing blurring and noise, increasing contrast, etc. Reducing noise from the dig...

Design And Implementation Of An Automated Inventory Management System Case Study: Smart Shoppers Masaka

ABSTRACT The general purpose was to develop an efficient Inventory Management System (IMS) that improves service delivery at Smart shoppers’ Masaka. The main objectives were to collect and analyze user requirements that provide the researchers with enough information of what the system users want the system to accomplish, to design an Automated Inventory Management System, to implement a prototype and to test and validate the designed prototype. The methodology used includes Interviews, Que...

Inspired Safari Adventures Official Website

ABSTRACT This project is aimed to work as one of the marketing procedures and cores for Inspired Safari Adventures which acts as a general online website were the all public can view and understand more about the company. The users of this website are generally all the people who want to know about Inspired Safari Adventures in reference to the website components for example understanding the company location activities and so much more as illustrated in the website. The other users include i...

Performance Analysis Of A Single -Server Queue Communication System On A Local Area Network: Case Study: Sharing Youth Centre Cyber Cafe

ABSTRACT This study is primarily focused on investigation of major causes of performance bottlenecks on the respective Organization's Internet Cafe Local Area Network. This investigation is based primarily on analysis of a single-server queue which the system utilizes. The server queue perfotmance is analyzed using various measures of performance, the applications of which are highly referenced from published literature. The study also encompasses other minor elements of performance in the sy...

Design and Implementation of Two-Way Authentication System Using Rapsberry Pi

TABLE OF CONTENTSDECLARATION..........................................................................................................iiACKNOWLEDGEMENTS............................................................................................. iiiAPPROVAL...............................................................................................................ivTABLE OF CONTENTS ...............................................................................................vABBREVIATIONS...

Design & Implementation of Raspberry Pi Based Security System.

TABLE OF CONTENTSDECLARATION................................................................................................................................iAPPROVAL ...................................................................................................................................... iiACKNOWLEDGEMENT................................................................................................................ iiiTABLE OF CONTENTS ................................................

DESIGN AND IMPLEMENTATION OF AN ONLINE PRISON MANAGEMENT SYSTEM (A CASE STUDY OF NIGERIA PRISON SERVICE ENUGU)

ABSTRACTPrisoners’ management in Nigeria has long been a neglected area and has only recently been included in the 20-20 vision document under the e-governance. Currently, prisoner’s records are maintained in a very rudimentary way in the form of manual files and registers. This method of data management often results in human error, delay to retrieve information etc. Thus, An Online Prison Management System was designed and implemented to manage prisoner’s records for the Nigerian pris...

Computer Based Scrabble Game

CHAPTER ONE INTRODUCTION 1.1Background of the Project Scrabble is an old classic board game, with game rules that are not very complicated. Compared to other classic board games, such as Chess, there are more factors to take into consideration when making a move in Scrabble. Apart from anagramming and generating words, there are other crucial decisions to make. A player would probably find several legal moves in one round, and then would have to decide which one to place. Choosing the move th...

Projects, thesis, seminars, research papers, termpapers topics in Computer Engineering. Computer Engineering projects, thesis, seminars and termpapers topic and materials

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Top 100+ Computer Engineering Project Topics [Updated]

computer engineering project topics

Computer engineering projects offer a captivating blend of creativity and technical prowess, allowing enthusiasts to dive into a world where innovation meets functionality. Whether you’re fascinated by hardware design, software development, networking, or artificial intelligence, there’s a wide array of project topics to explore within the realm of computer engineering. In this blog, we’ll delve into some intriguing computer engineering project topics, catering to both beginners and seasoned enthusiasts alike.

What Is A CSE Project?

Table of Contents

A CSE project refers to a project within the field of Computer Science and Engineering (CSE). These projects involve the application of computer science principles and engineering techniques to develop software, hardware, or systems that solve real-world problems or advance technology.

CSE projects can range from developing new algorithms and programming languages to designing and building computer hardware, networking systems, software applications, or artificial intelligence systems.

They often require interdisciplinary knowledge and skills in areas such as programming, data structures, algorithms, software engineering, hardware design, networking, and more.

How Do I Start A CSE Project?

Starting a CSE (Computer Science and Engineering) project can be an exciting endeavor, but it requires careful planning and preparation. Here’s a step-by-step guide to help you get started:

  • Define Your Project Scope and Goals:
  • Identify the problem or opportunity you want to address with your project.
  • Clearly define the objectives and outcomes you aim to achieve.
  • Determine the scope of your project, including the technologies, tools, and resources you’ll need.
  • Conduct Research:
  • Research existing solutions and technologies related to your project idea.
  • Identify any gaps or opportunities for innovation in the field.
  • Explore relevant literature, academic papers, online resources, and case studies to gain insights and inspiration.
  • Choose a Project Topic:
  • Based on your research, select a specific topic or area of focus for your project.
  • Take into account your passions, abilities, and the assets at your disposal.
  • Make sure that the topic you select corresponds with the aims and objectives of your project.
  • Develop a Project Plan:
  • Make a thorough plan for your project by writing down all the things you need to do, when you need to do them, and what you want to achieve at different points.
  • Break the project into smaller parts that are easier to handle, and if you’re working with others, make sure everyone knows what they’re responsible for.
  • Define the deliverables and criteria for success for each phase of the project.
  • Gather Resources:
  • Identify the software, hardware, and other resources you’ll need for your project.
  • Set up development environments, programming tools, and any necessary infrastructure.
  • Consider collaborating with peers, mentors, or experts who can provide guidance and support.
  • Design Your Solution:
  • Develop a conceptual design or architecture for your project.
  • Define the system requirements, data structures, algorithms, and user interfaces.
  • Consider usability, scalability, security, and other factors in your design decisions.
  • Implement Your Project:
  • Start building your project based on the design and specifications you’ve developed.
  • Write code, design user interfaces, implement algorithms, and integrate components as needed.
  • Test your project continuously throughout the development process to identify and fix any issues early on.
  • Iterate and Refine:
  • Iterate on your project based on feedback and testing results.
  • Refine your implementation, make improvements, and address any issues or challenges that arise.
  • Continuously evaluate your progress against your project plan and adjust as necessary.
  • Document Your Work:
  • Keep detailed documentation of your project, including design decisions, code comments, and user manuals.
  • Document any challenges you faced, solutions you implemented, and lessons learned throughout the project.
  • Present Your Project:
  • Prepare a presentation or demo showcasing your project’s features, functionality, and achievements.
  • Communicate your project’s goals, methodology, results, and impact effectively to your audience.
  • Solicit feedback from peers, instructors, or industry professionals to gain insights and improve your project.

By following these steps and staying organized, focused, and adaptable, you can successfully start and complete a CSE project that not only enhances your skills and knowledge but also makes a meaningful contribution to the field of computer science and engineering.

Top 100+ Computer Engineering Project Topics

  • Design and Implementation of a Simple CPU
  • Development of a Real-time Operating System Kernel
  • Construction of a Digital Signal Processor (DSP)
  • Designing an FPGA-based Video Processing System
  • Building a GPU for Parallel Computing
  • Development of a Low-Power Microcontroller System
  • Designing an Efficient Cache Memory Architecture
  • Construction of a Network-on-Chip (NoC) for Multicore Systems
  • Development of a Hardware-based Encryption Engine
  • Designing a Reconfigurable Computing Platform
  • Building a RISC-V Processor Core
  • Development of a Custom Instruction Set Architecture (ISA)
  • Designing an Energy-Efficient Embedded System
  • Construction of a High-Speed Serial Communication Interface
  • Developing a Real-time Embedded System for Robotics
  • Designing an IoT-based Home Automation System
  • Building a Wearable Health Monitoring Device
  • Development of a Wireless Sensor Network for Environmental Monitoring
  • Designing an Automotive Control System
  • Building a GPS Tracking System for Vehicles
  • Development of a Smart Grid Monitoring System
  • Designing a Digital Audio Processor for Music Synthesis
  • Building a Speech Recognition System
  • Developing a Biometric Authentication System
  • Designing a Facial Recognition Security System
  • Construction of an Autonomous Drone
  • Development of a Gesture Recognition Interface
  • Designing an Augmented Reality Application
  • Building a Virtual Reality Simulator
  • Developing a Haptic Feedback System
  • Designing a Real-time Video Streaming Platform
  • Building a Multimedia Content Delivery Network (CDN)
  • Development of a Scalable Web Server Architecture
  • Designing a Peer-to-Peer File Sharing System
  • Building a Distributed Database Management System
  • Developing a Blockchain-based Voting System
  • Designing a Secure Cryptocurrency Exchange Platform
  • Building an Anonymous Communication Network
  • Development of a Secure Email Encryption System
  • Designing a Network Intrusion Detection System (NIDS)
  • Building a Firewall with Deep Packet Inspection (DPI)
  • Developing a Vulnerability Assessment Tool
  • Designing a Secure Password Manager Application
  • Building a Malware Analysis Sandbox
  • Development of a Phishing Detection System
  • Designing a Chatbot for Customer Support
  • Building a Natural Language Processing (NLP) System
  • Developing an AI-powered Personal Assistant
  • Designing a Recommendation System for E-commerce
  • Building an Intelligent Tutoring System
  • Development of a Sentiment Analysis Tool
  • Designing an Autonomous Vehicle Navigation System
  • Building a Traffic Management System
  • Developing a Smart Parking Solution
  • Designing a Remote Health Monitoring System
  • Building a Telemedicine Platform
  • Development of a Medical Image Processing Application
  • Designing a Drug Discovery System
  • Building a Healthcare Data Analytics Platform
  • Developing a Smart Agriculture Solution
  • Designing a Crop Monitoring System
  • Building an Automated Irrigation System
  • Developing a Food Quality Inspection Tool
  • Designing a Supply Chain Management System
  • Building a Warehouse Automation Solution
  • Developing a Inventory Optimization Tool
  • Designing a Smart Retail Store System
  • Building a Self-checkout System
  • Developing a Customer Behavior Analytics Platform
  • Designing a Fraud Detection System for Banking
  • Building a Risk Management Solution
  • Developing a Personal Finance Management Application
  • Designing a Stock Market Prediction System
  • Building a Portfolio Management Tool
  • Developing a Smart Energy Management System
  • Designing a Home Energy Monitoring Solution
  • Building a Renewable Energy Integration Platform
  • Developing a Smart Grid Demand Response System
  • Designing a Disaster Management System
  • Building an Emergency Response Coordination Tool
  • Developing a Weather Prediction and Monitoring System
  • Designing a Climate Change Mitigation Solution
  • Building a Pollution Monitoring and Control System
  • Developing a Waste Management Optimization Tool
  • Designing a Smart City Infrastructure Management System
  • Building a Traffic Congestion Management Solution
  • Developing a Public Safety and Security Platform
  • Designing a Citizen Engagement and Participation System
  • Building a Smart Transportation Network
  • Developing a Smart Water Management System
  • Designing a Water Quality Monitoring and Control System
  • Building a Flood Detection and Response System
  • Developing a Coastal Erosion Prediction Tool
  • Designing an Air Quality Monitoring and Control System
  • Building a Green Building Energy Optimization Solution
  • Developing a Sustainable Transportation Planning Tool
  • Designing a Wildlife Conservation Monitoring System
  • Building a Biodiversity Mapping and Protection Platform
  • Developing a Natural Disaster Early Warning System
  • Designing a Remote Sensing and GIS Integration Solution
  • Building a Climate Change Adaptation and Resilience Platform

7 Helpful Tips for Final Year Engineering Project

Embarking on a final year engineering project can be both exhilarating and daunting. Here are seven helpful tips to guide you through the process and ensure the success of your project:

Start Early and Plan Thoroughly

  • Begin planning your project as soon as possible to allow ample time for research, design, and implementation.
  • Break down your project into smaller tasks and create a detailed timeline with milestones to track your progress.
  • Consider any potential challenges or obstacles you may encounter and plan contingencies accordingly.

Choose the Right Project

  • Select a project that aligns with your interests, skills, and career goals.
  • Ensure that the project is feasible within the time and resource constraints of your final year.
  • Seek advice from professors, mentors, or industry professionals to help you choose a project that is both challenging and achievable.

Conduct Thorough Research

  • Invest time in researching existing solutions, technologies, and literature related to your project idea.
  • Identify gaps or opportunities for innovation that your project can address.
  • Keep track of relevant papers, articles, and resources to inform your design and implementation decisions.

Communicate Effectively

  • Maintain regular communication with your project advisor or supervisor to seek guidance and feedback.
  • Collaborate effectively with teammates, if applicable, by establishing clear channels of communication and dividing tasks appropriately.
  • Practice effective communication skills when presenting your project to classmates, professors, or industry professionals.

Focus on Quality and Innovation

  • Strive for excellence in every aspect of your project, from design and implementation to documentation and presentation.
  • Try to come up with new ideas and find ways to make them better than what’s already out there.
  • Make sure you do your work carefully and make it the best it can be.

Test and Iterate

  • Test your project rigorously throughout the development process to identify and address any issues or bugs.
  • Solicit feedback from peers, advisors, or end-users to gain insights and improve your project.
  • Iterate on your design and implementation based on feedback and testing results to refine your solution and enhance its functionality.

Manage Your Time Effectively

  • Prioritize tasks and allocate time wisely to ensure that you meet deadlines and deliverables.
  • Break down larger tasks into smaller, manageable chunks and tackle them one at a time.
  • Stay organized with tools such as calendars, to-do lists, and project management software to track your progress and stay on schedule.

By following these tips and staying focused, disciplined, and proactive, you can navigate the challenges of your final year engineering project with confidence and achieve outstanding results. Remember to stay flexible and adaptable, and don’t hesitate to seek help or advice when needed. Good luck!

Computer engineering project topics offer a unique opportunity to blend creativity with technical expertise, empowering enthusiasts to explore diverse domains of computing while tackling real-world challenges. Whether you’re interested in hardware design, software development, networking, or artificial intelligence, there’s a wealth of project topics to inspire innovation and learning.

By starting these projects, people who are passionate about it can improve their abilities, learn more, and add to the changing world of technology. So, get ready to work hard, let your imagination flow, and begin an exciting adventure of learning and discovery in the amazing field of computer engineering.

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Computing Engineering Dissertation Topics

Published by Jamie Walker at January 10th, 2023 , Revised On August 18, 2023

Over a period of time, dissertations have become an inherent component of higher education studies. They are not only entrenched within the master or a PhD. Degree but also in undergraduate programmes. Computer engineering dissertations allow the researchers to choose a topic of particular interest to them and research further into the topic to add to the current body of literature.

However, choosing a topic from an extensive list of topics is always easier than working on the first topic you find interesting.

To help you get started with brainstorming for computer topic ideas, we have developed a list of the latest computer engineering dissertation topics that can be used for writing your computer engineering dissertation.

These topics have been developed by PhD-qualified writers of our team , so you can trust to use these topics for drafting your dissertation.

You may also want to start your dissertation by requesting  a brief research proposal  from our writers on any of these topics, which includes an  introduction  to the problem,  research questions , aim and objectives ,  literature review  along with the proposed  methodology  of research to be conducted.  Let us know  if you need any help in getting started.

Check our  example dissertations  to get an idea of  how to structure your dissertation .

You can review step by step guide on how to write your dissertation  here.

View our free dissertation topics database.

Computer Engineering Dissertation Topics

Computers are the greatest innovation of the modern era and have done wonders for mankind. There is only one language that computers understand; the binary. But there are various high-level coding languages that even computers do not understand and therefore use a compiler for translation.

Computing refers to computer hardware or software coding development technology and covers all aspects of computer technologies. It is the practical and scientific study of the implementation of computing information. Computing is also interchangeably known as computer sciences.

A computing engineer or a computer scientist specializes in practical work, the theory of computing, and the design of computational systems. Essentially, it is the study of structure, expression, mechanization, and feasibility of algorithms (logical procedures) that cause processing, communication, representation, access of information, and acquisition in a computer. This area has a wide range of topics, some of which have been listed below:

  • Risk calculation in the application and development process.
  • Generation of the java application.
  • Implementing a behavioural based approach to detect cheating in online games.
  • Analysis of coding environment of different applications.
  • Identification of different languages used for coding.
  • Identification of stake holder’s interest in App development process.
  • Role of visualization in complex hierarchal structures of computing.
  • Analysing the requirements of Inventory Management Software.
  • Development of single-player simulation game.
  • Investigation of web teaching aid system.
  • Development of online based library management system.
  • Implementation of Electronic banking system.

2022 Computing Engineering Dissertation Topics

Topic 1: an investigation of the blockchain's application on the energy sector leading towards electricity production and e-mobility..

Research Aim: This study aims to investigate the applications of blockchain within the energy sector. This study will identify how blockchain can be used to produce electricity from the comfort of home. Moreover, this study aims to introduce the concept of e-mobility through blockchain, according to which blockchain can be used to share the car ride with the other commuters residing at nearby places. Another objective of this research is to develop a framework that could assess blockchain’s use for the consumers staying within a budget and letting them assess how much money they have been spending so far.

Topic 2: Investigating the Issues that Impact Data Security in Cloud-Based Blockchain Technology: An Global Tourism Industry Case Study

Research Aim: This research focuses on a significant shift in trend found in the worldwide tourist business, which is the usage of the cloud for data and services. It attempts to supply the requirements for this implementation owing to the demand for ease, saving, and improved service providing. Furthermore, it will also focus on the limits of traditional blockchain technology primitives and assess control models. These constraints are related to security issues involving data in a cloud environment in the global tourism industry.

Topic 3: Is Digital Technology overtaking Human Interactions in the Medical Fields? An Examination of the Use of Computational biology and Machine Leaning in Patient Diagnosis and Treatment.

Research Aim: The current study seeks to examine how digital technology is replacing human interactions in the medical industry in the importance of computational biology and machine learning in patient diagnosis and treatment. This study will set forth the theoretical foundations and significance of computational biology and machine learning and will also make recommendations for further enhancement.

Topic 4: Evaluating the use of databases and information retrieval systems in the perspective of the United States National security policy.

Research Aim: The current study aims to evaluate the use of databases and information retrieval systems from the perspective of United States national security policy. This study addresses the databases and information retrieval system to provide a clear understanding. It will also focus on specific elements d criteria in the united state’s national security and highlights the benefits and drawbacks of employing them to enhance national security strategy in the united states.

Topic 5: Development of growing infusion of computer technology in the area of medicine- examining NHS policies.

Research Aim: This research aims to examine the development of the growing infusion of computer technology in the area of medicine by evaluating existing NHS policy. The study will provide a theoretical framework for the application of computer science technologies in medicine and will also set out the benefits of using contemporary computer technology as well as analyse the drawbacks that have occurred as a result of the growth of this new technology in this field. It will also focus on the policies employed by NHS to assist the development of technologies in the UK healthcare sector.

Computer Engineering Dissertation Topics for 2021

A 3-d visualization system for ultrasound images.

Research Aim: This research will focus on the visualization of 3-D ultrasound images and their medical therapy benefits.

Reliable and realistic study of remote communication systems in telephony and multipath faded systems

Research Aim: This research’s primary emphasis is on telephony’s practical implementation in a remote communication system.

Establishing a Neural Network Device

Research Aim: In terms of energy efficiency, the human brain is much greater than any modern supercomputer. A whole new generation of energy-efficient, brain-like computers is being designed for this study.

Methods for Artifact EEG Brain function study, caused by sugar, salt, fat, and their replacements

Research Aim: This study relies on the procedure for calculating sweetness taste is developed and validated. Part of the project includes modern electrode technologies to capture the purest possible brain signal from EEG equipment.

Find 100s of dissertation topics in your other academic subjects in our free topics database.

The impact of Covid-19 on tech spends in 2021

Research Aim: This research aims to study the impact of Covid-19 on tech spends in 2021.

Analysis of information system built for e-learning

Research Aim: This research aims to analyze the information system built for e-learning

Advantages and disadvantages of an information system

Research Aim: This research aims to address the advantages and disadvantages of an information system.

Covid-19 Computer Engineering Research Topics

Research to study the effects of coronavirus on it industries.

Research Aim: This research will focus on the impacts of COVID-19 on the growth of IT industries highlighting the issues responsible for it and the possible solutions to overcome them.

Research to identify the impact of Coronavirus on the computer science research community

Research Aim: Coronavirus has infected thousands of people and has been responsible for the deaths of several innocent people worldwide. This study will focus on identifying the effects of this pandemic on the computer science research community.

Research to study the impacts of COVID-19 on tech spends in 2021

Research Aim: As a result of COVID-19, the economy of the entire world has been disrupted. The purpose of this research is to know the tech expenditures after COVID-19 became widespread. How are the tech industries dealing with the challenging situation created by COVID-19?

Research to identify the contribution of computer science to control the spread of Coronavirus pandemic

Research Aim: This research aims at identifying the contributions and efforts made by computer engineers to control the pandemic. What is the role of computer scientists during the pandemic?

Research to identify the unemployment of computer engineers after the Coronavirus pandemic

Research Aim: This research will focus on identifying the increased unemployment issues raised after the COVID-19 pandemic and finding out the possible solutions to overcome the reduced unemployment of computer engineers.

Hardware, Network and Security Dissertation Topics

Network security is very crucial for any organisation. It is dependent upon a well-managed network through the implementation of policies drafted by network administrators to manage the access of the organisational information. Network security provides stability, safety, integrity, reliability, and utility of data and network.

It works efficiently with the latest hardware equipment and updated software. Network security offers many advantages to businesses, such as protection against any disruption to keep employees motivated, energetic, regular, and productive.

In certain instances, a virus may break into the network security. However, the network administrator generally uses an anti-virus program to prevent this sort of attack.

Therefore, it will be fair to say that network security plays a vital role in maintaining a business’s reputation and operations which is the most important asset to any organisation. Below is a list of topics that you can base your dissertation on:

  • Performance analysis of transmission control protocol over Ethernet LAN.
  • Gateway usage for the intrusion detection system.
  • Impact of security machinimas in online transactions.
  • Investigation of smart card specification.
  • Importance of router placement in the network.
  • Level of customer’s trust in E-banking.
  • Role of antivirus in a shared network.
  • Application of database technologies for data network management.
  • Network worm: A headache to networking.
  • Implementation of various tools in programming language.
  • Study of retroactive data structures.
  • Role of Voice over Internet Protocol over Ethernet LAN.
  • The usefulness of data transfer security over Wi-Fi Network.
  • Influence of signal strength of Wi-Fi upon data transfer.
  • Analysis of tree inclusion complexities.
  • Analysis of the implementation of the set procedure.
  • Analysis of the application of programming tools.
  • Implementation of File Sharing System in Network.
  • Study of virus behaviours in the secured programming environment.
  • Investigation of issues of user’s security and data protection over the network.
  • Benefits of network security to customers.
  • Improvements of mobile data service for future usage.
  • Study of Asymmetry k-center variant.
  • Analysis of issues in emerging 4G networks.
  • Role of dynamic proxies in a mobile environment to support Remote method Invocation.

Software, Programming and Algorithm Dissertation Topics

In layman language, the software is collectively known as the “combination of operating information and all the programs that are being used by the computer.” It is a set of instructions to direct computers to perform a specific task depending upon thususer’s instructions.

The software can be written in both high and low-level languages. Low-level language is also known as machine code and is faster because it doesn’t require any compiler and directly communicates with the computer. A high-level language is pretty similar to a human language, and therefore can be easily understood by the developers. High-level language requires the compiler to translate commands to the computer.

Programming and algorithms can be termed as commands given to the computer to perform actions. Programming leads to executable programs from a computing problem and involves developing, generating, and analysing algorithms. Algorithms refer to an act done involving a step-by-step process to solve a problem. It is a set of logic written in software.

There are two types of software; operating software that helps in operation and system software necessary to run a system. Operating software can be rewritten and changed according to demand, but system software cannot be altered. If developers require any alterations, they would have to develop new software.

There are various topics that can be considered for  research dissertation purposes  under this theme, a list of which is given below.

  • Application of algorithms.
  • Importance of approximation algorithms on graphs.
  • Critical analysis of data structures on trees.
  • Evaluation and implementation of new algorithms.
  • System software: A link to communicate hardware.
  • Difference between binary dispatching and multiple dispatching.
  • Analysis of plan sweep techniques.
  • Investigation of software support to drivers of devices.
  • Intelligent interface for database systems.
  • Analysis of function and types of union-find.
  • The usefulness of different coding languages.
  • Application of basic hardware knowledge and math skills.
  • Analysis of the design of converter based on new moduli.
  • Analysis of information travelling via software.
  • Evaluation and implementation of heuristic algorithms.
  • Development of applications using Java.
  • Analysis of fault tolerance in a network by using simulation.
  • Importance of system software for computers.
  • Effects of larger integer module operations.
  • Consequences of wrong commands in coding.
  • Investigation of the coding language of system software.
  • Analysis of feasibility environment of platform.
  • Evaluation of heuristic algorithms for generating clusters.
  • Critical analysis of fixed control variable.
  • Analysis of design of converter with large dynamic range.
  • Ways to recover corrupted software.
  • Analysis of fault tolerance of sorting network.
  • Analysis of the difference between LAN and WAN.
  • Development of an algorithm for a one-way hashing system.
  • Relation between dynamic access and fixed values.
  • Importance of right language selection while coding.
  • Study of optimization problems.
  • Analysis of security frameworks for web services.
  • Investigating algorithms techniques.
  • Partial persistence of algorithms vs others.
  • Study of time and space problems of algorithmic functions.
  • Effects of linear and logarithmic factors over programming.
  • Discussion about union-find with deletion.
  • Importance of data structure for bridge core problems.
  • Consequences of fault in interconnected networks.
  • Difference between rooted and unrooted tree.

Information Systems Dissertation Topics

Information systems refer to a group of people and computers that are being used for the interpretation of all kinds of information. Computer-based information systems are a very interesting topic for research. It includes all information regarding decision making, management support, and operations and can also be used to access the database.

There is an obvious difference between computer systems, information systems, and business processes. The information system provides the tools to manage businesses successfully.

An information system can be said to be a workstation where humans and machines work together towards the success of a business. One such example is Wal-Mart. The company is entirely based on information systems and has connected its suppliers, vendors, customers and together.

It deals with a large number of data and consists of hardware, software, network, and telecommunications of the operation. Below is a list of research topics in the field of information systems for you to base your dissertation  on:

  • Analysis of challenges in building information systems for any organisation.
  • Impact of cyberinfrastructure on the customer.
  • Role of information system in scientific innovations.
  • The usefulness of information systems for businesses.
  • Advantages of information systems.
  • Access to information systems by employees anywhere in the world.
  • Preparation of a database management system.
  • Analysis and solution of database management systems.
  • Study of support of information system to hardware.
  • Managing information systems of big stores, The case of Walmart.
  • Analysis of information system built for E-learning.
  • Critical analysis of the changing nature of the web.
  • Role of information system in decision making of disruptions.
  • Examine customer response through the information system.
  • Investigate the impact of a virus in the network
  • Relationship between I.T education and an organization.
  • Role of information system in global warming.
  • Investigate the reason for adopting green information systems.
  • Analysis of the between social networks and information systems.
  • Role of information system in dealing with complex business problems.

Important Notes:

As a computing engineering student looking to get good grades, it is essential to develop new ideas and experiment with existing computing engineering theories – i.e., to add value and interest in your research topic.

The field of computing engineering is vast and interrelated to so many other academic disciplines like civil engineering , finance , construction ,  law ,  healthcare , mental health , artificial intelligence , tourism , physiotherapy , sociology , management , marketing and nursing . That is why it is imperative to create a project management dissertation topic that is articular, sound, and actually solves a practical problem that may be rampant in the field.

We can’t stress how important it is to develop a logical research topic; it is the basis of your entire research. There are several significant downfalls to getting your topic wrong; your supervisor may not be interested in working on it, the topic has no academic creditability, the research may not make logical sense, there is a possibility that the study is not viable.

This impacts your time and efforts in  writing your dissertation  as you may end up in the cycle of rejection at the very initial stage of the dissertation. That is why we recommend reviewing existing research to develop a topic, taking advice from your supervisor, and even asking for help in this particular stage of your dissertation.

While developing a research topic, keeping our advice in mind will allow you to pick one of the best computing engineering dissertation topics that fulfill your requirement of writing a research paper and add to the body of knowledge.

Therefore, it is recommended that when finalizing your dissertation topic, you read recently published literature to identify gaps in the research that you may help fill.

Remember- dissertation topics need to be unique, solve an identified problem, be logical, and be practically implemented. Take a look at some of our sample computing engineering dissertation topics to get an idea for your own dissertation.

How to Structure your Dissertation on Computing Engineering

A well-structured   dissertation can help students   to achieve a high overall academic grade.

  • A Title Page
  • Acknowledgements
  • Declaration
  • Abstract: A summary of the research completed
  • Table of Contents
  • Introduction : This chapter includes the project rationale, research background, key research aims and objectives, and the research problems to be addressed. An outline of the structure of a dissertation  can also be added to this chapter.
  • Literature Review :  This chapter presents relevant theories and frameworks by analysing published and unpublished literature available on the chosen research topic, in light of  research questions  to be addressed. The purpose is to highlight and discuss the relative weaknesses and strengths of the selected research area whilst identifying any research gaps. Break down of the topic, and key terms can have a positive impact on your dissertation and your tutor.
  • Methodology:  The  data collection  and  analysis  methods and techniques employed by the researcher are presented in the Methodology chapter which usually includes  research design,  research philosophy, research limitations, code of conduct, ethical consideration, data collection methods and  data analysis strategy .
  • Findings and Analysis:  Findings of the research are analysed in detail under the Findings and Analysis chapter. All key findings/results are outlined in this chapter without interpreting the data or drawing any conclusions. It can be useful to include  graphs , charts, and   tables in this chapter to identify meaningful trends and relationships.
  • Discussion  and  Conclusion: The researcher presents his interpretation of results in this chapter, and states whether the research hypothesis has been verified or not. An essential aspect of this section of the paper is to draw a linkage between the results and evidence from the literature. Recommendations with regards to implications of the findings and directions for the future may also be provided. Finally, a summary of the overall research, along with final judgments, opinions, and comments, must be included in the form of suggestions for improvement.
  • References:  This should be completed in accordance with your University’s requirements
  • Bibliography
  • Appendices:  Any additional information, diagrams, graphs that were used to  complete the  dissertation  but not part of the dissertation should be included in the Appendices chapter. Essentially, the purpose is to expand the information/data.

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How to find dissertation topics about computing engineering.

To find computing engineering dissertation topics:

  • Explore emerging technologies.
  • Investigate industry challenges.
  • Review recent research papers.
  • Consider AI, cybersecurity, IoT.
  • Brainstorm software/hardware innovations.
  • Select a topic aligning with your passion and career aspirations.

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Research Topics & Ideas: CompSci & IT

50+ Computer Science Research Topic Ideas To Fast-Track Your Project

IT & Computer Science Research Topics

Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you’ve landed on this post, chances are you’re looking for a computer science-related research topic , but aren’t sure where to start. Here, we’ll explore a variety of CompSci & IT-related research ideas and topic thought-starters, including algorithms, AI, networking, database systems, UX, information security and software engineering.

NB – This is just the start…

The topic ideation and evaluation process has multiple steps . In this post, we’ll kickstart the process by sharing some research topic ideas within the CompSci domain. This is the starting point, but to develop a well-defined research topic, you’ll need to identify a clear and convincing research gap , along with a well-justified plan of action to fill that gap.

If you’re new to the oftentimes perplexing world of research, or if this is your first time undertaking a formal academic research project, be sure to check out our free dissertation mini-course. In it, we cover the process of writing a dissertation or thesis from start to end. Be sure to also sign up for our free webinar that explores how to find a high-quality research topic. 

Overview: CompSci Research Topics

  • Algorithms & data structures
  • Artificial intelligence ( AI )
  • Computer networking
  • Database systems
  • Human-computer interaction
  • Information security (IS)
  • Software engineering
  • Examples of CompSci dissertation & theses

Topics/Ideas: Algorithms & Data Structures

  • An analysis of neural network algorithms’ accuracy for processing consumer purchase patterns
  • A systematic review of the impact of graph algorithms on data analysis and discovery in social media network analysis
  • An evaluation of machine learning algorithms used for recommender systems in streaming services
  • A review of approximation algorithm approaches for solving NP-hard problems
  • An analysis of parallel algorithms for high-performance computing of genomic data
  • The influence of data structures on optimal algorithm design and performance in Fintech
  • A Survey of algorithms applied in internet of things (IoT) systems in supply-chain management
  • A comparison of streaming algorithm performance for the detection of elephant flows
  • A systematic review and evaluation of machine learning algorithms used in facial pattern recognition
  • Exploring the performance of a decision tree-based approach for optimizing stock purchase decisions
  • Assessing the importance of complete and representative training datasets in Agricultural machine learning based decision making.
  • A Comparison of Deep learning algorithms performance for structured and unstructured datasets with “rare cases”
  • A systematic review of noise reduction best practices for machine learning algorithms in geoinformatics.
  • Exploring the feasibility of applying information theory to feature extraction in retail datasets.
  • Assessing the use case of neural network algorithms for image analysis in biodiversity assessment

Topics & Ideas: Artificial Intelligence (AI)

  • Applying deep learning algorithms for speech recognition in speech-impaired children
  • A review of the impact of artificial intelligence on decision-making processes in stock valuation
  • An evaluation of reinforcement learning algorithms used in the production of video games
  • An exploration of key developments in natural language processing and how they impacted the evolution of Chabots.
  • An analysis of the ethical and social implications of artificial intelligence-based automated marking
  • The influence of large-scale GIS datasets on artificial intelligence and machine learning developments
  • An examination of the use of artificial intelligence in orthopaedic surgery
  • The impact of explainable artificial intelligence (XAI) on transparency and trust in supply chain management
  • An evaluation of the role of artificial intelligence in financial forecasting and risk management in cryptocurrency
  • A meta-analysis of deep learning algorithm performance in predicting and cyber attacks in schools

Research topic idea mega list

Topics & Ideas: Networking

  • An analysis of the impact of 5G technology on internet penetration in rural Tanzania
  • Assessing the role of software-defined networking (SDN) in modern cloud-based computing
  • A critical analysis of network security and privacy concerns associated with Industry 4.0 investment in healthcare.
  • Exploring the influence of cloud computing on security risks in fintech.
  • An examination of the use of network function virtualization (NFV) in telecom networks in Southern America
  • Assessing the impact of edge computing on network architecture and design in IoT-based manufacturing
  • An evaluation of the challenges and opportunities in 6G wireless network adoption
  • The role of network congestion control algorithms in improving network performance on streaming platforms
  • An analysis of network coding-based approaches for data security
  • Assessing the impact of network topology on network performance and reliability in IoT-based workspaces

Free Webinar: How To Find A Dissertation Research Topic

Topics & Ideas: Database Systems

  • An analysis of big data management systems and technologies used in B2B marketing
  • The impact of NoSQL databases on data management and analysis in smart cities
  • An evaluation of the security and privacy concerns of cloud-based databases in financial organisations
  • Exploring the role of data warehousing and business intelligence in global consultancies
  • An analysis of the use of graph databases for data modelling and analysis in recommendation systems
  • The influence of the Internet of Things (IoT) on database design and management in the retail grocery industry
  • An examination of the challenges and opportunities of distributed databases in supply chain management
  • Assessing the impact of data compression algorithms on database performance and scalability in cloud computing
  • An evaluation of the use of in-memory databases for real-time data processing in patient monitoring
  • Comparing the effects of database tuning and optimization approaches in improving database performance and efficiency in omnichannel retailing

Topics & Ideas: Human-Computer Interaction

  • An analysis of the impact of mobile technology on human-computer interaction prevalence in adolescent men
  • An exploration of how artificial intelligence is changing human-computer interaction patterns in children
  • An evaluation of the usability and accessibility of web-based systems for CRM in the fast fashion retail sector
  • Assessing the influence of virtual and augmented reality on consumer purchasing patterns
  • An examination of the use of gesture-based interfaces in architecture
  • Exploring the impact of ease of use in wearable technology on geriatric user
  • Evaluating the ramifications of gamification in the Metaverse
  • A systematic review of user experience (UX) design advances associated with Augmented Reality
  • A comparison of natural language processing algorithms automation of customer response Comparing end-user perceptions of natural language processing algorithms for automated customer response
  • Analysing the impact of voice-based interfaces on purchase practices in the fast food industry

Research Topic Kickstarter - Need Help Finding A Research Topic?

Topics & Ideas: Information Security

  • A bibliometric review of current trends in cryptography for secure communication
  • An analysis of secure multi-party computation protocols and their applications in cloud-based computing
  • An investigation of the security of blockchain technology in patient health record tracking
  • A comparative study of symmetric and asymmetric encryption algorithms for instant text messaging
  • A systematic review of secure data storage solutions used for cloud computing in the fintech industry
  • An analysis of intrusion detection and prevention systems used in the healthcare sector
  • Assessing security best practices for IoT devices in political offices
  • An investigation into the role social media played in shifting regulations related to privacy and the protection of personal data
  • A comparative study of digital signature schemes adoption in property transfers
  • An assessment of the security of secure wireless communication systems used in tertiary institutions

Topics & Ideas: Software Engineering

  • A study of agile software development methodologies and their impact on project success in pharmacology
  • Investigating the impacts of software refactoring techniques and tools in blockchain-based developments
  • A study of the impact of DevOps practices on software development and delivery in the healthcare sector
  • An analysis of software architecture patterns and their impact on the maintainability and scalability of cloud-based offerings
  • A study of the impact of artificial intelligence and machine learning on software engineering practices in the education sector
  • An investigation of software testing techniques and methodologies for subscription-based offerings
  • A review of software security practices and techniques for protecting against phishing attacks from social media
  • An analysis of the impact of cloud computing on the rate of software development and deployment in the manufacturing sector
  • Exploring the impact of software development outsourcing on project success in multinational contexts
  • An investigation into the effect of poor software documentation on app success in the retail sector

CompSci & IT Dissertations/Theses

While the ideas we’ve presented above are a decent starting point for finding a CompSci-related research topic, they are fairly generic and non-specific. So, it helps to look at actual dissertations and theses to see how this all comes together.

Below, we’ve included a selection of research projects from various CompSci-related degree programs to help refine your thinking. These are actual dissertations and theses, written as part of Master’s and PhD-level programs, so they can provide some useful insight as to what a research topic looks like in practice.

  • An array-based optimization framework for query processing and data analytics (Chen, 2021)
  • Dynamic Object Partitioning and replication for cooperative cache (Asad, 2021)
  • Embedding constructural documentation in unit tests (Nassif, 2019)
  • PLASA | Programming Language for Synchronous Agents (Kilaru, 2019)
  • Healthcare Data Authentication using Deep Neural Network (Sekar, 2020)
  • Virtual Reality System for Planetary Surface Visualization and Analysis (Quach, 2019)
  • Artificial neural networks to predict share prices on the Johannesburg stock exchange (Pyon, 2021)
  • Predicting household poverty with machine learning methods: the case of Malawi (Chinyama, 2022)
  • Investigating user experience and bias mitigation of the multi-modal retrieval of historical data (Singh, 2021)
  • Detection of HTTPS malware traffic without decryption (Nyathi, 2022)
  • Redefining privacy: case study of smart health applications (Al-Zyoud, 2019)
  • A state-based approach to context modeling and computing (Yue, 2019)
  • A Novel Cooperative Intrusion Detection System for Mobile Ad Hoc Networks (Solomon, 2019)
  • HRSB-Tree for Spatio-Temporal Aggregates over Moving Regions (Paduri, 2019)

Looking at these titles, you can probably pick up that the research topics here are quite specific and narrowly-focused , compared to the generic ones presented earlier. This is an important thing to keep in mind as you develop your own research topic. That is to say, to create a top-notch research topic, you must be precise and target a specific context with specific variables of interest . In other words, you need to identify a clear, well-justified research gap.

Fast-Track Your Research Topic

If you’re still feeling a bit unsure about how to find a research topic for your Computer Science dissertation or research project, check out our Topic Kickstarter service.

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Research topics and ideas about data science and big data analytics

Investigating the impacts of software refactoring techniques and tools in blockchain-based developments.

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Investigating the impacts of software refactoring techniques and tools in blockchain-based developments is in my favour. May i get the proper material about that ?

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Suggested Undergraduate Research Topics

thesis topics computer engineering

How to Contact Faculty for IW/Thesis Advising

Send the professor an e-mail. When you write a professor, be clear that you want a meeting regarding a senior thesis or one-on-one IW project, and briefly describe the topic or idea that you want to work on. Check the faculty listing for email addresses.

Parastoo Abtahi, Room 419

Available for single-semester IW and senior thesis advising, 2023-2024

  • Research Areas: Human-Computer Interaction (HCI), Augmented Reality (AR), and Spatial Computing
  • Input techniques for on-the-go interaction (e.g., eye-gaze, microgestures, voice) with a focus on uncertainty, disambiguation, and privacy.
  • Minimal and timely multisensory output (e.g., spatial audio, haptics) that enables users to attend to their physical environment and the people around them, instead of a 2D screen.
  • Interaction with intelligent systems (e.g., IoT, robots) situated in physical spaces with a focus on updating users’ mental model despite the complexity and dynamicity of these systems.

Ryan Adams, Room 411

Research areas:

  • Machine learning driven design
  • Generative models for structured discrete objects
  • Approximate inference in probabilistic models
  • Accelerating solutions to partial differential equations
  • Innovative uses of automatic differentiation
  • Modeling and optimizing 3d printing and CNC machining

Andrew Appel, Room 209

  • Research Areas: Formal methods, programming languages, compilers, computer security.
  • Software verification (for which taking COS 326 / COS 510 is helpful preparation)
  • Game theory of poker or other games (for which COS 217 / 226 are helpful)
  • Computer game-playing programs (for which COS 217 / 226)
  •  Risk-limiting audits of elections (for which ORF 245 or other knowledge of probability is useful)

Sanjeev Arora, Room 407

  • Theoretical machine learning, deep learning and its analysis, natural language processing. My advisees would typically have taken a course in algorithms (COS423 or COS 521 or equivalent) and a course in machine learning.
  • Show that finding approximate solutions to NP-complete problems is also NP-complete (i.e., come up with NP-completeness reductions a la COS 487). 
  • Experimental Algorithms: Implementing and Evaluating Algorithms using existing software packages. 
  • Studying/designing provable algorithms for machine learning and implementions using packages like scipy and MATLAB, including applications in Natural language processing and deep learning.
  • Any topic in theoretical computer science.

David August, Room 221

  • Research Areas: Computer Architecture, Compilers, Parallelism
  • Containment-based approaches to security:  We have designed and tested a simple hardware+software containment mechanism that stops incorrect communication resulting from faults, bugs, or exploits from leaving the system.   Let's explore ways to use containment to solve real problems.  Expect to work with corporate security and technology decision-makers.
  • Parallelism: Studies show much more parallelism than is currently realized in compilers and architectures.  Let's find ways to realize this parallelism.
  • Any other interesting topic in computer architecture or compilers. 

Mark Braverman, 194 Nassau St., Room 231

Available for Spring 2024 single-semester IW, only

  • Research Areas: computational complexity, algorithms, applied probability, computability over the real numbers, game theory and mechanism design, information theory.
  • Topics in computational and communication complexity.
  • Applications of information theory in complexity theory.
  • Algorithms for problems under real-life assumptions.
  • Game theory, network effects
  • Mechanism design (could be on a problem proposed by the student)

Sebastian Caldas, 221 Nassau Street, Room 105

  • Research Areas: collaborative learning, machine learning for healthcare. Typically, I will work with students that have taken COS324.
  • Methods for collaborative and continual learning.
  • Machine learning for healthcare applications.

Bernard Chazelle, 194 Nassau St., Room 301

  • Research Areas: Natural Algorithms, Computational Geometry, Sublinear Algorithms. 
  • Natural algorithms (flocking, swarming, social networks, etc).
  • Sublinear algorithms
  • Self-improving algorithms
  • Markov data structures

Danqi Chen, Room 412

Not available for IW or thesis advising, 2023-2024

  • My advisees would be expected to have taken a course in machine learning and ideally have taken COS484 or an NLP graduate seminar.
  • Representation learning for text and knowledge bases
  • Pre-training and transfer learning
  • Question answering and reading comprehension
  • Information extraction
  • Text summarization
  • Any other interesting topics related to natural language understanding/generation

Marcel Dall'Agnol, Corwin 034

Available for single-semester and senior thesis advising, 2023-2024

  • Research Areas: Theoretical computer science. (Specifically, quantum computation, sublinear algorithms, complexity theory, interactive proofs and cryptography)

Jia Deng, Room 423

Available for Fall 2023 single-semester IW, only

  •  Research Areas: Computer Vision, Machine Learning.
  • Object recognition and action recognition
  • Deep Learning, autoML, meta-learning
  • Geometric reasoning, logical reasoning

Adji Bousso Dieng, Room 406

  • Research areas: Vertaix is a research lab at Princeton University led by Professor Adji Bousso Dieng. We work at the intersection of artificial intelligence (AI) and the natural sciences. The models and algorithms we develop are motivated by problems in those domains and contribute to advancing methodological research in AI. We leverage tools in statistical machine learning and deep learning in developing methods for learning with the data, of various modalities, arising from the natural sciences.

Robert Dondero, Corwin Hall, Room 038

  • Research Areas:  Software engineering; software engineering education.
  • Develop or evaluate tools to facilitate student learning in undergraduate computer science courses at Princeton, and beyond.
  • In particular, can code critiquing tools help students learn about software quality?

Zeev Dvir, 194 Nassau St., Room 250

Not available for IW or thesis advising, 2023-2024.

  • Research Areas: computational complexity, pseudo-randomness, coding theory and discrete mathematics.
  • Independent Research: I have various research problems related to Pseudorandomness, Coding theory, Complexity and Discrete mathematics - all of which require strong mathematical background. A project could also be based on writing a survey paper describing results from a few theory papers revolving around some particular subject.

Benjamin Eysenbach, Room 416

  • Research areas: reinforcement learning, machine learning. My advisees would typically have taken COS324.
  • Using RL algorithms to applications in science and engineering.
  • Emergent behavior of RL algorithms on high-fidelity robotic simulators.
  • Studying how architectures and representations can facilitate generalization.

Christiane Fellbaum, 1-S-14 Green

No longer available for single-term IW and senior thesis advising, 2023-2024

  • Research Areas: theoretical and computational linguistics, word sense disambiguation, lexical resource construction, English and multilingual WordNet(s), ontology
  • Anything having to do with natural language--come and see me with/for ideas suitable to your background and interests. Some topics students have worked on in the past:
  • Developing parsers, part-of-speech taggers, morphological analyzers for underrepresented languages (you don't have to know the language to develop such tools!)
  • Quantitative approaches to theoretical linguistics questions
  • Extensions and interfaces for WordNet (English and WN in other languages),
  • Applications of WordNet(s), including:
  • Foreign language tutoring systems,
  • Spelling correction software,
  • Word-finding/suggestion software for ordinary users and people with memory problems,
  • Machine Translation 
  • Sentiment and Opinion detection
  • Automatic reasoning and inferencing
  • Collaboration with professors in the social sciences and humanities ("Digital Humanities")

Adam Finkelstein, Room 424 

  • Research Areas: computer graphics, audio.

Robert S. Fish, Corwin Hall, Room 037

No longer available for single-semester IW and senior thesis advising, 2023-2024

  • Networking and telecommunications
  • Learning, perception, and intelligence, artificial and otherwise;
  • Human-computer interaction and computer-supported cooperative work
  • Online education, especially in Computer Science Education
  • Topics in research and development innovation methodologies including standards, open-source, and entrepreneurship
  • Distributed autonomous organizations and related blockchain technologies

Michael Freedman, Room 308 

  • Research Areas: Distributed systems, security, networking
  • Projects related to streaming data analysis, datacenter systems and networks, untrusted cloud storage and applications. Please see my group website at http://sns.cs.princeton.edu/ for current research projects.

Ruth Fong, Room 032

  • Research Areas: computer vision, machine learning, deep learning, interpretability, explainable AI, fairness and bias in AI
  • Develop a technique for understanding AI models
  • Design a AI model that is interpretable by design
  • Build a paradigm for detecting and/or correcting failure points in an AI model
  • Analyze an existing AI model and/or dataset to better understand its failure points
  • Build a computer vision system for another domain (e.g., medical imaging, satellite data, etc.)
  • Develop a software package for explainable AI
  • Adapt explainable AI research to a consumer-facing problem

Note: I am happy to advise any project if there's a sufficient overlap in interest and/or expertise; please reach out via email to chat about project ideas.

Tom Griffiths, Room 405

Research areas: computational cognitive science, computational social science, machine learning and artificial intelligence

Note: I am open to projects that apply ideas from computer science to understanding aspects of human cognition in a wide range of areas, from decision-making to cultural evolution and everything in between. For example, we have current projects analyzing chess game data and magic tricks, both of which give us clues about how human minds work. Students who have expertise or access to data related to games, magic, strategic sports like fencing, or other quantifiable domains of human behavior feel free to get in touch.

Aarti Gupta, Room 220

  • Research Areas: Formal methods, program analysis, logic decision procedures
  • Finding bugs in open source software using automatic verification tools
  • Software verification (program analysis, model checking, test generation)
  • Decision procedures for logical reasoning (SAT solvers, SMT solvers)

Elad Hazan, Room 409  

  • Research interests: machine learning methods and algorithms, efficient methods for mathematical optimization, regret minimization in games, reinforcement learning, control theory and practice
  • Machine learning, efficient methods for mathematical optimization, statistical and computational learning theory, regret minimization in games.
  • Implementation and algorithm engineering for control, reinforcement learning and robotics
  • Implementation and algorithm engineering for time series prediction

Felix Heide, Room 410

  • Research Areas: Computational Imaging, Computer Vision, Machine Learning (focus on Optimization and Approximate Inference).
  • Optical Neural Networks
  • Hardware-in-the-loop Holography
  • Zero-shot and Simulation-only Learning
  • Object recognition in extreme conditions
  • 3D Scene Representations for View Generation and Inverse Problems
  • Long-range Imaging in Scattering Media
  • Hardware-in-the-loop Illumination and Sensor Optimization
  • Inverse Lidar Design
  • Phase Retrieval Algorithms
  • Proximal Algorithms for Learning and Inference
  • Domain-Specific Language for Optics Design

Kyle Jamieson, Room 306

  • Research areas: Wireless and mobile networking; indoor radar and indoor localization; Internet of Things
  • See other topics on my independent work  ideas page  (campus IP and CS dept. login req'd)

Alan Kaplan, 221 Nassau Street, Room 105

Research Areas:

  • Random apps of kindness - mobile application/technology frameworks used to help individuals or communities; topic areas include, but are not limited to: first response, accessibility, environment, sustainability, social activism, civic computing, tele-health, remote learning, crowdsourcing, etc.
  • Tools automating programming language interoperability - Java/C++, React Native/Java, etc.
  • Software visualization tools for education
  • Connected consumer devices, applications and protocols

Brian Kernighan, Room 311

  • Research Areas: application-specific languages, document preparation, user interfaces, software tools, programming methodology
  • Application-oriented languages, scripting languages.
  • Tools; user interfaces
  • Digital humanities

Zachary Kincaid, Room 219

  • Research areas: programming languages, program analysis, program verification, automated reasoning
  • Independent Research Topics:
  • Develop a practical algorithm for an intractable problem (e.g., by developing practical search heuristics, or by reducing to, or by identifying a tractable sub-problem, ...).
  • Design a domain-specific programming language, or prototype a new feature for an existing language.
  • Any interesting project related to programming languages or logic.

Gillat Kol, Room 316

Aleksandra korolova, 309 sherrerd hall.

Available for single-term IW and senior thesis advising, 2023-2024

  • Research areas: Societal impacts of algorithms and AI; privacy; fair and privacy-preserving machine learning; algorithm auditing.

Advisees typically have taken one or more of COS 226, COS 324, COS 423, COS 424 or COS 445.

Amit Levy, Room 307

  • Research Areas: Operating Systems, Distributed Systems, Embedded Systems, Internet of Things
  • Distributed hardware testing infrastructure
  • Second factor security tokens
  • Low-power wireless network protocol implementation
  • USB device driver implementation

Kai Li, Room 321

  • Research Areas: Distributed systems; storage systems; content-based search and data analysis of large datasets.
  • Fast communication mechanisms for heterogeneous clusters.
  • Approximate nearest-neighbor search for high dimensional data.
  • Data analysis and prediction of in-patient medical data.
  • Optimized implementation of classification algorithms on manycore processors.

Xiaoyan Li, 221 Nassau Street, Room 104

  • Research areas: Information retrieval, novelty detection, question answering, AI, machine learning and data analysis.
  • Explore new statistical retrieval models for document retrieval and question answering.
  • Apply AI in various fields.
  • Apply supervised or unsupervised learning in health, education, finance, and social networks, etc.
  • Any interesting project related to AI, machine learning, and data analysis.

Wyatt Lloyd, Room 323

  • Research areas: Distributed Systems
  • Caching algorithms and implementations
  • Storage systems
  • Distributed transaction algorithms and implementations

Margaret Martonosi, Room 208

  • Quantum Computing research, particularly related to architecture and compiler issues for QC.
  • Computer architectures specialized for modern workloads (e.g., graph analytics, machine learning algorithms, mobile applications
  • Investigating security and privacy vulnerabilities in computer systems, particularly IoT devices.
  • Other topics in computer architecture or mobile / IoT systems also possible.

Jonathan Mayer, Sherrerd Hall, Room 307 

  • Research areas: Technology law and policy, with emphasis on national security, criminal procedure, consumer privacy, network management, and online speech.
  • Assessing the effects of government policies, both in the public and private sectors.
  • Collecting new data that relates to government decision making, including surveying current business practices and studying user behavior.
  • Developing new tools to improve government processes and offer policy alternatives.

Andrés Monroy-Hernández, Room 405

  • Research Areas: Human-Computer Interaction, Social Computing, Public-Interest Technology, Augmented Reality, Urban Computing
  • Research interests:developing public-interest socio-technical systems.  We are currently creating alternatives to gig work platforms that are more equitable for all stakeholders. For instance, we are investigating the socio-technical affordances necessary to support a co-op food delivery network owned and managed by workers and restaurants. We are exploring novel system designs that support self-governance, decentralized/federated models, community-centered data ownership, and portable reputation systems.  We have opportunities for students interested in human-centered computing, UI/UX design, full-stack software development, and qualitative/quantitative user research.
  • Beyond our core projects, we are open to working on research projects that explore the use of emerging technologies, such as AR, wearables, NFTs, and DAOs, for creative and out-of-the-box applications.

Christopher Moretti, Corwin Hall, Room 036

  • Research areas: Distributed systems, high-throughput computing, computer science/engineering education
  • Expansion, improvement, and evaluation of open-source distributed computing software.
  • Applications of distributed computing for "big science" (e.g. biometrics, data mining, bioinformatics)
  • Software and best practices for computer science education and study, especially Princeton's 126/217/226 sequence or MOOCs development
  • Sports analytics and/or crowd-sourced computing

Radhika Nagpal, F316 Engineering Quadrangle

  • Research areas: control, robotics and dynamical systems

Karthik Narasimhan, Room 422

  • Research areas: Natural Language Processing, Reinforcement Learning
  • Autonomous agents for text-based games ( https://www.microsoft.com/en-us/research/project/textworld/ )
  • Transfer learning/generalization in NLP
  • Techniques for generating natural language
  • Model-based reinforcement learning

Arvind Narayanan, 308 Sherrerd Hall 

Research Areas: fair machine learning (and AI ethics more broadly), the social impact of algorithmic systems, tech policy

Pedro Paredes, Corwin Hall, Room 041

My primary research work is in Theoretical Computer Science.

 * Research Interest: Spectral Graph theory, Pseudorandomness, Complexity theory, Coding Theory, Quantum Information Theory, Combinatorics.

The IW projects I am interested in advising can be divided into three categories:

 1. Theoretical research

I am open to advise work on research projects in any topic in one of my research areas of interest. A project could also be based on writing a survey given results from a few papers. Students should have a solid background in math (e.g., elementary combinatorics, graph theory, discrete probability, basic algebra/calculus) and theoretical computer science (226 and 240 material, like big-O/Omega/Theta, basic complexity theory, basic fundamental algorithms). Mathematical maturity is a must.

A (non exhaustive) list of topics of projects I'm interested in:   * Explicit constructions of better vertex expanders and/or unique neighbor expanders.   * Construction deterministic or random high dimensional expanders.   * Pseudorandom generators for different problems.   * Topics around the quantum PCP conjecture.   * Topics around quantum error correcting codes and locally testable codes, including constructions, encoding and decoding algorithms.

 2. Theory informed practical implementations of algorithms   Very often the great advances in theoretical research are either not tested in practice or not even feasible to be implemented in practice. Thus, I am interested in any project that consists in trying to make theoretical ideas applicable in practice. This includes coming up with new algorithms that trade some theoretical guarantees for feasible implementation yet trying to retain the soul of the original idea; implementing new algorithms in a suitable programming language; and empirically testing practical implementations and comparing them with benchmarks / theoretical expectations. A project in this area doesn't have to be in my main areas of research, any theoretical result could be suitable for such a project.

Some examples of areas of interest:   * Streaming algorithms.   * Numeric linear algebra.   * Property testing.   * Parallel / Distributed algorithms.   * Online algorithms.    3. Machine learning with a theoretical foundation

I am interested in projects in machine learning that have some mathematical/theoretical, even if most of the project is applied. This includes topics like mathematical optimization, statistical learning, fairness and privacy.

One particular area I have been recently interested in is in the area of rating systems (e.g., Chess elo) and applications of this to experts problems.

Final Note: I am also willing to advise any project with any mathematical/theoretical component, even if it's not the main one; please reach out via email to chat about project ideas.

Iasonas Petras, Corwin Hall, Room 033

  • Research Areas: Information Based Complexity, Numerical Analysis, Quantum Computation.
  • Prerequisites: Reasonable mathematical maturity. In case of a project related to Quantum Computation a certain familiarity with quantum mechanics is required (related courses: ELE 396/PHY 208).
  • Possible research topics include:

1.   Quantum algorithms and circuits:

  • i. Design or simulation quantum circuits implementing quantum algorithms.
  • ii. Design of quantum algorithms solving/approximating continuous problems (such as Eigenvalue problems for Partial Differential Equations).

2.   Information Based Complexity:

  • i. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems in various settings (for example worst case or average case). 
  • ii. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems under new tractability and error criteria.
  • iii. Necessary and sufficient conditions for tractability of Weighted problems.
  • iv. Necessary and sufficient conditions for tractability of Weighted Problems under new tractability and error criteria.

3. Topics in Scientific Computation:

  • i. Randomness, Pseudorandomness, MC and QMC methods and their applications (Finance, etc)

Yuri Pritykin, 245 Carl Icahn Lab

  • Research interests: Computational biology; Cancer immunology; Regulation of gene expression; Functional genomics; Single-cell technologies.
  • Potential research projects: Development, implementation, assessment and/or application of algorithms for analysis, integration, interpretation and visualization of multi-dimensional data in molecular biology, particularly single-cell and spatial genomics data.

Benjamin Raphael, Room 309  

  • Research interests: Computational biology and bioinformatics; Cancer genomics; Algorithms and machine learning approaches for analysis of large-scale datasets
  • Implementation and application of algorithms to infer evolutionary processes in cancer
  • Identifying correlations between combinations of genomic mutations in human and cancer genomes
  • Design and implementation of algorithms for genome sequencing from new DNA sequencing technologies
  • Graph clustering and network anomaly detection, particularly using diffusion processes and methods from spectral graph theory

Vikram Ramaswamy, 035 Corwin Hall

  • Research areas: Interpretability of AI systems, Fairness in AI systems, Computer vision.
  • Constructing a new method to explain a model / create an interpretable by design model
  • Analyzing a current model / dataset to understand bias within the model/dataset
  • Proposing new fairness evaluations
  • Proposing new methods to train to improve fairness
  • Developing synthetic datasets for fairness / interpretability benchmarks
  • Understanding robustness of models

Ran Raz, Room 240

  • Research Area: Computational Complexity
  • Independent Research Topics: Computational Complexity, Information Theory, Quantum Computation, Theoretical Computer Science

Szymon Rusinkiewicz, Room 406

  • Research Areas: computer graphics; computer vision; 3D scanning; 3D printing; robotics; documentation and visualization of cultural heritage artifacts
  • Research ways of incorporating rotation invariance into computer visiontasks such as feature matching and classification
  • Investigate approaches to robust 3D scan matching
  • Model and compensate for imperfections in 3D printing
  • Given a collection of small mobile robots, apply control policies learned in simulation to the real robots.

Olga Russakovsky, Room 408

  • Research Areas: computer vision, machine learning, deep learning, crowdsourcing, fairness&bias in AI
  • Design a semantic segmentation deep learning model that can operate in a zero-shot setting (i.e., recognize and segment objects not seen during training)
  • Develop a deep learning classifier that is impervious to protected attributes (such as gender or race) that may be erroneously correlated with target classes
  • Build a computer vision system for the novel task of inferring what object (or part of an object) a human is referring to when pointing to a single pixel in the image. This includes both collecting an appropriate dataset using crowdsourcing on Amazon Mechanical Turk, creating a new deep learning formulation for this task, and running extensive analysis of both the data and the model

Sebastian Seung, Princeton Neuroscience Institute, Room 153

  • Research Areas: computational neuroscience, connectomics, "deep learning" neural networks, social computing, crowdsourcing, citizen science
  • Gamification of neuroscience (EyeWire  2.0)
  • Semantic segmentation and object detection in brain images from microscopy
  • Computational analysis of brain structure and function
  • Neural network theories of brain function

Jaswinder Pal Singh, Room 324

  • Research Areas: Boundary of technology and business/applications; building and scaling technology companies with special focus at that boundary; parallel computing systems and applications: parallel and distributed applications and their implications for software and architectural design; system software and programming environments for multiprocessors.
  • Develop a startup company idea, and build a plan/prototype for it.
  • Explore tradeoffs at the boundary of technology/product and business/applications in a chosen area.
  • Study and develop methods to infer insights from data in different application areas, from science to search to finance to others. 
  • Design and implement a parallel application. Possible areas include graphics, compression, biology, among many others. Analyze performance bottlenecks using existing tools, and compare programming models/languages.
  • Design and implement a scalable distributed algorithm.

Mona Singh, Room 420

  • Research Areas: computational molecular biology, as well as its interface with machine learning and algorithms.
  • Whole and cross-genome methods for predicting protein function and protein-protein interactions.
  • Analysis and prediction of biological networks.
  • Computational methods for inferring specific aspects of protein structure from protein sequence data.
  • Any other interesting project in computational molecular biology.

Robert Tarjan, 194 Nassau St., Room 308

Available for single-semester IW and senior thesis advising, 2022-2023

  • Research Areas: Data structures; graph algorithms; combinatorial optimization; computational complexity; computational geometry; parallel algorithms.
  • Implement one or more data structures or combinatorial algorithms to provide insight into their empirical behavior.
  • Design and/or analyze various data structures and combinatorial algorithms.

Olga Troyanskaya, Room 320

  • Research Areas: Bioinformatics; analysis of large-scale biological data sets (genomics, gene expression, proteomics, biological networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bioinformatics.
  • Implement and evaluate one or more gene expression analysis algorithm.
  • Develop algorithms for assessment of performance of genomic analysis methods.
  • Develop, implement, and evaluate visualization tools for heterogeneous biological data.

David Walker, Room 211

  • Research Areas: Programming languages, type systems, compilers, domain-specific languages, software-defined networking and security
  • Independent Research Topics:  Any other interesting project that involves humanitarian hacking, functional programming, domain-specific programming languages, type systems, compilers, software-defined networking, fault tolerance, language-based security, theorem proving, logic or logical frameworks.

Shengyi Wang, Postdoctoral Research Associate, Room 216

  • Independent Research topics: Explore Escher-style tilings using (introductory) group theory and automata theory to produce beautiful pictures.

Kevin Wayne, Corwin Hall, Room 040

  • Research Areas: design, analysis, and implementation of algorithms; data structures; combinatorial optimization; graphs and networks.
  • Design and implement computer visualizations of algorithms or data structures.
  • Develop pedagogical tools or programming assignments for the computer science curriculum at Princeton and beyond.
  • Develop assessment infrastructure and assessments for MOOCs.

Matt Weinberg, 194 Nassau St., Room 222

  • Research Areas: algorithms, algorithmic game theory, mechanism design, game theoretical problems in {Bitcoin, networking, healthcare}.
  • Theoretical questions related to COS 445 topics such as matching theory, voting theory, auction design, etc. 
  • Theoretical questions related to incentives in applications like Bitcoin, the Internet, health care, etc. In a little bit more detail: protocols for these systems are often designed assuming that users will follow them. But often, users will actually be strictly happier to deviate from the intended protocol. How should we reason about user behavior in these protocols? How should we design protocols in these settings?

Huacheng Yu, Room 310

  • data structures
  • streaming algorithms
  • design and analyze data structures / streaming algorithms
  • prove impossibility results (lower bounds)
  • implement and evaluate data structures / streaming algorithms

Ellen Zhong, Room 314

No longer available for single-term IW  and senior thesis advising, 2023-2024

Opportunities outside the department

We encourage students to look in to doing interdisciplinary computer science research and to work with professors in departments other than computer science.  However, every CS independent work project must have a strong computer science element (even if it has other scientific or artistic elements as well.)  To do a project with an adviser outside of computer science you must have permission of the department.  This can be accomplished by having a second co-adviser within the computer science department or by contacting the independent work supervisor about the project and having he or she sign the independent work proposal form.

Here is a list of professors outside the computer science department who are eager to work with computer science undergraduates.

Maria Apostolaki, Engineering Quadrangle, C330

  • Research areas: Computing & Networking, Data & Information Science, Security & Privacy

Branko Glisic, Engineering Quadrangle, Room E330

  • Documentation of historic structures
  • Cyber physical systems for structural health monitoring
  • Developing virtual and augmented reality applications for documenting structures
  • Applying machine learning techniques to generate 3D models from 2D plans of buildings
  •  Contact : Rebecca Napolitano, rkn2 (@princeton.edu)

Mihir Kshirsagar, Sherrerd Hall, Room 315

Center for Information Technology Policy.

  • Consumer protection
  • Content regulation
  • Competition law
  • Economic development
  • Surveillance and discrimination

Sharad Malik, Engineering Quadrangle, Room B224

Select a Senior Thesis Adviser for the 2020-21 Academic Year.

  • Design of reliable hardware systems
  • Verifying complex software and hardware systems

Prateek Mittal, Engineering Quadrangle, Room B236

  • Internet security and privacy 
  • Social Networks
  • Privacy technologies, anonymous communication
  • Network Science
  • Internet security and privacy: The insecurity of Internet protocols and services threatens the safety of our critical network infrastructure and billions of end users. How can we defend end users as well as our critical network infrastructure from attacks?
  • Trustworthy social systems: Online social networks (OSNs) such as Facebook, Google+, and Twitter have revolutionized the way our society communicates. How can we leverage social connections between users to design the next generation of communication systems?
  • Privacy Technologies: Privacy on the Internet is eroding rapidly, with businesses and governments mining sensitive user information. How can we protect the privacy of our online communications? The Tor project (https://www.torproject.org/) is a potential application of interest.

Ken Norman,  Psychology Dept, PNI 137

  • Research Areas: Memory, the brain and computation 
  • Lab:  Princeton Computational Memory Lab

Potential research topics

  • Methods for decoding cognitive state information from neuroimaging data (fMRI and EEG) 
  • Neural network simulations of learning and memory

Caroline Savage

Office of Sustainability, Phone:(609)258-7513, Email: cs35 (@princeton.edu)

The  Campus as Lab  program supports students using the Princeton campus as a living laboratory to solve sustainability challenges. The Office of Sustainability has created a list of campus as lab research questions, filterable by discipline and topic, on its  website .

An example from Computer Science could include using  TigerEnergy , a platform which provides real-time data on campus energy generation and consumption, to study one of the many energy systems or buildings on campus. Three CS students used TigerEnergy to create a  live energy heatmap of campus .

Other potential projects include:

  • Apply game theory to sustainability challenges
  • Develop a tool to help visualize interactions between complex campus systems, e.g. energy and water use, transportation and storm water runoff, purchasing and waste, etc.
  • How can we learn (in aggregate) about individuals’ waste, energy, transportation, and other behaviors without impinging on privacy?

Janet Vertesi, Sociology Dept, Wallace Hall, Room 122

  • Research areas: Sociology of technology; Human-computer interaction; Ubiquitous computing.
  • Possible projects: At the intersection of computer science and social science, my students have built mixed reality games, produced artistic and interactive installations, and studied mixed human-robot teams, among other projects.

David Wentzlaff, Engineering Quadrangle, Room 228

Computing, Operating Systems, Sustainable Computing.

  • Instrument Princeton's Green (HPCRC) data center
  • Investigate power utilization on an processor core implemented in an FPGA
  • Dismantle and document all of the components in modern electronics. Invent new ways to build computers that can be recycled easier.
  • Other topics in parallel computer architecture or operating systems

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101 Best Computer Science Topics for 2023

computer science topics

Any student will know the difficulty that comes with developing and choosing a great topic in computer science. Generally speaking, a good topic should be original, interesting, and challenging. It should push the limits of the field of study while still adequately answering the main questions brought on by the study.

We understand the stress that this may cause students, which is why we’ve dedicated our time to search the web and print resources to find the latest computer science topics that create the biggest waves in the field. Here’s the list of the top computer science research topics for 2023 you can use for an essay or senior thesis :

AP Computer Science Topics for Students Entering College

  • How has big data impacted the way small businesses conduct market research?
  • Does machine learning negatively impact the way neurons in the brain work?
  • Did biotech change how medicine is administered to patients?
  • How is human perception affected by virtual reality technologies?
  • How can education benefit from using virtual reality in learning?
  • Are quantum computers the way of the future or are they just a fad?
  • Has the Covid-19 pandemic delayed advancements in computer science?

Computer Science Research Paper Topics for High School

  • How successful has distance learning computer tech been in the time of Covid-19?
  • Will computer assistance in businesses get rid of customer service needs?
  • How has encryption and decryption technology changed in the last 20 years?
  • Can AI impact computer management and make it automated?
  • Why do programmers avoid making a universal programming language?
  • How important are human interactions with computer development?
  • How will computers change in the next five to ten years?

Controversial Topics in Computer Science for Grad Students

  • What is the difference between math modeling and art?
  • How are big-budget Hollywood films being affected by CGI technologies?
  • Should students be allowed to use technology in classrooms other than comp science?
  • How important is it to limit the amount of time we spend using social media?
  • Are quantum computers for personal or home use realistic?
  • How are embedded systems changing the business world?
  • In what ways can human-computer interactions be improved?

Computer Science Capstone Project Ideas for College Courses

  • What are the physical limitations of communication and computation?
  • Is SCRUM methodology still viable for software development?
  • Are ATMs still secure machines to access money or are they a threat?
  • What are the best reasons for using open source software?
  • The future of distributed systems and its use in networks?
  • Has the increased use of social media positively or negatively affected our relationships?
  • How is machine learning impacted by artificial intelligence?

Interesting Computer Science Topics for College Students

  • How has Blockchain impacted large businesses?
  • Should people utilize internal chips to track their pets?
  • How much attention should we pay to the content we read on the web?
  • How can computers help with human genes sequencing?
  • What can be done to enhance IT security in financial institutions?
  • What does the digitization of medical fields mean for patients’ privacy?
  • How efficient are data back-up methods in business?

Hot Topics in Computer Science for High School Students

  • Is distance learning the new norm for earning postgraduate degrees?
  • In reaction to the Covid-19 pandemic should more students take online classes?
  • How can game theory aid in the analysis of algorithms?
  • How can technology impact future government elections?
  • Why are there fewer females in the computer science field?
  • Should the world’s biggest operating systems share information?
  • Is it safe to make financial transactions online?

Ph.D. Research Topics in Computer Science for Grad Students

  • How can computer technology help professional athletes improve performance?
  • How have Next Gen Stats changed the way coaches game plan?
  • How has computer technology impacted medical technology?
  • What impact has MatLab software had in the medical engineering field?
  • How does self-adaptable application impact online learning?
  • What does the future hold for information technology?
  • Should we be worried about addiction to computer technology?

Computer Science Research Topics for Undergraduates

  • How has online sports gambling changed IT needs in households?
  • In what ways have computers changed learning environments?
  • How has learning improved with interactive multimedia and similar technologies?
  • What are the psychological perspectives on IT advancements?
  • What is the balance between high engagement and addiction to video games?
  • How has the video gaming industry changed over the decades?
  • Has social media helped or damaged our communication habits?

Research Paper Topics in Computer Science

  • What is the most important methodology in project planning?
  • How has technology improved people’s chances of winning in sports betting?
  • How has artificial technology impacted the U.S. economy?
  • What are the most effective project management processes in IT?
  • How can IT security systems help the practice of fraud score generation?
  • Has technology had an impact on religion?
  • How important is it to keep your social networking profiles up to date?

More Computer Science Research Papers Topics

  • There is no area of human society that is not impacted by AI?
  • How adaptive learning helps today’s professional world?
  • Does a computer program code from a decade ago still work?
  • How has medical image analysis changed because of IT?
  • What are the ethical concerns that come with data mining?
  • Should colleges and universities have the right to block certain websites?
  • What are the major components of math computing?

Computer Science Thesis Topics for College Students

  • How can logic and sets be used in computing?
  • How has online gambling impacted in-person gambling?
  • How did the 5-G network generation change communication?
  • What are the biggest challenges to IT due to Covid-19?
  • Do you agree that assembly language is a new way to determine data-mine health?
  • How can computer technology help track down criminals?
  • Is facial recognition software a violation of privacy rights?

Quick and Easy Computer Science Project Topics

  • Why do boys and girls learn the technology so differently?
  • How effective are computer training classes that target young girls?
  • How does technology affect how medicines are administered?
  • Will further advancements in technology put people out of work?
  • How has computer science changed the way teachers educate?
  • Which are the most effective ways of fighting identify theft?

Excellent Computer Science Thesis Topic Ideas

  • What are the foreseeable business needs computers will fix?
  • What are the pros and cons of having smart home technology?
  • How does computer modernization at the office affect productivity?
  • How has computer technology led to more job outsourcing?
  • Do self-service customer centers sufficiently provide solutions?
  • How can a small business compete without updated computer products?

Computer Science Presentation Topics

  • What does the future hold for virtual reality?
  • What are the latest innovations in computer science?
  • What are the pros and cons of automating everyday life?
  • Are hackers a real threat to our privacy or just to businesses?
  • What are the five most effective ways of storing personal data?
  • What are the most important fundamentals of software engineering?

Even More Topics in Computer Science

  • In what ways do computers function differently from human brains?
  • Can world problems be solved through advancements in video game technology?
  • How has computing helped with the mapping of the human genome?
  • What are the pros and cons of developing self-operating vehicles?
  • How has computer science helped developed genetically modified foods?
  • How are computers used in the field of reproductive technologies?

Our team of academic experts works around the clock to bring you the best project topics for computer science student. We search hundreds of online articles, check discussion boards, and read through a countless number of reports to ensure our computer science topics are up-to-date and represent the latest issues in the field. If you need assistance developing research topics in computer science or need help editing or writing your assignment, we are available to lend a hand all year. Just send us a message “ help me write my thesis ” and we’ll put you in contact with an academic writer in the field.

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Home > College of Natural Sciences > COMPUTERSCI-ENGINEERING > COMPUTERSCI-ENGINEERING-ETD

Computer Science and Engineering Theses, Projects, and Dissertations

Theses/projects/dissertations from 2023 2023.

CLASSIFICATION OF LARGE SCALE FISH DATASET BY DEEP NEURAL NETWORKS , Priyanka Adapa

GEOSPATIAL WILDFIRE RISK PREDICTION USING DEEP LEARNING , Abner Alberto Benavides

HUMAN SUSPICIOUS ACTIVITY DETECTION , Nilamben Bhuva

MAX FIT EVENT MANAGEMENT WITH SALESFORCE , AKSHAY DAGWAR

MELANOMA DETECTION BASED ON DEEP LEARNING NETWORKS , Sanjay Devaraneni

Heart Disease Prediction Using Binary Classification , Virendra Sunil Devare

CLASSIFICATION OF THORAX DISEASES FROM CHEST X-RAY IMAGES , Sharad Jayusukhbhai Dobariya

WEB BASED MANAGEMENT SYSTEM FOR HOUSING SOCIETY , Likhitha Reddy Eddala

Sales and Stock Management System , Rashmika Gaddam Ms

CONTACTLESS FOOD ORDERING SYSTEM , Rishivar Kumar Goli

RESTAURANT MANAGEMENT WEBSITE , Akhil Sai Gollapudi

DISEASE OF LUNG INFECTION DETECTION USING CNN MODEL -BAYESIAN OPTIMIZATION , poojitha gutha

DATA POISONING ATTACKS ON PHASOR MEASUREMENT UNIT DATA , Rutuja Sanjeev Haridas

CRIME MAPPING ANALYSIS USING WEB APPLICATION. , Lavanya Krishnappa

A LONG-TERM FUNDS PREDICTOR BASED ON DEEP LEARNING , SHUIYI KUANG

LIVER SEGMENTATION AND LESION DETECTION IN MEDICAL IMAGES USING A DEEP LEARNING-BASED U-NET MODEL , Kaushik Mahida

PHASOR MEASUREMENT UNIT DATA VISUALIZATION , Nikhila Mandava

TWITTER POLICING , Hemanth Kumar Medisetty

TRANSACTION MANAGEMENT SYSYEM FOR A PUBLISHER , HASSAIN SHAREEF MOHAMMED JR

LOBANGU: AN OPTICAL CHARACTER RECOGNITION RECEIPT MANAGEMENT APP FOR HEALTH CENTER PHARMACIES IN THE D.R.CONGO AND SURROUNDING EASTERN AFRICAN COUNTRIES , Bénis Munganga

PREDICTIVE MODEL FOR CFPB CONSUMER COMPLAINTS , Vyshnavi Nalluri

REVIEW CLASSIFICATION USING NATURAL LANGUAGE PROCESSING AND DEEP LEARNING , Brian Nazareth

Brain Tumor Detection Using MRI Images , Mayur Patel

QUIZ WEB APPLICATION , Dipti Rathod

HYPOTHYROID DISEASE ANALYSIS BY USING MACHINE LEARNING , SANJANA SEELAM

Pillow Based Sleep Tracking Device Using Raspberry Pi , Venkatachalam Seviappan

FINSERV ANDROID APPLICATION , Harsh Piyushkumar Shah

AUTOMATED MEDICAL NOTES LABELLING AND CLASSIFICATION USING MACHINE LEARNING , Akhil Prabhakar Thota

GENETIC PROGRAMMING TO OPTIMIZE PERFORMANCE OF MACHINE LEARNING ALGORITHMS ON UNBALANCED DATA SET , Asitha Thumpati

GOVERNMENT AID PORTAL , Darshan Togadiya

GENERAL POPULATION PROJECTION MODEL WITH CENSUS POPULATION DATA , Takenori Tsuruga

LUNG LESION SEGMENTATION USING DEEP LEARNING APPROACHES , Sree Snigdha Tummala

DETECTION OF PHISHING WEBSITES USING MACHINE LEARNING , Saranya Valleri

Machine Learning for Kalman Filter Tuning Prediction in GPS/INS Trajectory Estimation , Peter Wright

Theses/Projects/Dissertations from 2022 2022

LEARN PROGRAMMING IN VIRTUAL REALITY? A PROJECT FOR COMPUTER SCIENCE STUDENTS , Benjamin Alexander

LUNG CANCER TYPE CLASSIFICATION , Mohit Ramajibhai Ankoliya

HIGH-RISK PREDICTION FOR COVID-19 PATIENTS USING MACHINE LEARNING , Raja Kajuluri

IMPROVING INDIA’S TRAFFIC MANAGEMENT USING INTELLIGENT TRANSPORTATION SYSTEMS , Umesh Makhloga

DETECTION OF EPILEPSY USING MACHINE LEARNING , Balamurugan Murugesan

SOCIAL MOBILE APPLICATION: UDROP , Mahmoud Oraiqat

Improved Sensor-Based Human Activity Recognition Via Hybrid Convolutional and Recurrent Neural Networks , Sonia Perez-Gamboa

College of Education FileMaker Extraction and End-User Database Development , Andrew Tran

DEEP LEARNING EDGE DETECTION IN IMAGE INPAINTING , Zheng Zheng

Theses/Projects/Dissertations from 2021 2021

A General Conversational Chatbot , Vipin Nambiar

Verification System , Paras Nigam

DESKTOP APPLICATION FOR THE PUZZLE BOARD GAME “RUSH HOUR” , Huanqing Nong

Ahmedabad City App , Rushabh Picha

COMPUTER SURVEILLANCE SYSTEM USING WI-FI FOR ANDROID , Shashank Reddy Saireddy

ANDROID PARKING SYSTEM , Vishesh Reddy Sripati

Sentiment Analysis: Stock Index Prediction with Multi-task Learning and Word Polarity Over Time , Yue Zhou

Theses/Projects/Dissertations from 2020 2020

BUBBLE-IN DIGITAL TESTING SYSTEM , Chaz Hampton

FEEDBACK REVIEW SYSTEM USING SENTIMENT ANALYSIS , Vineeth Kukkamalla

WEB APPLICATION FOR MOVIE PERFORMANCE PREDICTION , Devalkumar Patel

Theses/Projects/Dissertations from 2019 2019

REVIEWS TO RATING CONVERSION AND ANALYSIS USING MACHINE LEARNING TECHNIQUES , Charitha Chanamolu

EASY EXAM , SARTHAK DABHI

EXTRACT TRANSFORM AND LOADING TOOL FOR EMAIL , Amit Rajiv Lawanghare

VEHICLE INFORMATION SYSTEM USING BLOCKCHAIN , Amey Zulkanthiwar

Theses/Projects/Dissertations from 2018 2018

USING AUTOENCODER TO REDUCE THE LENGTH OF THE AUTISM DIAGNOSTIC OBSERVATION SCHEDULE (ADOS) , Sara Hussain Daghustani

California State University, San Bernardino Chatbot , Krutarth Desai

ORGANIZE EVENTS MOBILE APPLICATION , Thakshak Mani Chandra Reddy Gudimetla

SOCIAL NETWORK FOR SOFTWARE DEVELOPERS , Sanket Prabhakar Jadhav

VIRTUALIZED CLOUD PLATFORM MANAGEMENT USING A COMBINED NEURAL NETWORK AND WAVELET TRANSFORM STRATEGY , Chunyu Liu

INTER PROCESS COMMUNICATION BETWEEN TWO SERVERS USING MPICH , Nagabhavana Narla

SENSOR-BASED HUMAN ACTIVITY RECOGNITION USING BIDIRECTIONAL LSTM FOR CLOSELY RELATED ACTIVITIES , Arumugam Thendramil Pavai

NEURAL NETWORK ON VIRTUALIZATION SYSTEM, AS A WAY TO MANAGE FAILURE EVENTS OCCURRENCE ON CLOUD COMPUTING , Khoi Minh Pham

EPICCONFIGURATOR COMPUTER CONFIGURATOR AND CMS PLATFORM , IVO A. TANTAMANGO

STUDY ON THE PATTERN RECOGNITION ENHANCEMENT FOR MATRIX FACTORIZATIONS WITH AUTOMATIC RELEVANCE DETERMINATION , hau tao

Theses/Projects/Dissertations from 2017 2017

CHILDREN’S SOCIAL NETWORK: KIDS CLUB , Eiman Alrashoud

MULTI-WAY COMMUNICATION SYSTEM , S. Chinnam

WEB APPLICATION FOR GRADUATE COURSE RECOMMENDATION SYSTEM , Sayali Dhumal

MOBILE APPLICATION FOR ATTENDANCE SYSTEM COYOTE-ATTENDANCE , Sindhu Hari

WEB APPLICATION FOR GRADUATE COURSE ADVISING SYSTEM , Sanjay Karrolla

Custom T-Shirt Designs , Ranjan Khadka

STUDENT CLASS WAITING LIST ENROLLMENT , AISHWARYA LACHAGARI

ANDROID MOBILE APPLICATION FOR HOSPITAL EXECUTIVES , Vihitha Nalagatla

PIPPIN MACHINE , Kiran Reddy Pamulaparthy

SOUND MODE APPLICATION , Sindhuja Pogaku

I2MAPREDUCE: DATA MINING FOR BIG DATA , Vishnu Vardhan Reddy Sherikar

COMPARING AND IMPROVING FACIAL RECOGNITION METHOD , Brandon Luis Sierra

NATURAL LANGUAGE PROCESSING BASED GENERATOR OF TESTING INSTRUMENTS , Qianqian Wang

AUTOMATIC GENERATION OF WEB APPLICATIONS AND MANAGEMENT SYSTEM , Yu Zhou

Theses/Projects/Dissertations from 2016 2016

CLOTH - MODELING, DEFORMATION, AND SIMULATION , Thanh Ho

CoyoteLab - Linux Containers for Educational Use , Michael D. Korcha

PACKET FILTER APPROACH TO DETECT DENIAL OF SERVICE ATTACKS , Essa Yahya M Muharish

DATA MINING: TRACKING SUSPICIOUS LOGGING ACTIVITY USING HADOOP , Bir Apaar Singh Sodhi

Theses/Projects/Dissertations from 2015 2015

APPLY DATA CLUSTERING TO GENE EXPRESSION DATA , Abdullah Jameel Abualhamayl Mr.

Density Based Data Clustering , Rayan Albarakati

Developing Java Programs on Android Mobile Phones Using Speech Recognition , Santhrushna Gande

THE DESIGN AND IMPLEMENTATION OF AN ADAPTIVE CHESS GAME , Mehdi Peiravi

CALIFORNIA STATE UNIVERSITY SAN BERNARDINO WiN GPS , Francisco A. Ron

ESTIMATION ON GIBBS ENTROPY FOR AN ENSEMBLE , Lekhya Sai Sake

A WEB-BASED TEMPERATURE MONITORING SYSTEM FOR THE COLLEGE OF ARTS AND LETTERS , Rigoberto Solorio

ANTICS: A CROSS-PLATFORM MOBILE GAME , Gerren D. Willis

Theses/Projects/Dissertations from 2014 2014

Introducing Non-Determinism to the Parallel C Compiler , Rowen Concepcion

THE I: A CLIENT-BASED POINT-AND-CLICK PUZZLE GAME , Aldo Lewis

Interactive Student Planner Application , NII TETTEH TACKIE YARBOI

ANDROID MOBILE APPLICATION FOR CREST COMMUNITY CHURCH IN RIVERSIDE , Ran Wei

Proton Computed Tomography: Matrix Data Generation Through General Purpose Graphics Processing Unit Reconstruction , micah witt

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List Of Unique Thesis Topic Ideas For Computer Engineering Students

Computer engineering students have to be fluent in more languages than just computer code. They have to be able to explain in writing some of the applications that can be used, and do this in words that a common person can understand. There is more than just computer jargon which needs to be found in the paragraphs. Thesis topics are what graduate students and honors students have to be thinking about all the time. The various topics can offer suggestions on how to best apply in the business world what is learned in the classroom.

  • Establishing a virtual classroom.
  • Hunting down computer viruses in a systematic way.
  • Creating a biometrics attendance system for a manufacturing company.
  • Creating email security systems.
  • A billing system for a small retail outlet.
  • Inventory management systems for seasonal products.
  • A management system for a fleet of company cars.
  • A call center contact tracking system.
  • A property and casualty insurance management system.
  • Trading algorithms for public utilities stock.
  • Tracking endangered species in a given state.
  • Currency exchange management systems.
  • Automatic security systems for large apartment complexes.
  • Attendance systems for students in remote locations.
  • Upgrading bank deposit systems.
  • Security systems for ATM machines.
  • Applications for effective Web mining.
  • Transportation route optimizing systems.
  • Hotel data security for reservations.
  • Best practices for training and development in web security.
  • Workforce management systems for multi-shift companies.
  • Information system for liberal arts students.
  • Records keeping systems for dog licenses.

All of these ideas are going to require the standard structure for a thesis. There are other topics that can be considered and these have to be as original as possible. Advisors rarely approve something that is too general a topic or is not interesting at all. Computer engineering students also have to keep in mind their future career.

The thesis can be thought of as a very strategic tool in the development of a career in computer engineering. A reason to find the most unique topic possible is to develop a niche for oneself. The work involved can gradually turn you into an expert in a given field. It is going to be important not just for future academic work, but computer management and consulting as well. The future career is something and ambitious computer engineering student must always keep in mind. Thinking about the topics and settling on a totally unique concept holds a great deal of potential for short-term and long-term success.

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Digital Commons @ USF > College of Engineering > Computer Science and Engineering > Theses and Dissertations

Computer Science and Engineering Theses and Dissertations

Theses/dissertations from 2023 2023.

Refining the Machine Learning Pipeline for US-based Public Transit Systems , Jennifer Adorno

Insect Classification and Explainability from Image Data via Deep Learning Techniques , Tanvir Hossain Bhuiyan

Brain-Inspired Spatio-Temporal Learning with Application to Robotics , Thiago André Ferreira Medeiros

Evaluating Methods for Improving DNN Robustness Against Adversarial Attacks , Laureano Griffin

Analyzing Multi-Robot Leader-Follower Formations in Obstacle-Laden Environments , Zachary J. Hinnen

Secure Lightweight Cryptographic Hardware Constructions for Deeply Embedded Systems , Jasmin Kaur

A Psychometric Analysis of Natural Language Inference Using Transformer Language Models , Antonio Laverghetta Jr.

Graph Analysis on Social Networks , Shen Lu

Deep Learning-based Automatic Stereology for High- and Low-magnification Images , Hunter Morera

Deciphering Trends and Tactics: Data-driven Techniques for Forecasting Information Spread and Detecting Coordinated Campaigns in Social Media , Kin Wai Ng Lugo

Automated Approaches to Enable Innovative Civic Applications from Citizen Generated Imagery , Hye Seon Yi

Theses/Dissertations from 2022 2022

Towards High Performing and Reliable Deep Convolutional Neural Network Models for Typically Limited Medical Imaging Datasets , Kaoutar Ben Ahmed

Task Progress Assessment and Monitoring Using Self-Supervised Learning , Sainath Reddy Bobbala

Towards More Task-Generalized and Explainable AI Through Psychometrics , Alec Braynen

A Multiple Input Multiple Output Framework for the Automatic Optical Fractionator-based Cell Counting in Z-Stacks Using Deep Learning , Palak Dave

On the Reliability of Wearable Sensors for Assessing Movement Disorder-Related Gait Quality and Imbalance: A Case Study of Multiple Sclerosis , Steven Díaz Hernández

Securing Critical Cyber Infrastructures and Functionalities via Machine Learning Empowered Strategies , Tao Hou

Social Media Time Series Forecasting and User-Level Activity Prediction with Gradient Boosting, Deep Learning, and Data Augmentation , Fred Mubang

A Study of Deep Learning Silhouette Extractors for Gait Recognition , Sneha Oladhri

Analyzing Decision-making in Robot Soccer for Attacking Behaviors , Justin Rodney

Generative Spatio-Temporal and Multimodal Analysis of Neonatal Pain , Md Sirajus Salekin

Secure Hardware Constructions for Fault Detection of Lattice-based Post-quantum Cryptosystems , Ausmita Sarker

Adaptive Multi-scale Place Cell Representations and Replay for Spatial Navigation and Learning in Autonomous Robots , Pablo Scleidorovich

Predicting the Number of Objects in a Robotic Grasp , Utkarsh Tamrakar

Humanoid Robot Motion Control for Ramps and Stairs , Tommy Truong

Preventing Variadic Function Attacks Through Argument Width Counting , Brennan Ward

Theses/Dissertations from 2021 2021

Knowledge Extraction and Inference Based on Visual Understanding of Cooking Contents , Ahmad Babaeian Babaeian Jelodar

Efficient Post-Quantum and Compact Cryptographic Constructions for the Internet of Things , Rouzbeh Behnia

Efficient Hardware Constructions for Error Detection of Post-Quantum Cryptographic Schemes , Alvaro Cintas Canto

Using Hyper-Dimensional Spanning Trees to Improve Structure Preservation During Dimensionality Reduction , Curtis Thomas Davis

Design, Deployment, and Validation of Computer Vision Techniques for Societal Scale Applications , Arup Kanti Dey

AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing , Hamza Elhamdadi

Automatic Detection of Vehicles in Satellite Images for Economic Monitoring , Cole Hill

Analysis of Contextual Emotions Using Multimodal Data , Saurabh Hinduja

Data-driven Studies on Social Networks: Privacy and Simulation , Yasanka Sameera Horawalavithana

Automated Identification of Stages in Gonotrophic Cycle of Mosquitoes Using Computer Vision Techniques , Sherzod Kariev

Exploring the Use of Neural Transformers for Psycholinguistics , Antonio Laverghetta Jr.

Secure VLSI Hardware Design Against Intellectual Property (IP) Theft and Cryptographic Vulnerabilities , Matthew Dean Lewandowski

Turkic Interlingua: A Case Study of Machine Translation in Low-resource Languages , Jamshidbek Mirzakhalov

Automated Wound Segmentation and Dimension Measurement Using RGB-D Image , Chih-Yun Pai

Constructing Frameworks for Task-Optimized Visualizations , Ghulam Jilani Abdul Rahim Quadri

Trilateration-Based Localization in Known Environments with Object Detection , Valeria M. Salas Pacheco

Recognizing Patterns from Vital Signs Using Spectrograms , Sidharth Srivatsav Sribhashyam

Recognizing Emotion in the Wild Using Multimodal Data , Shivam Srivastava

A Modular Framework for Multi-Rotor Unmanned Aerial Vehicles for Military Operations , Dante Tezza

Human-centered Cybersecurity Research — Anthropological Findings from Two Longitudinal Studies , Anwesh Tuladhar

Learning State-Dependent Sensor Measurement Models To Improve Robot Localization Accuracy , Troi André Williams

Human-centric Cybersecurity Research: From Trapping the Bad Guys to Helping the Good Ones , Armin Ziaie Tabari

Theses/Dissertations from 2020 2020

Classifying Emotions with EEG and Peripheral Physiological Data Using 1D Convolutional Long Short-Term Memory Neural Network , Rupal Agarwal

Keyless Anti-Jamming Communication via Randomized DSSS , Ahmad Alagil

Active Deep Learning Method to Automate Unbiased Stereology Cell Counting , Saeed Alahmari

Composition of Atomic-Obligation Security Policies , Yan Cao Albright

Action Recognition Using the Motion Taxonomy , Maxat Alibayev

Sentiment Analysis in Peer Review , Zachariah J. Beasley

Spatial Heterogeneity Utilization in CT Images for Lung Nodule Classication , Dmitrii Cherezov

Feature Selection Via Random Subsets Of Uncorrelated Features , Long Kim Dang

Unifying Security Policy Enforcement: Theory and Practice , Shamaria Engram

PsiDB: A Framework for Batched Query Processing and Optimization , Mehrad Eslami

Composition of Atomic-Obligation Security Policies , Danielle Ferguson

Algorithms To Profile Driver Behavior From Zero-permission Embedded Sensors , Bharti Goel

The Efficiency and Accuracy of YOLO for Neonate Face Detection in the Clinical Setting , Jacqueline Hausmann

Beyond the Hype: Challenges of Neural Networks as Applied to Social Networks , Anthony Hernandez

Privacy-Preserving and Functional Information Systems , Thang Hoang

Managing Off-Grid Power Use for Solar Fueled Residences with Smart Appliances, Prices-to-Devices and IoT , Donnelle L. January

Novel Bit-Sliced In-Memory Computing Based VLSI Architecture for Fast Sobel Edge Detection in IoT Edge Devices , Rajeev Joshi

Edge Computing for Deep Learning-Based Distributed Real-time Object Detection on IoT Constrained Platforms at Low Frame Rate , Lakshmikavya Kalyanam

Establishing Topological Data Analysis: A Comparison of Visualization Techniques , Tanmay J. Kotha

Machine Learning for the Internet of Things: Applications, Implementation, and Security , Vishalini Laguduva Ramnath

System Support of Concurrent Database Query Processing on a GPU , Hao Li

Deep Learning Predictive Modeling with Data Challenges (Small, Big, or Imbalanced) , Renhao Liu

Countermeasures Against Various Network Attacks Using Machine Learning Methods , Yi Li

Towards Safe Power Oversubscription and Energy Efficiency of Data Centers , Sulav Malla

Design of Support Measures for Counting Frequent Patterns in Graphs , Jinghan Meng

Automating the Classification of Mosquito Specimens Using Image Processing Techniques , Mona Minakshi

Models of Secure Software Enforcement and Development , Hernan M. Palombo

Functional Object-Oriented Network: A Knowledge Representation for Service Robotics , David Andrés Paulius Ramos

Lung Nodule Malignancy Prediction from Computed Tomography Images Using Deep Learning , Rahul Paul

Algorithms and Framework for Computing 2-body Statistics on Graphics Processing Units , Napath Pitaksirianan

Efficient Viewshed Computation Algorithms On GPUs and CPUs , Faisal F. Qarah

Relational Joins on GPUs for In-Memory Database Query Processing , Ran Rui

Micro-architectural Countermeasures for Control Flow and Misspeculation Based Software Attacks , Love Kumar Sah

Efficient Forward-Secure and Compact Signatures for the Internet of Things (IoT) , Efe Ulas Akay Seyitoglu

Detecting Symptoms of Chronic Obstructive Pulmonary Disease and Congestive Heart Failure via Cough and Wheezing Sounds Using Smart-Phones and Machine Learning , Anthony Windmon

Toward Culturally Relevant Emotion Detection Using Physiological Signals , Khadija Zanna

Theses/Dissertations from 2019 2019

Beyond Labels and Captions: Contextualizing Grounded Semantics for Explainable Visual Interpretation , Sathyanarayanan Narasimhan Aakur

Empirical Analysis of a Cybersecurity Scoring System , Jaleel Ahmed

Phenomena of Social Dynamics in Online Games , Essa Alhazmi

A Machine Learning Approach to Predicting Community Engagement on Social Media During Disasters , Adel Alshehri

Interactive Fitness Domains in Competitive Coevolutionary Algorithm , ATM Golam Bari

Measuring Influence Across Social Media Platforms: Empirical Analysis Using Symbolic Transfer Entropy , Abhishek Bhattacharjee

A Communication-Centric Framework for Post-Silicon System-on-chip Integration Debug , Yuting Cao

Authentication and SQL-Injection Prevention Techniques in Web Applications , Cagri Cetin

Multimodal Emotion Recognition Using 3D Facial Landmarks, Action Units, and Physiological Data , Diego Fabiano

Robotic Motion Generation by Using Spatial-Temporal Patterns from Human Demonstrations , Yongqiang Huang

A GPU-Based Framework for Parallel Spatial Indexing and Query Processing , Zhila Nouri Lewis

A Flexible, Natural Deduction, Automated Reasoner for Quick Deployment of Non-Classical Logic , Trisha Mukhopadhyay

An Efficient Run-time CFI Check for Embedded Processors to Detect and Prevent Control Flow Based Attacks , Srivarsha Polnati

Force Feedback and Intelligent Workspace Selection for Legged Locomotion Over Uneven Terrain , John Rippetoe

Detecting Digitally Forged Faces in Online Videos , Neilesh Sambhu

Malicious Manipulation in Service-Oriented Network, Software, and Mobile Systems: Threats and Defenses , Dakun Shen

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35 Design Engineering Project Topics for Computer Engineering

Design Engineering Project Topics for Computer Engineering

Imagine being the architect of the digital world, where your ideas transform into real solutions. That’s the essence of design engineering in computer science. It’s a dynamic field that empowers computer engineering students to craft innovative answers to real-world challenges. These projects aren’t just assignments; they’re the launchpad for your career.

But, the first step to this exciting journey is crucial: choosing the perfect project topic. Your choice will shape your learning and future opportunities. In this blog, we’ll dive into the world of design engineering, offering insights into what it’s all about. We’ll also guide you through the process of selecting the ideal project topic. And, to spark your imagination, we’ve curated a list of design engineering project topics for computer engineering students. Let’s embark on this creative adventure together!

What is Design Engineering?

Table of Contents

Design engineering is a multidisciplinary field that combines principles from various engineering disciplines to design and develop systems, products, or solutions. In the context of computer engineering, design engineering focuses on creating hardware and software solutions that address specific challenges or needs. These projects typically involve problem identification, conceptualization, design, prototyping, testing, and implementation.

Design engineering projects in computer engineering can range from developing new software applications, designing innovative hardware components, optimizing existing systems, or even tackling broader challenges like sustainable technology or healthcare solutions.

How Do I Choose My Design Engineering Project Topics?

Choosing the right design engineering project topics for computer engineering students is a crucial step in your design engineering journey. Here are some steps to help you make an informed decision:

1. Identify Your Interests

Start by considering your interests and passions within the field of computer engineering. Do you enjoy programming, hardware design, networking, or robotics? Your project should align with your interests to keep you motivated throughout the process.

2. Assess Your Skills

Take stock of your technical skills and knowledge. Are you more proficient in software development, electronics, or both? Your project should challenge you but also be achievable based on your current skill set.

3. Seek Guidance

Consult with professors, mentors, or professionals in the field. They can provide valuable insights, suggest project ideas, and help you refine your project proposal.

4. Define a Problem

Identify a real-world problem or challenge that your project can address. Your project should have a clear purpose and potential impact.

5. Consider Resources

Think about the resources you’ll need for your project. Do you have access to the necessary equipment, software, or support? Ensure your project is feasible within your constraints.

6. Research Existing Projects

Review existing design engineering projects to see what has been done before. This can help you identify gaps or areas where you can innovate.

Innovative Design Engineering Project Topics for Computer Engineering

Here is a diverse list of design engineering project topics for computer engineering students. These topics cover a wide range of subfields and challenges within computer engineering:

Hardware Projects

Let’s dive into the design engineering project topics for computer engineering students in hardware:

1. Smart Home Automation System: Design a system that allows users to control and monitor their home appliances remotely.

2. Gesture Recognition Device: Create a device that can recognize and interpret hand gestures for various applications.

3. Wearable Health Monitor: Develop a wearable device that tracks vital signs and sends data to a smartphone app.

4. IoT-based Agriculture Solution: Design an IoT system to optimize farming practices, including soil moisture monitoring and automated irrigation.

5. Low-Cost 3D Printer: Build an affordable 3D printer for educational or prototyping purposes.

6. Robotics Arm: Create a robotic arm with various applications, such as manufacturing or healthcare.

Software Projects

Discover some design engineering project topics for computer engineering students in software:

1. Machine Learning for Predictive Maintenance: Develop a predictive maintenance system using machine learning to reduce equipment downtime.

2. Natural Language Processing Chatbot: Build a chatbot that can understand and respond to natural language queries.

3. Virtual Reality (VR) Game: Create an immersive VR game or simulation for entertainment or educational purposes.

4. Mobile App for Disaster Management: Design a mobile app that provides real-time information and assistance during disasters.

5. Blockchain-Based Secure Voting System: Develop a secure and transparent electronic voting system using blockchain technology.

6. Traffic Management System: Build a smart traffic management system that optimizes traffic flow and reduces congestion.

Networking Projects

Now, let’s explore some easy design engineering project topics for computer engineering students in networking:

1. 5G Network Optimization: Optimize 5G network performance and reliability in a specific area.

2. IoT-Based Energy Monitoring: Create an IoT solution to monitor and control energy consumption in homes or businesses.

3. Network Security Analyzer: Develop a tool that can detect and mitigate network security threats in real time.

4. Software-defined networking (SDN) Controller: Build an SDN controller for efficient network management and customization.

5. VoIP (Voice over Internet Protocol) System: Design a VoIP system for voice communication over the Internet. incorporating the seamless integration of USA virtual phone numbers . These virtual phone numbers not only enhance accessibility but also provide a flexible solution for users to make and receive calls from different geographical locations, contributing to efficient communication infrastructure.

6. Cloud-Based Network Traffic Analyzer: Develop a cloud-based solution that captures and analyzes network traffic data for performance optimization.

Embedded Systems Projects

Here are some design engineering project topics for computer engineering students in embedded systems:

1. Smart Traffic Lights: Create an intelligent traffic light system that adapts to traffic flow.

2. Automated Plant Watering System: Build a system that automatically waters plants based on soil moisture levels.

3. Home Energy Management System: Design a system that optimizes energy usage in homes using IoT sensors.

4. Smart Mirror: Develop a mirror that displays useful information, such as weather updates and calendar events.

5. IoT-Based Health Monitoring Wearable: Create a wearable device for continuous health monitoring and data collection.

6. Autonomous Robotic Vacuum Cleaner: Design and develop an autonomous robotic vacuum cleaner that can navigate and clean rooms efficiently while avoiding obstacles.

Cybersecurity Projects

Discover some design engineering project topics for computer engineering students in cybersecurity:

1. Network Intrusion Detection System: Build an intrusion detection system to identify and mitigate network attacks.

2. Ransomware Protection Tool: Develop a tool to protect against ransomware attacks and data encryption.

3. Password Manager App: Create a secure password manager app for users to store and manage their passwords.

4. Biometric Authentication System: Design a biometric-based authentication system for enhanced security.

5. Secure File Encryption: Develop a secure file encryption and decryption tool.

6. IoT Security Framework: Develop a comprehensive security framework for Internet of Things (IoT) devices and networks.

Artificial Intelligence (AI) Projects

Let’s dive into the design engineering project topics for computer engineering students in AI.

1. AI-Based Personal Assistant: Create a virtual personal assistant powered by AI for tasks like scheduling and information retrieval.

2. Image Recognition System: Develop an image recognition system that can identify objects in images or videos.

3. AI-Based Music Generator: Build an AI-driven music composition tool.

4. Healthcare Diagnosis AI: Design an AI system for diagnosing medical conditions from patient data.

5. Autonomous Drone: Create an autonomous drone for tasks like surveillance or delivery.

6. AI-Powered Language Translation: Design an AI-driven language translation system capable of translating text or speech between multiple languages with high accuracy and efficiency. 

What Determines the Success of an Engineering Design Project?

The success of an engineering design project hinges on several key factors:

Clear Objectives

Success begins with well-defined project objectives. Understanding what needs to be achieved and setting clear goals is the foundation for the entire project.

Effective Planning

Comprehensive project planning, including resource allocation, timeline management, and risk assessment, is essential. A well-structured plan serves as a roadmap for the project’s execution.

Team Collaboration

Effective communication and collaboration among team members are critical. A cohesive team that works harmoniously can address challenges more efficiently.

Innovation and Creativity

Successful projects often involve innovative solutions that address the problem at hand more efficiently or elegantly. Creativity in design can set a project apart.

Adaptability

Flexibility in response to unexpected issues or changes in project requirements is vital. The ability to adapt and make informed decisions in real time is a hallmark of successful engineering projects.

Quality Control

Ensuring that the final product or solution meets high-quality standards is non-negotiable. Rigorous testing and quality control processes are essential.

Client Satisfaction

Ultimately, the success of a project is often determined by whether it meets or exceeds client expectations. Regular feedback and client engagement throughout the project are crucial.

Cost and Resource Management

Staying within budget and efficiently managing resources are essential for project success. Cost overruns can lead to project delays and dissatisfaction.

Timely Delivery

Meeting project deadlines is a key success factor. Delays can result in increased costs and a negative impact on stakeholders.

Documentation and Knowledge Transfer

Proper documentation of the project’s design, implementation, and maintenance processes ensures that the project’s success is sustainable over time. Knowledge transfer to relevant parties is crucial for long-term success.

Choosing the right design engineering project topics for computer engineering students is crucial for your academic and professional growth. It should align with your interests and skills while addressing a real-world problem or challenge. The list of project ideas provided here covers a wide spectrum of computer engineering subfields, from hardware and software development to networking, cybersecurity, embedded systems, and artificial intelligence . Remember to consult with mentors, conduct thorough research, and consider available resources before finalizing your project topic. With the right project, you can gain valuable experience and contribute to the advancement of computer engineering technology.

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Home > Engineering > ECE > Electrical & Computer Engineering Masters Theses Collection

Electrical and Computer Engineering

Electrical & Computer Engineering Masters Theses Collection

Theses from 2023 2023.

Fingerprinting for Chiplet Architectures Using Power Distribution Network Transients , Matthew G. Burke, Electrical & Computer Engineering

Design and Fabrication of a Trapped Ion Quantum Computing Testbed , Christopher A. Caron, Electrical & Computer Engineering

Analog Cancellation of a Known Remote Interference: Hardware Realization and Analysis , James M. Doty, Electrical & Computer Engineering

Electrothermal Properties of 2D Materials in Device Applications , Samantha L. Klein, Electrical & Computer Engineering

Ablation Study on Deeplabv3+ for Semantic Segmentation , Bowen Lei, Electrical & Computer Engineering

A Composability-Based Transformer Pruning Framework , Yuping Lin, Electrical & Computer Engineering

A Model Extraction Attack on Deep Neural Networks Running on GPUs , Jonah G. O'Brien Weiss, Electrical & Computer Engineering

Heterogeneous IoT Network Architecture Design for Age of Information Minimization , Xiaohao Xia, Electrical & Computer Engineering

Theses from 2022 2022

Theory and Analysis of Backprojection Processing for Interferometric SAR , Marc Closa Tarres, Electrical & Computer Engineering

Unpaired Skeleton-to-Photo Translation for Sketch-to-Photo Synthesis , Yuanzhe Gu, Electrical & Computer Engineering

Integration of Digital Signal Processing Block in SymbiFlow FPGA Toolchain for Artix-7 Devices , Andrew T. Hartnett, Electrical & Computer Engineering

Planar Ultra-Wideband Modular Antenna (PUMA) Arrays for High-Volume Manufacturing on Organic Laminates and BGA Interfaces , James R. LaCroix, Electrical & Computer Engineering

Planar Transmission-Line Metamaterials on an Irregular Grid , Tina E. Maurer, Electrical & Computer Engineering

Formally Verifiable Synthesis Flow In FPGAs , Anurag V. Muttur, Electrical & Computer Engineering

Theses from 2021 2021

Graph-Algorithm Based Verification on Network Configuration Robustness , Zibin Chen, Electrical & Computer Engineering

A Cloud Infrastructure for Large Scale Health Monitoring in Older Adult Care Facilities , Uchechukwu Gabriel David, Electrical & Computer Engineering

Internet Infrastructures for Large Scale Emulation with Efficient HW/SW Co-design , Aiden K. Gula, Electrical & Computer Engineering

Mtemp: An Ambient Temperature Estimation Method Using Acoustic Signal on Mobile Devices , Hao Guo, Electrical & Computer Engineering

BENCHMARKING SMALL-DATASET STRUCTURE-ACTIVITY-RELATIONSHIP MODELS FOR PREDICTION OF WNT SIGNALING INHIBITION , Mahtab Kokabi, Electrical & Computer Engineering

ACTION : Adaptive Cache Block Migration in Distributed Cache Architectures , Chandra Sekhar Mummidi, Electrical & Computer Engineering

Modeling and Characterization of Optical Metasurfaces , Mahsa Torfeh, Electrical & Computer Engineering

TickNet: A Lightweight Deep Classifier for Tick Recognition , Li Wang, Electrical & Computer Engineering

Lecture Video Transformation through An Intelligent Analysis and Post-processing System , Xi Wang, Electrical & Computer Engineering

Correcting For Terrain Interference, Attenuation, and System Bias for a Dual Polarimetric, X-Band Radar , Casey Wolsieffer, Electrical & Computer Engineering

Theses from 2020 2020

Numerical Simulation of Thermoelectric Transport in Bulk and Nanostructured SiSn Alloys , Venkatakrishna Dusetty, Electrical & Computer Engineering

Deep Reinforcement Learning For Distributed Fog Network Probing , Xiaoding Guan, Electrical & Computer Engineering

COMPRESSIVE PARAMETER ESTIMATION VIA APPROXIMATE MESSAGE PASSING , Shermin Hamzehei, Electrical & Computer Engineering

Metric Learning via Linear Embeddings for Human Motion Recognition , ByoungDoo Kong, Electrical & Computer Engineering

Compound Effects of Clock and Voltage Based Power Side-Channel Countermeasures , Jacqueline Lagasse, Electrical & Computer Engineering

Network Virtualization and Emulation using Docker, OpenvSwitch and Mininet-based Link Emulation , Narendra Prabhu, Electrical & Computer Engineering

Thermal Transport Modeling Of Semiconductor Materials From First Principles , Aliya Qureshi, Electrical & Computer Engineering

CROSSTALK BASED SIDE CHANNEL ATTACKS IN FPGAs , Chethan Ramesh, Electrical & Computer Engineering

Accelerating RSA Public Key Cryptography via Hardware Acceleration , Pavithra Ramesh, Electrical & Computer Engineering

Real-Time TDDFT-Based Filtered Spectroscopy , Ivan Williams, Electrical & Computer Engineering

Perception System: Object and Landmark Detection for Visually Impaired Users , Chenguang Zhang, Electrical & Computer Engineering

Theses from 2019 2019

An Empirical Analysis of Network Traffic: Device Profiling and Classification , Mythili Vishalini Anbazhagan, Electrical & Computer Engineering

Pre-Travel Training And Real-Time Guidance System For People With Disabilities In Indoor Environments , Binru Cao, Electrical & Computer Engineering

Energy Efficiency of Computation in All-spin Logic: Projections and Fundamental Limits , Zongya Chen, Electrical & Computer Engineering

Improving Resilience of Communication in Information Dissemination for Time-Critical Applications , Rajvardhan Somraj Deshmukh, Electrical & Computer Engineering

InSAR Simulations for SWOT and Dual Frequency Processing for Topographic Measurements , Gerard Masalias Huguet, Electrical & Computer Engineering

A Study on Controlling Power Supply Ramp-Up Time in SRAM PUFs , Harshavardhan Ramanna, Electrical & Computer Engineering

The UMass Experimental X-Band Radar (UMAXX): An Upgrade of the CASA MA-1 to Support Cross-Polarization Measurements , Jezabel Vilardell Sanchez, Electrical & Computer Engineering

A Video-Based System for Emergency Preparedness and Recovery , Juechen Yin, Electrical & Computer Engineering

Theses from 2018 2018

Phonon Transport at Boundaries and Interfaces in Two-Dimensional Materials , Cameron Foss, Electrical & Computer Engineering

SkinnySensor: Enabling Battery-Less Wearable Sensors Via Intrabody Power Transfer , Neev Kiran, Electrical & Computer Engineering

Immersive Pre-travel Training Application for Seniors and People with Disabilities , Yang Li, Electrical & Computer Engineering

Analog Computing using 1T1R Crossbar Arrays , Yunning Li, Electrical & Computer Engineering

On-Chip Communication and Security in FPGAs , Shivukumar Basanagouda Patil, Electrical & Computer Engineering

CROWDSOURCING BASED MICRO NAVIGATION SYSTEM FOR VISUALLY IMPAIRED , Quan Shi, Electrical & Computer Engineering

AN EVALUATION OF SDN AND NFV SUPPORT FOR PARALLEL, ALTERNATIVE PROTOCOL STACK OPERATIONS IN FUTURE INTERNETS , Bhushan Suresh, Electrical & Computer Engineering

Applications Of Physical Unclonable Functions on ASICS and FPGAs , Mohammad Usmani, Electrical & Computer Engineering

Improvements to the UMASS S-Band FM-CW Vertical Wind Profiling Radar: System Performance and Data Analysis. , Joseph Waldinger, Electrical & Computer Engineering

Theses from 2017 2017

AutoPlug: An Automated Metadata Service for Smart Outlets , Lurdh Pradeep Reddy Ambati, Electrical & Computer Engineering

SkyNet: Memristor-based 3D IC for Artificial Neural Networks , Sachin Bhat, Electrical & Computer Engineering

Navigation Instruction Validation Tool and Indoor Wayfinding Training System for People with Disabilities , Linlin Ding, Electrical & Computer Engineering

Energy Efficient Loop Unrolling for Low-Cost FPGAs , Naveen Kumar Dumpala, Electrical & Computer Engineering

Effective Denial of Service Attack on Congestion Aware Adaptive Network on Chip , Vijaya Deepak Kadirvel, Electrical & Computer Engineering

VIRTUALIZATION OF CLOSED-LOOP SENSOR NETWORKS , Priyanka Dattatri Kedalagudde, Electrical & Computer Engineering

The Impact of Quantum Size Effects on Thermoelectric Performance in Semiconductor Nanostructures , Adithya Kommini, Electrical & Computer Engineering

MAGNETO-ELECTRIC APPROXIMATE COMPUTATIONAL FRAMEWORK FOR BAYESIAN INFERENCE , Sourabh Kulkarni, Electrical & Computer Engineering

Time Domain SAR Processing with GPUs for Airborne Platforms , Dustin Lagoy, Electrical & Computer Engineering

Query on Knowledge Graphs with Hierarchical Relationships , Kaihua Liu, Electrical & Computer Engineering

HIGH PERFORMANCE SILVER DIFFUSIVE MEMRISTORS FOR FUTURE COMPUTING , Rivu Midya, Electrical & Computer Engineering

Achieving Perfect Location Privacy in Wireless Devices Using Anonymization , Zarrin Montazeri, Electrical & Computer Engineering

KaSI: a Ka-band and S-band Cross-track Interferometer , Gerard Ruiz Carregal, Electrical & Computer Engineering

Analyzing Spark Performance on Spot Instances , Jiannan Tian, Electrical & Computer Engineering

Indoor Navigation For The Blind And Visually Impaired: Validation And Training Methodology Using Virtual Reality , Sili Wang, Electrical & Computer Engineering

Efficient Scaling of a Web Proxy Cluster , Hao Zhang, Electrical & Computer Engineering

ORACLE GUIDED INCREMENTAL SAT SOLVING TO REVERSE ENGINEER CAMOUFLAGED CIRCUITS , Xiangyu Zhang, Electrical & Computer Engineering

Theses from 2016 2016

Seamless Application Delivery Using Software Defined Exchanges , Divyashri Bhat, Electrical & Computer Engineering

PROCESSOR TEMPERATURE AND RELIABILITY ESTIMATION USING ACTIVITY COUNTERS , Mayank Chhablani, Electrical & Computer Engineering

PARQ: A MEMORY-EFFICIENT APPROACH FOR QUERY-LEVEL PARALLELISM , Qianqian Gao, Electrical & Computer Engineering

Accelerated Iterative Algorithms with Asynchronous Accumulative Updates on a Heterogeneous Cluster , Sandesh Gubbi Virupaksha, Electrical & Computer Engineering

Improving Efficiency of Thermoelectric Devices Made of Si-Ge, Si-Sn, Ge-Sn, and Si-Ge-Sn Binary and Ternary Alloys , Seyedeh Nazanin Khatami, Electrical & Computer Engineering

6:1 PUMA Arrays: Designs and Finite Array Effects , Michael Lee, Electrical & Computer Engineering

Protecting Controllers against Denial-of-Service Attacks in Software-Defined Networks , Jingrui Li, Electrical & Computer Engineering

INFRASTRUCTURE-FREE SECURE PAIRING OF MOBILE DEVICES , Chunqiu Liu, Electrical & Computer Engineering

Extrinsic Effects on Heat and Electron Transport In Two-Dimensional Van-Der Waals Materials- A Boltzmann Transport Study , Arnab K. Majee, Electrical & Computer Engineering

SpotLight: An Information Service for the Cloud , Xue Ouyang, Electrical & Computer Engineering

Localization, Visualization And Evacuation Guidance System In Emergency Situations , Jingyan Tang, Electrical & Computer Engineering

Variation Aware Placement for Efficient Key Generation using Physically Unclonable Functions in Reconfigurable Systems , Shrikant S. Vyas, Electrical & Computer Engineering

EVALUATING FEATURES FOR BROAD SPECIES BASED CLASSIFICATION OF BIRD OBSERVATIONS USING DUAL-POLARIZED DOPPLER WEATHER RADAR , Sheila Werth, Electrical & Computer Engineering

Theses from 2015 2015

Quality Factor of Horizontal Wire Dipole Antennas near Planar Conductor or Dielectric Interface , Adebayo Gabriel Adeyemi, Electrical & Computer Engineering

Evaluation of Two-Dimensional Codes for Digital Information Security in Physical Documents , Shuai Chen, Electrical & Computer Engineering

Design and Implementation of a High Performance Network Processor with Dynamic Workload Management , Padmaja Duggisetty, Electrical & Computer Engineering

Wavelet-Based Non-Homogeneous Hidden Markov Chain Model For Hyperspectral Signature Classification , Siwei Feng, Electrical & Computer Engineering

DEVELOPMENT OF INFRARED AND TERAHERTZ BOLOMETERS BASED ON PALLADIUM AND CARBON NANOTUBES USING ROLL TO ROLL PROCESS , Amulya Gullapalli, Electrical & Computer Engineering

Development of Prototypes of a Portable Road Weather Information System , Meha Kainth, Electrical & Computer Engineering

ADACORE: Achieving Energy Efficiency via Adaptive Core Morphing at Runtime , Nithesh Kurella, Electrical & Computer Engineering

Architecting SkyBridge-CMOS , Mingyu Li, Electrical & Computer Engineering

Function Verification of Combinational Arithmetic Circuits , Duo Liu, Electrical & Computer Engineering

ENERGY EFFICIENCY EXPLORATION OF COARSE-GRAIN RECONFIGURABLE ARCHITECTURE WITH EMERGING NONVOLATILE MEMORY , Xiaobin Liu, Electrical & Computer Engineering

Development of a Layout-Level Hardware Obfuscation Tool to Counter Reverse Engineering , Shweta Malik, Electrical & Computer Engineering

Energy Agile Cluster Communication , Muhammad Zain Mustafa, Electrical & Computer Engineering

Architecting NP-Dynamic Skybridge , Jiajun Shi, Electrical & Computer Engineering

Scalable and Vision Free User Interface Approaches for Indoor Navigation Systems for the Visually Impaired , Yang Tao, Electrical & Computer Engineering

Hardware Monitors for Secure Processing in Embedded Operating Systems , Tedy Mammen Thomas, Electrical & Computer Engineering

Design and Implementation of Digital Information Security for Physical Documents , Pengcheng Wang, Electrical & Computer Engineering

Reliabilibity Aware Thermal Management of Real-time Multi-core Systems , Shikang Xu, Electrical & Computer Engineering

Indoor And Outdoor Real Time Information Collection in Disaster Scenario , Dongyi Yang, Electrical & Computer Engineering

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Thesis Ideas for Computer Engineering

In the computer engineering domain, various concepts are emerging in recent times that assist in conducting research. We stay updated every day on changes in technologies sew identify the correct research gaps and share with scholar proper ideas and trending topics for all areas of computer engineering. The following are some thesis topics and plans relevant to computer engineering field that we consider:

  • Machine Learning and Artificial Intelligence: In machine learning and AI, we explore novel techniques or approaches. This can be based on building fresh frameworks for particular works, enhancing previous methods, or implementing AI to new regions of interest.
  • Internet of Things (IoT) and Smart Devices: Here, our work is to concentrate on the combination and interaction of IoT devices. Topics related to this domain can incorporate energy performance in smart devices, improving safety in IoT, or the building of novel kinds of IoT approaches.
  • Computer Vision and Image Processing: Specifically for object identification, image recognition, or 3D modeling, we aim to enhance or construct novel techniques.
  • Robotics and Automation: Our project concentrates on the pattern and application of robotic frameworks and that comprise various topics such as drone innovations, self-driving vehicles, or robotic process automation.
  • Networks and Distributed Systems: In networking, we intend to investigate latest subjects, including the construction of more robust protocols, enhancing network safety, or advancements in distributed computing.
  • Cybersecurity and Cryptography: , In the cybersecurity field, our project researches innovative approaches such as building more efficient encryption techniques or novel tactics for preventing cyber assaults.
  • Quantum Computing: We involve more into the evolving domain of quantum computing. This consists of quantum computer framework, technique creation, or quantum computing applications.
  • Human-Computer Interaction (HCI): To enhance the communication among computers and humans, we explore novel approaches like augmented reality, virtual reality, and user interface design.
  • Bioinformatics and Computational Biology: Our work intends to implement computer engineering norms to the biology domain, including creation of techniques for examining biological data or framing complicated biological models.
  • Big Data and Data Analytics: For managing, processing and examining extensive datasets, we investigate new techniques. This can incorporate data visualization, machine learning algorithms, or the creation of novel data analysis tools.

Thesis Projects for Computer Engineering

Keep in mind that a proper thesis topic must be practical within the objective and accessible materials in addition to be creative and intriguing. Also it is significant to examine the possibility and importance of the topic in the latest trending approaches.

What is a good research question for thesis?

For a computer engineering-based thesis, the creation of an effective research query incorporates finding a particular issue or passionate region within the domain, and designing a query that must be achievable as well as crucial. Appropriate research key word plays a major role it acts a good research question as it attracts the readers. Get our thesis writing services done from subject professionals, we handle it perfectly that abides by your academic standards. Below, we suggest some well-defined research queries related to computer engineering across different regions where we provide major assistance:

  • Machine Learning and AI: How can machine learning algorithms be optimized for energy efficiency in mobile devices without compromising performance?
  • Internet of Things (IoT): How can IoT devices be made more secure against distributed denial-of-service (DDoS) attacks without significantly increasing their cost or complexity?
  • Computer Vision and Image Processing: Can deep learning techniques improve the accuracy of real-time object detection in varied lighting and weather conditions?
  • Robotics and Automation: What are the challenges and solutions for implementing collaborative robots (cobots) in small and medium-sized manufacturing enterprises?
  • Networks and Distributed Systems: What new models of distributed computing can effectively leverage edge computing for faster data processing in IoT networks?
  • Cybersecurity and Cryptography: What are the effective strategies to detect and mitigate advanced persistent threats in enterprise networks?
  • Quantum Computing: What are the practical limitations of implementing Shor’s algorithm in current quantum computing models, and how can these limitations be overcome?
  • Human-Computer Interaction (HCI): How does the integration of augmented reality in educational software impact the learning outcomes in STEM subjects for high school students?
  • Big Data and Data Analytics: How can big data analytics be used to predict and mitigate traffic congestion in urban areas effectively?
  • Bioinformatics and Computational Biology: How can computational models be improved to more accurately simulate protein folding in complex organisms?

It is essential to make sure that your research query is explicit, concentrated, and realistic within the research goal while structuring it. The query must be more particular to be solvable within your research but also sufficiently wide to be aligned with realistic and educational passion. It will direct your study to dedicate novel perceptions and expertise to the computer engineering domain.

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  • Massive Multiple Access Based on Superposition Raptor Codes for Cellular M2M Communications
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  • Class based dynamic priority scheduling for uplink to support M2M communications in LTE
  • Modeling and Forecasting of Timescale Network Traffic Dynamics in M2M Communications
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  • Deriving Machine to Machine (M2M) Traffic Model from Communication Model
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  • System Behavior and Improvements for M2M Devices Using an Experimental Satellite Network
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  • A dynamic access class barring scheme to balance massive access requests among base stations over the cellular M2M networks
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  • Low-Complexity Heuristic Algorithm for Power Allocation and Access Mode Selection in M2MNetworks
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  • To random access or schedule? Optimum 3GPP licensed-assisted access for machine-to-machine communications
  • Building communications system: Takenaka’s M2M platform for building management & application interface
  • A Multi-Gbps, Energy Efficient, Contactless Data-Communication Link for Machine-to-Machine (M2M) Interaction with Rotational Freedom.
  • Grouping Based Uplink Resource Allocation for Massive M2M Communications over LTE
  • Exploiting Spatial and Temporal Correlations for Signal-Centric MAC in M2M Communication
  • Power Control for Cognitive M2M Communications Underlaying Cellular With Fairness Concerns
  • Wireless M2M Communication Networks for Smart Grid Application
  • An energy-efficient scheme for WiFi-capable M2M devices in hybrid LTE network
  • Service Characteristics-Oriented Joint ACB, Cell Selection, and Resource Allocation Scheme for Heterogeneous M2M Communication Networks
  • Optimizing Data Aggregation for Uplink Machine-to-Machine Communication Networks
  • Pattern Division Random Access (PDRA) for M2M Communications With Massive MIMO System
  • Modeling and analysis for admission control of M2M communications using network calculus
  • An energy efficient, fault tolerant and secure clustering scheme for M2M communication networks
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Home > Engineering > Computer Science > Computer Science Graduate Projects

Computer Science Graduate Projects and Theses

Theses/dissertations from 2023 2023.

High-Performance Domain-Specific Library for Hydrologic Data Processing , Kalyan Bhetwal

Verifying Data Provenance During Workflow Execution for Scientific Reproducibility , Rizbanul Hasan

Remote Sensing to Advance Understanding of Snow-Vegetation Relationships and Quantify Snow Depth and Snow Water Equivalent , Ahmad Hojatimalekshah

Exploring the Capability of a Self-Supervised Conditional Image Generator for Image-to-Image Translation without Labeled Data: A Case Study in Mobile User Interface Design , Hailee Kiesecker

Fake News Detection Using Narrative Content and Discourse , Hongmin Kim

Anomaly Detection Using Graph Neural Network , Bishal Lakha

Sparse Format Conversion and Code Synthesis , Tobi Goodness Popoola

Portable Sparse Polyhedral Framework Code Generation Using Multi Level Intermediate Representation , Aaron St. George

Severity Measures for Assessing Error in Automatic Speech Recognition , Ryan Whetten

Theses/Dissertations from 2022 2022

Improved Computational Prediction of Function and Structural Representation of Self-Cleaving Ribozymes with Enhanced Parameter Selection and Library Design , James D. Beck

Meshfree Methods for PDEs on Surfaces , Andrew Michael Jones

Deep Learning of Microstructures , Amir Abbas Kazemzadeh Farizhandi

Long-Term Trends in Extreme Environmental Events with Changepoint Detection , Mintaek Lee

Structure Aware Smart Encoding and Decoding of Information in DNA , Shoshanna Llewellyn

Towards Making Transformer-Based Language Models Learn How Children Learn , Yousra Mahdy

Ontology-Based Formal Approach for Safety and Security Verification of Industrial Control Systems , Ramesh Neupane

Improving Children's Authentication Practices with Respect to Graphical Authentication Mechanism , Dhanush Kumar Ratakonda

Hate Speech Detection Using Textual and User Features , Rohan Raut

Automated Detection of Sockpuppet Accounts in Wikipedia , Mostofa Najmus Sakib

Characterization and Mitigation of False Information on the Web , Anu Shrestha

Sinusoidal Projection for 360° Image Compression and Triangular Discrete Cosine Transform Impact in the JPEG Pipeline , Iker Vazquez Lopez

Theses/Dissertations from 2021 2021

Training Wheels for Web Search: Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom , Garrett Allen

Fair and Efficient Consensus Protocols for Secure Blockchain Applications , Golam Dastoger Bashar

Why Don't You Act Your Age?: Recognizing the Stereotypical 8-12 Year Old Searcher by Their Search Behavior , Michael Green

Ensuring Consistency and Efficiency of the Incremental Unit Network in a Distributed Architecture , Mir Tahsin Imtiaz

Modeling Real and Fake News Sharing in Social Networks , Abishai Joy

Modeling and Analyzing Users' Privacy Disclosure Behavior to Generate Personalized Privacy Policies , A.K.M. Nuhil Mehdy

Into the Unknown: Exploration of Search Engines' Responses to Users with Depression and Anxiety , Ashlee Milton

Generating Test Inputs from String Constraints with an Automata-Based Solver , Marlin Roberts

A Case Study in Representing Scientific Applications ( GeoAc ) Using the Sparse Polyhedral Framework , Ravi Shankar

Actors for the Internet of Things , Arjun Shukla

Theses/Dissertations from 2020 2020

Towards Unifying Grounded and Distributional Semantics Using the Words-as-Classifiers Model of Lexical Semantics , Stacy Black

Improving Scientist Productivity, Architecture Portability, and Performance in ParFlow , Michael Burke

Polyhedral+Dataflow Graphs , Eddie C. Davis

Improving Spellchecking for Children: Correction and Design , Brody Downs

A Collection of Fast Algorithms for Scalar and Vector-Valued Data on Irregular Domains: Spherical Harmonic Analysis, Divergence-Free/Curl-Free Radial Basis Functions, and Implicit Surface Reconstruction , Kathryn Primrose Drake

Privacy-Preserving Protocol for Atomic Swap Between Blockchains , Kiran Gurung

Unsupervised Structural Graph Node Representation Learning , Mikel Joaristi

Detecting Undisclosed Paid Editing in Wikipedia , Nikesh Joshi

Do You Feel Me?: Learning Language from Humans with Robot Emotional Displays , David McNeill

Obtaining Real-World Benchmark Programs from Open-Source Repositories Through Abstract-Semantics Preserving Transformations , Maria Anne Rachel Paquin

Content Based Image Retrieval (CBIR) for Brand Logos , Enjal Parajuli

A Resilience Metric for Modern Power Distribution Systems , Tyler Bennett Phillips

Theses/Dissertations from 2019 2019

Edge-Assisted Workload-Aware Image Processing System , Anil Acharya

MINOS: Unsupervised Netflow-Based Detection of Infected and Attacked Hosts, and Attack Time in Large Networks , Mousume Bhowmick

Deviant: A Mutation Testing Tool for Solidity Smart Contracts , Patrick Chapman

Querying Over Encrypted Databases in a Cloud Environment , Jake Douglas

A Hybrid Model to Detect Fake News , Indhumathi Gurunathan

Suitability of Finite State Automata to Model String Constraints in Probablistic Symbolic Execution , Andrew Harris

UNICORN Framework: A User-Centric Approach Toward Formal Verification of Privacy Norms , Rezvan Joshaghani

Detection and Countermeasure of Saturation Attacks in Software-Defined Networks , Samer Yousef Khamaiseh

Secure Two-Party Protocol for Privacy-Preserving Classification via Differential Privacy , Manish Kumar

Application-Specific Memory Subsystem Benchmarking , Mahesh Lakshminarasimhan

Multilingual Information Retrieval: A Representation Building Perspective , Ion Madrazo

Improved Study of Side-Channel Attacks Using Recurrent Neural Networks , Muhammad Abu Naser Rony Chowdhury

Investigating the Effects of Social and Temporal Dynamics in Fitness Games on Children's Physical Activity , Ankita Samariya

BullyNet: Unmasking Cyberbullies on Social Networks , Aparna Sankaran

FALCON: Framework for Anomaly Detection In Industrial Control Systems , Subin Sapkota

Investigating Semantic Properties of Images Generated from Natural Language Using Neural Networks , Samuel Ward Schrader

Incremental Processing for Improving Conversational Grounding in a Chatbot , Aprajita Shukla

Estimating Error and Bias of Offline Recommender System Evaluation Results , Mucun Tian

Theses/Dissertations from 2018 2018

Leveraging Tiled Display for Big Data Visualization Using D3.js , Ujjwal Acharya

Fostering the Retrieval of Suitable Web Resources in Response to Children's Educational Search Tasks , Oghenemaro Deborah Anuyah

Privacy-Preserving Genomic Data Publishing via Differential Privacy , Tanya Khatri

Injecting Control Commands Through Sensory Channel: Attack and Defense , Farhad Rasapour

Strong Mutation-Based Test Generation of XACML Policies , Roshan Shrestha

Performance, Scalability, and Robustness in Distributed File Tree Copy , Christopher Robert Sutton

Using DNA For Data Storage: Encoding and Decoding Algorithm Development , Kelsey Suyehira

Detecting Saliency by Combining Speech and Object Detection in Indoor Environments , Kiran Thapa

Theses/Dissertations from 2017 2017

Identifying Restaurants Proposing Novel Kinds of Cuisines: Using Yelp Reviews , Haritha Akella

Editing Behavior Analysis and Prediction of Active/Inactive Users in Wikipedia , Harish Arelli

CloudSkulk: Design of a Nested Virtual Machine Based Rootkit-in-the-Middle Attack , Joseph Anthony Connelly

Predicting Friendship Strength in Facebook , Nitish Dhakal

Privacy-Preserving Trajectory Data Publishing via Differential Privacy , Ishita Dwivedi

Cultivating Community Interactions in Citizen Science: Connecting People to Each Other and the Environment , Bret Allen Finley

Uncovering New Links Through Interaction Duration , Laxmi Amulya Gundala

Variance: Secure Two-Party Protocol for Solving Yao's Millionaires' Problem in Bitcoin , Joshua Holmes

A Scalable Graph-Coarsening Based Index for Dynamic Graph Databases , Akshay Kansal

Integrity Coded Databases: Ensuring Correctness and Freshness of Outsourced Databases , Ujwal Karki

Editable View Optimized Tone Mapping For Viewing High Dynamic Range Panoramas On Head Mounted Display , Yuan Li

The Effects of Pair-Programming in a High School Introductory Computer Science Class , Ken Manship

Towards Automatic Repair of XACML Policies , Shuai Peng

Identification of Unknown Landscape Types Using CNN Transfer Learning , Ashish Sharma

Hand Gesture Recognition for Sign Language Transcription , Iker Vazquez Lopez

Learning to Code Music : Development of a Supplemental Unit for High School Computer Science , Kelsey Wright

Theses/Dissertations from 2016 2016

Identification of Small Endogenous Viral Elements within Host Genomes , Edward C. Davis Jr.

When the System Becomes Your Personal Docent: Curated Book Recommendations , Nevena Dragovic

Security Testing with Misuse Case Modeling , Samer Yousef Khamaiseh

Estimating Length Statistics of Aggregate Fried Potato Product via Electromagnetic Radiation Attenuation , Jesse Lovitt

Towards Multipurpose Readability Assessment , Ion Madrazo

Evaluation of Topic Models for Content-Based Popularity Prediction on Social Microblogs , Axel Magnuson

CEST: City Event Summarization using Twitter , Deepa Mallela

Developing an ABAC-Based Grant Proposal Workflow Management System , Milson Munakami

Phoenix and Hive as Alternatives to RDBMS , Diana Ornelas

Massively Parallel Algorithm for Solving the Eikonal Equation on Multiple Accelerator Platforms , Anup Shrestha

A Certificateless One-Way Group Key Agreement Protocol for Point-to-Point Email Encryption , Srisarguru Sridhar

Dynamic Machine Level Resource Allocation to Improve Tasking Performance Across Multiple Processes , Richard Walter Thatcher

Theses/Dissertations from 2015 2015

Developing an Application for Evolutionary Search for Computational Models of Cellular Development , Nicolas Scott Cornia

Accelerated Radar Signal Processing in Large Geophysical Datasets , Ravi Preesha Geetha

Integrity Coded Databases (ICDB) – Protecting Integrity for Outsourced Databases , Archana Nanjundarao

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Muhammad Shafique

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Various topics in Machine Learning Hardware and Optimizations, Hardware Security, Reliability, and Energy Efficient Technologies are available. Key applications areas that we target are IoT and CPS with "Smart" prefix. Interested candidates should drop an email at "[email protected]".

Master/bachelor theses (some examples of open topics).

  • Machine/Deep Learning on GPUs and FPGAs
  • Approximate Accelerators for Convolutional Neural Networks (CNNs)
  • Approximate Image Processing on FPGAs
  • Energy-Efficient Motion Tracking in Internet-of-Things
  • Statistical Quality Analysis in Approximate Computing
  • High-Level Synthesis for Approximate Computing
  • Fault-Tolerant Multi-Core Architectures 
  • Aging Modeling and Optimization of Multi-Cores
  • Energy-Efficiency for DRAM Memories
  • Hardware Trojan Detection and Mitigation
  • Game-Theoretic Resource Management in Many-Core Systems.
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Free Project Topics on Modish Project

COMPUTER ENGINEERING PROJECT TOPICS AND MATERIALS

Computer engineering project topics and materials for undergraduate and post graduate students. research project paper, seminar topics, proposals, titles, ideas and materials are available for dissertation, thesis and essay in computer engineering department. find below the list of research project topics for bsc, msc and phd computer engineering students., latest projects, effect of rate, time and method of nitrogen fertilizer application on the growth and..., multi-purpose cda sprayer development, the fertility status of soils along the microtopography of the river galma fadama at..., the effect of nitrog, phosphorus and farmyard manure on the growth and yield..., utilization of cassava peels as energy source for chickens –, research department.

  • ACCOUNTING PROJECT TOPICS AND MATERIALS 3553
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  • ECONOMICS PROJECT TOPICS AND MATERIALS 457
  • AGRICULTURAL SCIENCE PROJECT TOPICS AND MATERIALS 449
  • LIBRARY SCIENCE PROJECT TOPICS AND MATERIALS 444

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  • Thesis Topics Ideas for Computer Engineering

If you are struggling to get the Thesis Topics Ideas for Computer Engineering then phdtopic.com gives you best results. Computer engineering is often the combination of computer science and electrical engineering. It is involved in the design of both software and hardware. All our experts are well trained staff you provide you best results for your Computer Engineering thesis work. For thesis topics, we offer some feasible concepts based on computer science field:

  • Machine Learning Algorithms for Cybersecurity : For identifying and prohibiting cyber threats, the machine learning techniques are generated and examined.
  • IoT (Internet of Things) and Smart Cities : Concentrating on research areas like energy efficiency, biological survey or traffic management, we develop and execute IoT solutions for applications in smart cities.
  • Quantum Computing : Quantum algorithm constructions are analyzed by us or involved in the exploration of synthesizing quantum computing with classical computing systems.
  • Embedded Systems Design : For diverse applications like health care equipment, user electronics or automated systems, this study highlights the architecture and enhancements of real-time systems.
  • Blockchain Technology : Over cryptocurrencies, consider the implementation of blockchain technology such as digital identity, protecting the voting systems and supply chain management.
  • 5G/6G Wireless Technology : Regarding 5G or future 6G wireless technology, the expected programs, discoveries and problems are studied necessarily.
  • Artificial Intelligence in Robotics : Emphasizing the decision-making, human-robot communication and directions, AI algorithms are especially formulated for automated robots.
  • Virtual Reality (VR) and Augmented Reality (AR) : Some diverse areas like entertainment, training, healthcare or education, the creative programs of VR (Virtual Reality) and AR (Augmented Reality) are investigated.
  • Neuromorphic Computing : For reinforced computing capability, accomplish the computer systems to replicate the neural structure of the human brain.
  • Biometric Security Systems : This research mainly intends in technologies such as iris recognition, fingerprint scanning and facial recognition and involves in constructing or improving the biometric security systems.
  • Advanced Computer Vision Techniques : In computer visions, novel methods or programs are explored by us like automated tracking systems, pattern recognition or image analysis.
  • Energy-Efficient Computing Architectures : By means of decreasing the environmental consequences of computing, conduct research on generating power saving processors, data center or memory architecture.
  • Data Privacy in Big Data : Specifically in the concern of data privacy, we review the techniques and algorithms for sustaining secrecy in big data analytics.
  • Autonomous Vehicles : Involving path finding techniques, security models and sensor fusion, it mainly concentrates on the advancement of techniques especially for self-driving cars.
  • Network Security Protocols : To secure against progressing cyber-attacks, study and design the modernized network security protocols.
  • Human-Computer Interaction (HCI) : In software programs or websites, carry out research and enhance the user interface architecture, approachability or practicability.
  • Cloud Computing Optimization : Specifying the areas like cloud storage, distributed computing and virtualization, crucially explore the means to enhance the cloud computing resources.
  • Wearable Technology for Health Monitoring : Concentrating on data accuracy, concurrent data processing and consumer convenience, formulate and implement the wearable devices for tracking the specific health criteria.
  • Edge Computing for IoT : Highlighting the safety, adaptability and speed, the edge computing solutions for refining the IoT data is created effectively.
  • Software-Defined Networking (SDN) : In contemporary network management and security, examine the uses and impacts of SDN (Software-defined Networking) architecture.

What are the hot research areas in natural language processing for a master’s thesis?

The term “NLP” stands for Natural Language Processing is a machine learning technology which is a beneficial tool that provides efficiency to computers to interpret, manage and figure out the human language. Some of the trending research areas in NLP are offered by us that are noteworthy to perform a project:

  • Transformer Models : For carrying out diverse NLP tasks like sentiment analysis, text generation and language interpretation, investigate the transformer architecture such as GPT-3 and BERT.
  • Multilingual and Cross-Lingual NLP : To interpret and process various languages or convert one language into another, make use of NLP and execute systems.
  • Explainable AI in NLP : Primarily in applications where the model interpretation is very important, the techniques are analyzed to develop the NLP models in an understandable and solvable manner.
  • Sentiment Analysis and Opinion Mining : Encompassing perspective-based language processing and text classification from diverse sources like social media, the modernized methods in sentiment analysis are explored.
  • Conversational AI and Chatbots : To manage the complicated relationship and present human-like communication, the modernized chatbots and automated agents are generated productively.
  • NLP for Healthcare : For performing tasks like patient data analysis, disease prediction and deriving the clinical details, implement NLP to clinical texts.
  • Bias and Fairness in NLP Models : Conduct an extensive research on biases in training data, in what way it influences the NLP models and emerging techniques to reduce these biases.
  • Named Entity Recognition (NER) : Some particular fields like law or finance, awareness and fine-grained entity recognition are involved in exploration of innovative methods of NER ( Named Entity Recognition) .
  • Machine Translation : This subject importantly specifies on low-resource languages or progressing the capacity and features of translations which are involved in investigating the advanced machine translation techniques.
  • NLP in Social Media Analytics : By means of interpreting the consumer behavior, general consultation and patterns, the social media data is evaluated significantly.
  • Question Answering Systems : Involving environment-aware multi-stage questions and answering, the refined question answering systems are designed to interpret and solve the complicated questions.
  • Information Retrieval and Search Engines : For deriving the details and seeking the significance of findings, acquire the benefit of NLP methods to optimize search algorithms.
  • Text Summarization : Encompassing theoretical or extractive methods and programs in fields like ethical or news documents, develop efficient algorithms for text summarization.
  • Voice and Speech Recognition : Particularly in noisy environments or for numerous tones, voice recognition systems are improved for best authenticity.
  • NLP for Educational Applications : In educational informatics, implement the NLP methods like customized learning content, automated essay scoring or language tutoring systems.
  • NLP for Fake News Detection : On digital platforms, find and resist false news or fake information by utilizing NLP methods.
  • Emotion Recognition in Text : To identify and evaluate emotions in text, design efficient models. Social media monitoring, customer service and furthermore are some applicable areas.
  • NLP for Content Accessibility : Make use of NLP and assist the persons with incapacities for improving the content availability. Such as sign language translation tools or formulating the advanced screen readers.
  • Neural Network Pruning for NLP : For performing NLP tasks, study the development of neural networks which is very important in resource-limited contexts.
  • Ethical and Legal Implications of NLP : Specifically in conflict zones, the legal, secrecy and ethical aspects in establishing the NLP technologies are investigated.

Thesis Project Ideas for Computer Engineering

Is there a thesis in computer science?

Indeed, a thesis for computer science exists, enabling us to conduct a methodical examination of the research. Typically, the thesis encompasses the definition, development, and execution of our investigation within the chosen problem domain.

  • Store, carry and forward for energy efficiency in multi-hop cellular networks with mobile relays
  • Robust Secure Beamforming for 5G Cellular Networks Coexisting With Satellite Networks
  • Outage analysis of two-tier heterogeneous cellular network with sleep strategies
  • On-demand energy-efficient routing for delay-constrained service in power-controlled multihop cellular network
  • Competitive analysis of on-line randomized call control in cellular networks
  • Achievable Degrees of Freedom of Relay-Aided MIMO Cellular Networks Using Opposite Directional Interference Alignment
  • Performance Evaluation of Aerial Relaying Systems for Improving Secrecy in Cellular Networks
  • Analysis of User Mobility Effects on Packet Level Performances in Next Generation Mobile Communication Networks
  • A priority based call admission control protocol with call degradation for cellular networks
  • Performance evaluation of a time division multi-hop relay scheme in CDMA cellular networks
  • WebCell-script: A web-based script for managing quantitative and qualitative information of cellular networks
  • A novel location management technique for dualhomed UMTS cellular networks
  • An interference management strategy for device-to-device underlaying cellular networks with partial location information
  • SQoE KQIs anomaly detection in cellular networks: Fast online detection framework with Hourglass clustering
  • Joint Cache Placement and Delivery Design using Reinforcement Learning for Cellular Networks
  • Social-Aware Peer Discovery for D2D Communications Underlaying Cellular Networks
  • A QoS-Aware Adaptive Access Point Sleeping in Relay Cellular Networks for Energy Efficiency
  • Effect of User Density and Traffic Volume on Uplink Capacity of Multihop Cellular Network
  • A D2D cooperative relay scheme for machine-to-machine communication in the LTE-A cellular network
  • Coverage Analysis of Cell-Edge Users in Reconfigurable Intelligent Surface-Assisted Cellular Networks

Engineering Dissertation Topics

A dissertation (or a final year project report) is a comprehensive technical report of the research work carried out. A dissertation must present some new, original concepts that lead to further research. The core area of a dissertation consists of a hypothesis (or a research question) upon which an investigation is conducted and, in most cases, inevitably leads to further research. A dissertation must be focused, concise and must address the research topics at every level. Also, along with research, a dissertation is expected to present complete evidence of research work in the form of research methods. Sometimes it’s hard to even know where to start. Herein, many engineering research areas, currently being sought after in the industry and academia, are suggested, including electronics, sensors technology, environmental engineering, supply chain engineering, computer science engineering, electrical engineering and civil engineering, to help you start your research.

  • Electronics and Communication Dissertation Topics

Sensors Technology Dissertation Topics

Environmental engineering dissertation topics, supply chain engineering dissertation topics, supply chain management dissertation topics, computer science engineering dissertation topics, electrical engineering dissertation topics, civil engineering dissertation topics, management related engineering dissertation topics, electronics and communications dissertation topics.

Over the past decade the rise of electronic communication has been revolutionised; it is the fastest growing technology. There are numerous areas of research in this field; however, the most demanding ones are highlighted below.

  • Defining the boundaries of electrical signals for current electronics (communication) systems.
  • The limitation of fibre optic communication systems and the possibility of further improving their efficiency.
  • Developing the embedded communication system for the national grid to optimise energy usage.
  • Improvement of inter-symbol interference in optical communications.
  • A study of the various forms of errors and the development of an equalisation technique to reduce the error rates in data.
  • Gaussian pulse analysis and the improvement of this pulse to reduce errors.
  • Realising the potential of RFID in the improvement of supply chain.
  • Radiation in integrated circuits and electronic devices.
  • Design of high speed communication circuits that effectively cut down signal noise.
  • Spectral sensing research for water monitoring applications and frontier science and technology for chemical, biological and radiological defence.
  • Nano-structured membranes for preparative purifications of biopharmaceuticals.

The rise of smart technology has been revolutionising sensor technologies, and there is a high demand to make more efficient and compact sensors. The following topics are a few areas that researchers are currently working in to realise further potentials.

  • Design and development of a pressure sensor for a solar thermal panel.
  • An investigation into wind speed and direction sensors to optimise the operations of wind turbines.
  • Utilising MEMS for profiling airflow around large building structures.
  • Development of micro sensors to measure oil flow rate in tanks.
  • Development and implementation of micro sensors to study pressure of the blood stream.
  • Development of sensors to measure heat generated from solar panels.
  • Sensing and controlling the intensity of light in LEDs.
  • Research and computational simulation of a natural olfactory biosensor.
  • Development of glucose biosensors using nanotechnology.

We are living in the age of technology where the driving force is to reduce the environmental impact of engineering products. Many countries have been undertaking projects supporting the environment and aiming to reduce carbon emissions. The following engineering dissertation topics are of utmost interest for researchers in the industry.

  • Analysing the impact of aviation industry on the environment and the potential ways to reduce it.
  • The environmental cost of the so called green energy, ‘wind energy’.
  • An analysis of factors that hinder the realising of cutting-edge technology for reducing carbon emissions from automobiles.
  • Design and development of a system for measuring the carbon index of an energy intensive company.
  • Process improvement techniques to identify and remove waste in the automotive industry.
  • Process mapping techniques to identify bottle necks for supply chain industry.
  • A study of compressor operations on a forging site and mapping operations to identify and remove energy waste.
  • Improving processes to reduce kWh usage and reduce inefficiencies.
  • Developing a compact device to measure energy use for a household.
  • In the forging industry how can changing burners within furnaces help organisations achieve energy efficiency?
  • How can gas consumption be reduced and efficiency introduced to reduce kWh usage?
  • How can voltage reduction devices help organisations achieve efficiency in electricity usage?
  • What are carbon credits and how can organisations generate them?
  • There are some organisations that use water excessively, with bills totalling more than £25,000. Identify the main reasons for such water usage and investigate better ways to introduce water efficiency and create savings.
  • Identify the ways by which efficient control systems using information systems can be introduced to study the energy usage in a machining factory.
  • A project to set up ways to measure natural gas flow ultrasonically and identify waste areas.
  • How can water conductivity probes help determine water quality and how can water be reused?

Supply chain plays an important role in the manufacturing business sector. It is important that the supply chain is well supported by efficient methods and processes. Your engineering dissertation topics could be about:

  • Highlighting the difference between the supply chain engineering and management for a company to improve output.
  • Analysing the key factors in process planning and optimisation of supply chain for a manufacturing company.
  • Developing a supply chain template for a small but thriving online business.
  • How can organisations achieve success by reducing bottlenecks in supply chain?
  • Just-in-time – is it really valid? Measurement of losses within just-in-time process implementation.
  • How can process efficiency be introduced to reduce waste within the manufacturing process?
  • Supplier relationship is an important factor for the success of just-in-time. How can organisations ensure successful transactions?
  • Research to identify efficient logistics operations within a supply chain.
  • Research to introduce efficiency within information systems and support timely transfer of knowledge and information.
  • The effect of globalisation on supply chain engineering/management for large multi-national companies.
  • Research studying the impact of culture on supply chain industries: identification of factors that generate inefficiencies with the supply chain.

Supply chain management involves the administration, management, control and supervision of the movement of goods and services from supplier to manufacturer to wholesaler to retailer and to the end consumer. Supply chain management involves coordinating and integrating these elements using an effective and efficient approach and methodology. Supply chain management is important for businesses to ensure there is minimum waste, drive innovation thereby creating integrated value chains. Supply chain management plays an important and central role in the success of a business. Please find a list of topics on supply chain management that may be useful for your engineering dissertation:

  • A detailed investigation into the need and use of dynamic staff to determine and rectify supply chain problems with a specific focus on the construction industry.
  • Research into eco-friendly and sustainable practices in supply chain management.
  • Research to develop a learning organisation and its impact on supply chain management.
  • Research to measure and develop intellectual capital within the supply chain industry.
  • A detailed study of innovative forecasting and demand planning strategies for supply chain management
  • Research study to create measurements to study the impact of learning organisation on performance measurement in supply chain industry
  • Impact of training on knowledge performance index within supply chain industry.
  • The behaviour of Carbon index with the implementation of a learning organisation.
  • Developing a framework for supply chain management in densely populated urban cities
  • Detailed investigation and analysis taking into account supply chain and logistical strategies for perishable goods.
  • The influence and impact of emerging e-commerce technologies on supply chain management.

Computer science engineering focuses on the key elements of computer programming and networking with a focus on gaining knowledge of the design, implementation and management of information systems. Information systems play a major role in computer science engineering and an integral component to the successful operations of organisations. The management of information technology systems is a major element for organisations. The following could be used for an engineering dissertation as well as a computing dissertation:

  • How can organisations ensure that information system is effectively used to maintain process efficiency?
  • How can learning organisations influence the development of information systems?
  • The role of risk management in information technology systems of organisations.
  • Research to identify and reduce e-waste using information technology strategies and systems.
  • Current status and research on E-waste in the United Kingdom
  • Development of measurement systems to measure e-waste.
  • A detailed review of the role of information technology in improving productivity and transforming organisations.
  • An investigation into the use of information technology as a tool for sustained competitive advantage.
  • A high-level investigation and detailed review into best practices for the implementation of information technology in modern day organisations.

Electrical engineering is focused on the design, development, testing, supervision and the manufacturing of electrical equipment. Electrical engineers design the electrical systems of automobiles, aircrafts, power generation equipment, communications systems, radar and navigational systems. The design and development of these electrical components are key and central to modern day life. There are several topics within this area that you could research for your electrical engineering dissertation:

  • Development of a system to study the efficiency of motors in order to reduce kWh usage
  • Setting up of a control system to monitor the process usage of compressors.
  • Develop a scheme to normalise compressor output to kWh.
  • Research to investigate, develop and introduce schemes to ensure efficient energy consumption by electrical machines.
  • Research to study transformer losses and reduce energy loss.
  • Research to study metering techniques to control and improve efficiency.
  • Research to introduce smart metering concepts to ensure efficient use of electricity.
  • Integration of smart metering pulsed outputs with wireless area networks and access real-time data.
  • Developing effective strategies and methodical systems for pay as you go charging for electric vehicles
  • A detailed review and investigation into the key issues and challenges facing rechargeable lithium batteries
  • Trends and challenges in electric vehicles technologies
  • Smart charging of electric vehicles on the motorway

The main emphasis of civil engineering in recent times is focused on sustainable development of quality, durable structures that deliver value for money, maximise the benefits from innovation and meets the specifications of the end users. Construction of sustainable houses has been a top priority within civil engineering. The following research topics are being actively undertaken and may be a good area for you to base your research on your own engineering dissertation:

  • Development of sustainable homes making use of renewable energy sources.
  • The use of sustainable materials for construction: design and delivery methods.
  • The role of environmental assessment tools in sustainable construction
  • The use of warm mix asphalt in road construction
  • Research to study properties of concrete to achieve sustainability.
  • Development of waste reduction strategy to achieve sustainable concepts
  • High-level review of the barriers and drivers for sustainable buildings in developing countries
  • Research to study the impact of sustainability concepts on organisational growth and development.
  • Sustainable technologies for the building construction industry
  • Building Information Modelling in the construction industry
  • Research regarding micromechanics of granular materials.
  • Research to study and develop water treatment processes.
  • Research to set up remote sensing applications to assist in the development of sustainable construction techniques.
  • High-level strategies, best practice guidelines and methodologies for sustainable construction.
  • State of the art practice for recycling in the construction industry.
  • Key factors and risk factors associated with the construction of high rise buildings.
  • An investigation into health and safety in the construction industry.

Engineering management is the application of the practice of management to the practice of engineering. Engineering management integrates problem-solving, engineering, technological developments and advancements in organizational structure, administrative, and planning abilities of management in order to oversee the operational performance of complex engineering driven enterprises. These two topics go hand in hand and support each other quite well. It is important that both sides are well balanced. The following research topics could be useful for your engineering dissertation:

  • Steps to conduct management of change to ensure smooth process improvement.
  • Research to sustainably manage a project team.
  • Research to study the management of engineering projects and various risks involved with them.
  • Research to identify process improvement plans to support business strategies.
  • Efficient supply chain management to ensure and develop key motivational skills within staff members.
  • How leadership can help efficiency within a learning organisation.
  • Developing an integrated approach to strategic management in organisations.
  • Creating and sustaining competitive advantage in engineering organisations.
  • Developing frameworks for sustainable assessments taking into account eco-engineering measures.
  • The role of engineers in managing development in emerging countries.

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221 Interesting Thesis Topics for IT Students

it thesis topics

Did you know that one of the most important parts of writing your dissertation is finding the best topic possible? You are probably having serious problems finding a topic for your thesis. After all, the thesis topics IT students are looking for are pretty rare. The reality is that in the IT field, most topics have already been written about. There are few things left to write it seems. Well, things are a bit different. We are here to assure you that you can find thesis topics for IT students. Also, we want to assure you that it is not at all difficult to find an interesting topic that you can write an engaging paper about. We will provide you with 21 such topics shortly. College students can use our topics for free; we are very happy to help!

Writing Your Thesis and Looking for Dissertation Topics?

  • Why Thesis Topics for IT Students Are Important?
  • Fresh Dissertation Topics for You

Best IT Thesis Topics in Artificial intelligence

Exceptional it thesis topics in computer science and engineering, refreshing it thesis topics in communication and media, top it thesis topics on food technology, thoughtful it thesis topics on technology and human identity, top it thesis topics on pharmaceutical technologies, it thesis topic ideas on energy power technologies, it thesis topics on medical devices and diagnostics, it thesis topics on biotechnology, more interesting it thesis topics for you, need more it dissertation topics.

As you are probably already aware, the IT field is advancing rapidly. Advancements are made almost daily in technology, including information technology. This is why so many students are looking for fresh 2022 dissertation topics. They want to write about the latest technologies and the latest gadgets. Of course, one can go online and find various 2022 thesis topics IT students would find impressive. You will probably find some that are relatively decent. But be aware that the evaluation committee will most certainly not be impressed by decent topics. They want something new. They want something that can pique their interest. They want to LEARN something from you. And they want to award you with some bonus points. Why not take them?

Why Thesis Topics for IT Students Are Important

Did you ever wonder why so many people dedicate so much time to finding a great topic? Probably not. Let’s shed some light on this. College students are looking for IT dissertation topics because they want bonus points. The topic is the first thing the evaluation committee sees. It is the most important part of your paper. As such, it must be interesting, engaging, and also helpful. It must show that you have put in the effort to write the dissertation. Awe the admission committee and you will surely get bonus points. Even if your dissertation is not the best, you will still get a good score if the topic you choose is exceptional. But engaging IT dissertation topics are difficult to come by. Most of your classmates have already picked the simple ones. But you are not like the rest of your class, are you? You want to be original and you want to make a lasting impression on the professors. This is why you need to take a look at our fresh dissertation topics.

21 Fresh Dissertation Topics for You (Absolutely Free)

Without further ado, here are the 21 thesis topics for IT students that we think are the most interesting and engaging:

  • Conducting virtual business in the era of 3D Internet – the business of the future
  • Analyzing e-tourism services in the UK: Factors that Influence Customer Satisfaction
  • Mobile government applications and their benefits
  • Producing believable emotions using AI systems for e-commerce
  • The future of YouTube and multimedia distribution platforms
  • Analyzing the impact of media technology on child development throughout the school
  • Integrating an ERP system with a cloud service
  • Developing a tool to analyze keystrokes and use the data for password security
  • Analyzing critical vulnerabilities of the Android mobile operating system
  • Analyzing the impact of e-publishing on libraries (one of the best thesis topics for IT students)
  • In-depth analysis of the fault-recovery and redundancy in modern 4G mobile networks
  • The impact of full-text databases on Google as a search engine
  • Creating software capable of reading human emotions using a webcam
  • How effective is face recognition as a security measure?
  • Analyzing critical security vulnerabilities in IT systems used at the government level
  • Does curbing software piracy in developing countries have any negative results?
  • Using BitTorrent systems for faster multimedia delivery and playback
  • How safe are whistleblowers operating on the Dark Web? (one of the thesis topics IT students are usually reluctant to write about)
  • Building a Dark Web crawler that indexes onion sites based on specific criteria
  • Creating a modern Tetris game in C# using OpenGL
  • The advantages brought by mobile working to IBM and its employees

If you want to write a relevant research topic, consider writing about Artificial intelligence topics (AI). AI is a relevant phenomenon, and here is a look at some ideas of artificial intelligence that you should look into.

  • Is deep learning an effective way of dealing with deep learning?
  • How do artificial neural networks affect deep learning?
  • Discuss the areas of life machine learning that are most influential.
  • Ways to select the best algorithm for machine learning.
  • How does NASA use robotics?
  • Discuss the process of using natural languages to create a unique language.
  • How does artificial intelligence affect computer vision?
  • Compare and contrast the effects of supervised vs. unsupervised machine learning.
  • The effects of reinforcement machine learning algorithms.
  • Model-based vs. Model-free reinforcement learning algorithms.
  • Deep learning as a subject of machine learning.
  • Comparison between single vs. Multi-agent reinforcement learning.
  • Ways that the social robots interact with the humans
  • How do chatbots aid in the natural language processing system?
  • Five ways of computer vision application.
  • What is the recommended systems approach?
  • What is the interconnection of the Internet of things and artificial intelligence?
  • What amount of data is generated by the Internet of things devices?
  • Compare and contrast content-based recommendation vs. collaborative filtering.
  • What makes the collaborative filtering system stand out?

Computer science and engineering combine two different yet interconnected worlds of machines. The use of computer science uses the computer’s brain. It is, in most cases, used to include areas of studies like programming language and algorithms. Here is a list of research topics in computer science and engineering that you can use.

  • In what ways is the virtual and human perception connected?
  • What is the future of computer science-assisted education?
  • What are computer science and high-dimensional data modeling?
  • The imperative vs. declarative languages.
  • Explain the use of blockchain and AI algorithmic regulations.
  • How has blockchain technology impacted the banking industry?
  • In what way does machine architecture use to affect the efficiency of code?
  • What are the languages of parallel computing?
  • Explain the way that mesh generation is used for computational domains.
  • The cyber-physical optimization vs. the sensor networks.
  • Explain the development of computer graphics in a photorealistic rendering case.
  • What are game theory and network economics?
  • What are the most effective cryptographic protocols?
  • An overview of the software security types.
  • It is possible to eliminate phishing.
  • Floating point and programming language
  • In what ways is the mesh generation used for computational domains?
  • How to get the persistent data structure optimization
  • In what ways does computer thinking affect science?

One of the first areas that technology affected was communication. With technology, media is used for social interactions, business development, and educational purposes. Here are exciting ideas to use when researching your IT thesis paper.

  • What is the impact of ethics on communication?
  • How the development of communication through the computer has evolved in the past decade.
  • In what ways has social media impacted communication?
  • What role do media play during a disaster? Does it increase panic or help in reducing it?
  • Compare and construct the authority’s media presence in different countries.
  • Will people start preferring newspapers to new media again?
  • In what ways has the Internet changed media?
  • Discuss communication networks.
  • What impact do social media have on super bowl ads?
  • What are the new content marketing ideas?
  • What is the impact of media exposure on adolescents?
  • In what ways do people use hype in the media?
  • Discuss the media and freedom of speech.
  • Is it possible for people to build trustful relationships in virtual communication?
  • What measures can you put to maintain privacy on social media?
  • In what ways have computers changed interpersonal communications?
  • What is yellow journalism in new media?
  • In what ways do enterprises use ICT to get a competitive advantage?
  • Is it possible to live without mass media?
  • What are the impacts of mass media and morality in the 21st century?

If you are searching for a qualitative research topic about technology in the food industry, here is a list of ideas you can use.

  • What are the machines used in the food industry?
  • In what ways do robots improve safety in butcheries?
  • 3D printing and the food industry.
  • Is 3D printing the best solution to offer people with swallowing disorders?
  • About drones and precision agriculture.
  • In what ways does robotics help in creating eco-friendly food packages?
  • Is micro packaging the future?
  • Research on the development of edible cling film.
  • The solution that technology has to food waste.
  • How do preservatives and additives impact the human gut microbiome?
  • Physicochemical levels the effect of citric acid on orange juice.
  • Compare and contrast vegetable oil in mass production.
  • Time-temperature indicators and food industry.
  • Farming: hydroponic vs. conventional farming.
  • How is food safety a policy issue in agriculture today?
  • Ways you can use to limit the detection of parasites in food.
  • How is the baking industry evolving?
  • How technology is used to eliminate byproducts in edible oils production
  • About cold plasma and biofilm.
  • Ways to extract good antioxidant peptides are extracted from plants.

The ethical issues surrounding the enhancement technology are intertwined with the questions of human identity and the proper trajectory of human life. Here is a list of thesis ideas you can use in your research.

  • Does technology make human life worth living than animal life?
  • The dignity of human life concerning technology explained?
  • In what ways should humans be observed in informational technology?
  • Should tech and scientific investigations on humans have a limit?
  • What is the importance of DNA information in forming our identity?
  • Is Ancestry DNA testing important?
  • Explain multi-racial identification.
  • Can scientific investigations tell us what self-care is?
  • In what ways will virtual reality technology change us?
  • Should there be a limit on the research in virtual reality? The possibility of virtual reality being the future.
  • What are the benefits of using virtual reality technologies?
  • What is the importance of finding alternative treatments for mental illness other than drugs?
  • Has the increase in technology affected the rise of mental illness?
  • Ways technology can be used to control addiction.
  • Pros and cons of using technology to control brains.
  • 7 social dangers of the brain controlling technology.
  • Does science dictate who we are?
  • What has led to the increase in mental illness among tech enthusiasts?
  • Can tech-related mental illness be cured?
  • What is the relationship between technology and drug addiction?

Companies are using technology to search for ways they can use it to reduce costs and boost effectiveness by doing pharmaceutical technology research. Impress your lecturer by choosing one of the research topics discussed below

  • What is the effectiveness of medical therapy management?
  • Explain how prior electronic authorization is a pharmacy technology trend.
  • Explain the medical therapy management and the health information exchanges.
  • How can electronic prescribing reduce the possibility of drug abuse issues?
  • Ways that pharmacists help with meaningful tech use.
  • Discuss various pharmaceutical technologies.
  • Pharmaceutical technology research.
  • What are specialty medications?
  • Vaccines for AIDS: can it be developed?
  • Ways that the prescription drug monitoring program works.
  • How do specialty pharmacies use NCPDP?
  • Why are patients interested in real-time pharmacy?
  • Phenotypic screening research.
  • Impact of ERP with pharmaceutical company’s analytics.
  • Pharmaceutical technologies: data security.
  • About DNA-encoded library technology.
  • Pro and cons antibiotics vs. superbugs.
  • How does the body-on-a-chip approach be used for personalized medicines?
  • Modern cannabidiol medicine and pain management.
  • What is the future of cannabidiol medicine?

It is not possible to have a technology process without energy. That is the reason that scientists are always looking for ways they can improve energy power technologies. So, if you are looking for thesis topics you can use to impress your lecturer, here is a list of power technology research you can use.

  • Ways that fuel cells can be used for the generation of stationary power.
  • Compare the energy density of lithium-ions and lithium-air batteries.
  • Gasoline vs. Lithium-air batteries.
  • The pros and cons of renewable energy use.
  • How does the UAE use nuclear power?
  • Research on India power installation.
  • Increase in gas prices and alternative energy sources.
  • How can hydrogen energy be used to transform the methods or energy?
  • Is hydrogen energy the future?
  • About the thermal storage and AC systems.
  • In what ways can you use load balance using a smart grid?
  • How can distributed energy generation optimize power waster?
  • Is the smart energy network a solution to climate change?
  • What is the future of tidal power?
  • What is the possibility of 3D printing micro stirring engines?
  • In what ways can robots be used to adjust the solar panel weather?
  • Explain advanced biofuel and algae.
  • In what ways can photovoltaic glass be fully transparent?
  • Compare the different third-generation biofuels.
  • Is space-based solar power a myth or the reality of the future?

The innovation of medicine and technology helps to improve life expectancy. If you feel that saving lives is your purpose, here are some thesis topics you can use in your research paper.

  • The effects of robotic surgeries.
  • Explain defibrillator & cardiac resynchronization therapy.
  • How smart can inhalers be used as a new solution to asthma treatment?
  • Genetic counseling: ways of preventing diseases.
  • What are the benefits of electronic medical records?
  • How is Erythrocytapheresis used to treat sickle cell disease?
  • The reason that drug-eluting stents fail.
  • An overview of the dissolved brain sensors.
  • What are the benefits of 3D printing for medical purposes?
  • How soon will it be possible to create an artificial organ?
  • Research on wearable technologies in health care.
  • Precision medication based on genetics.
  • The importance of using virtual medicine devices for educational purposes.
  • Research on the development of telemedicine.
  • How is technology impacting cancer treatment?
  • Is genome editing safe?
  • How is the electronic diagnosis tool evolving?
  • Brain-machine interface, the future.
  • How does the use of wireless communication help medical professionals in hospitals?
  • Ten ways wearable technology impacts the medical industry.

The development of biotechnology allows people to cure diseases and help with new machines. Here are some ideas of interesting topics you can use for your biotechnology thesis research.

  • Ten impacts of biotechnology in farming.
  • How does biotechnology lead to a self-sufficient protein supply?
  • Evapotranspiration vs. Evaporation.
  • DNA cloning and a Southern blot.
  • How are personalized drugs made?
  • What is pharmacogenetics?
  • Is cloning playing God?
  • How is pharmacogenetics used to get cancer medicines?
  • Is it possible to control our genetics?
  • How much genetic control do humans have?
  • Based on genetics, at what point do we cease to be human?
  • Research on bioethics and stem cells.
  • Definition of genetic engineering.
  • Gene therapy and genetic engineering.
  • Ten benefits and risks of genetic engineering.
  • How does plant genetic enhancement help preserve scarce plants?
  • South Africa Y-chromosome genotyping.
  • Ways technology is used in the creation of new vaccines.
  • How does Nanotechnology help in treating HIV?
  • An overview of Genes in heavy metal tolerance.

Your IT thesis does not have to be boring. Here is a list of interesting thesis topics that will impress your lecturer.

  • Ways that you can eliminate heat-resistant microorganisms with ultraviolet light.
  • In what ways can pesticides be used to diagnose cancer?
  • How can the smeller nuclear reactors be more efficient?
  • An overview of renewable energy technologies.
  • Explain electronic use in the food industry and agriculture.
  • The harm of polyphenols in food.
  • Hope for anticancer nanomedicine.
  • Does increasing military technology make use safe?
  • What is the importance of military research?
  • In what ways can technology be used to gauge intelligence?
  • In what ways is Google search changing us?
  • Blogs vs. books.
  • How is teaching IT research skills important today?
  • Should parents and schools encourage or discourage social media?
  • Does Google affect the attention span of young people? What is the borderline in hardware and software cloud computing?
  • What will be the impact when everything moves to the cloud?
  • How will virtual reality change education?
  • If the computer takes over most of our tasks, what will humans do?
  • What will computer language be important in the future?
  • What are the benefits of robots in health care?

Of course, there are dozens of other thesis topics on which students could write a paper. Some companies specialize in providing college students with entire lists of topics on a specific subject. You just need to contact an online academic writing company and tell its writers what you need. These people have extensive experience in the IT industry and have probably written dozens of dissertations. They can help you with more dissertation topics. And the best part is that some of these online services are quite affordable. An exceptional topic is worth the money – guaranteed!

Are you stuck with writing your thesis? Just enter promo “ mythesis ” – that’s all you need to get a 20% discount for any IT writing assignment you might have!

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