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Computer Science Department Dissertations Collection

Dissertations from 2024 2024.

Enabling Privacy and Trust in Edge AI Systems , Akanksha Atrey, Computer Science

Generative Language Models for Personalized Information Understanding , Pengshan Cai, Computer Science

Towards Automatic and Robust Variational Inference , Tomas Geffner, Computer Science

Multi-SLAM Systems for Fault-Tolerant Simultaneous Localization and Mapping , Samer Nashed, Computer Science

Policy Gradient Methods: Analysis, Misconceptions, and Improvements , Christopher P. Nota, Computer Science

Data to science with AI and human-in-the-loop , Gustavo Perez Sarabia, Computer Science

Question Answering By Case-Based Reasoning With Textual Evidence , Dung N. Thai, Computer Science

Dissertations from 2023 2023

An Introspective Approach for Competence-Aware Autonomy , Connor Basich, Computer Science

Foundations of Node Representation Learning , Sudhanshu Chanpuriya, Computer Science

Learning to See with Minimal Human Supervision , Zezhou Cheng, Computer Science

IMPROVING USER EXPERIENCE BY OPTIMIZING CLOUD SERVICES , Ishita Dasgupta, Computer Science

Automating the Formal Verification of Software , Emily First, Computer Science

Learning from Sequential User Data: Models and Sample-efficient Algorithms , Aritra Ghosh, Computer Science

Human-Centered Technologies for Inclusive Collection and Analysis of Public-Generated Data , Mahmood Jasim, Computer Science

Rigorous Experimentation For Reinforcement Learning , Scott M. Jordan, Computer Science

Towards Robust Long-form Text Generation Systems , Kalpesh Krishna, Computer Science

Emerging Trustworthiness Issues in Distributed Learning Systems , Hamid Mozaffari, Computer Science

TOWARDS RELIABLE CIRCUMVENTION OF INTERNET CENSORSHIP , Milad nasresfahani, Computer Science

Evidence Assisted Learning for Clinical Decision Support Systems , Bhanu Pratap Singh Rawat, Computer Science

DESIGN AND ANALYSIS OF CONTENT CACHING SYSTEMS , Anirudh Sabnis, Computer Science

Quantifying and Enhancing the Security of Federated Learning , Virat Vishnu Shejwalkar, Computer Science

Effective and Efficient Transfer Learning in the Era of Large Language Models , Tu Vu, Computer Science

Data-driven Modeling and Analytics for Greening the Energy Ecosystem , John Wamburu, Computer Science

Bayesian Structural Causal Inference with Probabilistic Programming , Sam A. Witty, Computer Science

LEARNING TO RIG CHARACTERS , Zhan Xu, Computer Science

GRAPH REPRESENTATION LEARNING WITH BOX EMBEDDINGS , Dongxu Zhang, Computer Science

Dissertations from 2022 2022

COMBINATORIAL ALGORITHMS FOR GRAPH DISCOVERY AND EXPERIMENTAL DESIGN , Raghavendra K. Addanki, Computer Science

MEASURING NETWORK INTERFERENCE AND MITIGATING IT WITH DNS ENCRYPTION , Seyed Arian Akhavan Niaki, Computer Science

Few-Shot Natural Language Processing by Meta-Learning Without Labeled Data , Trapit Bansal, Computer Science

Communicative Information Visualizations: How to make data more understandable by the general public , Alyxander Burns, Computer Science

REINFORCEMENT LEARNING FOR NON-STATIONARY PROBLEMS , Yash Chandak, Computer Science

Modeling the Multi-mode Distribution in Self-Supervised Language Models , Haw-Shiuan Chang, Computer Science

Nonparametric Contextual Reasoning for Question Answering over Large Knowledge Bases , Rajarshi Das, Computer Science

Languages and Compilers for Writing Efficient High-Performance Computing Applications , Abhinav Jangda, Computer Science

Controllable Neural Synthesis for Natural Images and Vector Art , Difan Liu, Computer Science

Probabilistic Commonsense Knowledge , Xiang Li, Computer Science

DISTRIBUTED LEARNING ALGORITHMS: COMMUNICATION EFFICIENCY AND ERROR RESILIENCE , Raj Kumar Maity, Computer Science

Practical Methods for High-Dimensional Data Publication with Differential Privacy , Ryan H. McKenna, Computer Science

Incremental Non-Greedy Clustering at Scale , Nicholas Monath, Computer Science

High-Quality Automatic Program Repair , Manish Motwani, Computer Science

Unobtrusive Assessment of Upper-Limb Motor Impairment Using Wearable Inertial Sensors , Brandon R. Oubre, Computer Science

Mixture Models in Machine Learning , Soumyabrata Pal, Computer Science

Decision Making with Limited Data , Kieu My Phan, Computer Science

Neural Approaches for Language-Agnostic Search and Recommendation , Hamed Rezanejad Asl Bonab, Computer Science

Low Resource Language Understanding in Voice Assistants , Subendhu Rongali, Computer Science

Enabling Daily Tracking of Individual’s Cognitive State With Eyewear , Soha Rostaminia, Computer Science

LABELED MODULES IN PROGRAMS THAT EVOLVE , Anil K. Saini, Computer Science

Reliable Decision-Making with Imprecise Models , Sandhya Saisubramanian, Computer Science

Data Scarcity in Event Analysis and Abusive Language Detection , Sheikh Muhammad Sarwar, Computer Science

Representation Learning for Shape Decomposition, By Shape Decomposition , Gopal Sharma, Computer Science

Metareasoning for Planning and Execution in Autonomous Systems , Justin Svegliato, Computer Science

Approximate Bayesian Deep Learning for Resource-Constrained Environments , Meet Prakash Vadera, Computer Science

ANSWER SIMILARITY GROUPING AND DIVERSIFICATION IN QUESTION ANSWERING SYSTEMS , Lakshmi Nair Vikraman, Computer Science

Dissertations from 2021 2021

Neural Approaches to Feedback in Information Retrieval , Keping Bi, Computer Science

Sociolinguistically Driven Approaches for Just Natural Language Processing , Su Lin Blodgett, Computer Science

Enabling Declarative and Scalable Prescriptive Analytics in Relational Data , Matteo Brucato, Computer Science

Neural Methods for Answer Passage Retrieval over Sparse Collections , Daniel Cohen, Computer Science

Utilizing Graph Structure for Machine Learning , Stefan Dernbach, Computer Science

Enhancing Usability and Explainability of Data Systems , Anna Fariha, Computer Science

Algorithms to Exploit Data Sparsity , Larkin H. Flodin, Computer Science

3D Shape Understanding and Generation , Matheus Gadelha, Computer Science

Robust Algorithms for Clustering with Applications to Data Integration , Sainyam Galhotra, Computer Science

Improving Evaluation Methods for Causal Modeling , Amanda Gentzel, Computer Science

SAFE AND PRACTICAL MACHINE LEARNING , Stephen J. Giguere, Computer Science

COMPACT REPRESENTATIONS OF UNCERTAINTY IN CLUSTERING , Craig Stuart Greenberg, Computer Science

Natural Language Processing for Lexical Corpus Analysis , Abram Kaufman Handler, Computer Science

Social Measurement and Causal Inference with Text , Katherine A. Keith, Computer Science

Concentration Inequalities in the Wild: Case Studies in Blockchain & Reinforcement Learning , A. Pinar Ozisik, Computer Science

Resource Allocation in Distributed Service Networks , Nitish Kumar Panigrahy, Computer Science

History Modeling for Conversational Information Retrieval , Chen Qu, Computer Science

Design and Implementation of Algorithms for Traffic Classification , Fatemeh Rezaei, Computer Science

SCALING DOWN THE ENERGY COST OF CONNECTING EVERYDAY OBJECTS TO THE INTERNET , Mohammad Rostami, Computer Science

Deep Learning Models for Irregularly Sampled and Incomplete Time Series , Satya Narayan Shukla, Computer Science

Traffic engineering in planet-scale cloud networks , Rachee Singh, Computer Science

Video Adaptation for High-Quality Content Delivery , Kevin Spiteri, Computer Science

Learning from Limited Labeled Data for Visual Recognition , Jong-Chyi Su, Computer Science

Human Mobility Monitoring using WiFi: Analysis, Modeling, and Applications , Amee Trivedi, Computer Science

Geometric Representation Learning , Luke Vilnis, Computer Science

Understanding of Visual Domains via the Lens of Natural Language , Chenyun Wu, Computer Science

Towards Practical Differentially Private Mechanism Design and Deployment , Dan Zhang, Computer Science

Audio-driven Character Animation , Yang Zhou, Computer Science

Dissertations from 2020 2020

Noise-Aware Inference for Differential Privacy , Garrett Bernstein, Computer Science

Motion Segmentation - Segmentation of Independently Moving Objects in Video , Pia Katalin Bideau, Computer Science

An Empirical Assessment of the Effectiveness of Deception for Cyber Defense , Kimberly J. Ferguson-Walter, Computer Science

Integrating Recognition and Decision Making to Close the Interaction Loop for Autonomous Systems , Richard Freedman, Computer Science

Improving Reinforcement Learning Techniques by Leveraging Prior Experience , Francisco M. Garcia, Computer Science

Optimization and Training of Generational Garbage Collectors , Nicholas Jacek, Computer Science

Understanding the Dynamic Visual World: From Motion to Semantics , Huaizu Jiang, Computer Science

Improving Face Clustering in Videos , SouYoung Jin, Computer Science

Reasoning About User Feedback Under Identity Uncertainty in Knowledge Base Construction , Ariel Kobren, Computer Science

Learning Latent Characteristics of Data and Models using Item Response Theory , John P. Lalor, Computer Science

Higher-Order Representations for Visual Recognition , Tsung-Yu Lin, Computer Science

Learning from Irregularly-Sampled Time Series , Steven Cheng-Xian Li, Computer Science

Dynamic Composition of Functions for Modular Learning , Clemens GB Rosenbaum, Computer Science

Improving Visual Recognition With Unlabeled Data , Aruni Roy Chowdhury, Computer Science

Deep Neural Networks for 3D Processing and High-Dimensional Filtering , Hang Su, Computer Science

Towards Optimized Traffic Provisioning and Adaptive Cache Management for Content Delivery , Aditya Sundarrajan, Computer Science

The Limits of Location Privacy in Mobile Devices , Keen Yuun Sung, Computer Science

ALGORITHMS FOR MASSIVE, EXPENSIVE, OR OTHERWISE INCONVENIENT GRAPHS , David Tench, Computer Science

System Design for Digital Experimentation and Explanation Generation , Emma Tosch, Computer Science

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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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The Dissertation

• Continuing to Part III

The dissertation should be written for a technically competent reader who is not necessarily familiar with the particular aspects of Computer Science involved. Better grades will arise from clarity and ease of reading, good pictures, clear explanation, minimal jargon and appropriate use of equations. Writing a dissertation requires planning and time. You should allow at least four weeks for the task.

Dissertation PDF files must be

• formatted for A4 paper;
• Typeset in 12-point font with a minimum of 2 cm margins;
• less than 15 megabytes in size;
• (ideally) use embedded fonts.

The main body of the dissertation, running from the first page of the introduction until the last page of the conclusions, shall not exceed 40 pages nor exceed 12,000 words in length (including tables and footnotes). Students should ensure the main body of their dissertation (page 3 onwards) as well as any appendices do not contain direct personal identifiers (i.e. their name or their CRSID).

Examiners and Assessors are permitted to judge your work only through study of your dissertation, although they will require your original source code to be available for them to refer to in cases where clarification is needed.

To facilitate the assessment process, the Examiners require the top-level structure of the dissertation to be strictly as follows:

Declaration of originality

Table of contents.

• Chapter 1: Introduction
• Chapter 2: Preparation
• Chapter 3: Implementation
• Chapter 4: Evaluation
• Chapter 5: Conclusions

Bibliography

Project proposal.

It is not the intention of the Examiners to constrain writers too greatly. Although the layout of the Cover Sheet and the arrangement of the Proforma are tightly specified, the organisation and length of each of the five chapters are allowed to vary considerably from one dissertation to another. Further details are given below.

The cover page

The single cover page contains

• Your Name, in the extreme top right-hand corner . 
• The Title of your Dissertation.
• The Examination for which you are a candidate.
• Your College and the Year in which you are submitting the Dissertation.

Your project title must be the same as the title approved by your Project Checkers on your project proposal.  If you want to change the title you should first discuss this with your supervisor.  If your supervisor is in agreement you will need to request a change by contacting the Teaching Administration Manager with a brief explanation for the reasons behind the change ([email protected]).  This will be approved by the Teaching Administration Manager and Chair of Examiners.

All dissertations must include an anti-plagiarism declaration immediately before the Proforma. The declaration must have exactly the following syntax:

I, [Name] of [College], being a candidate for Part II of the Computer Science Tripos, hereby declare that this dissertation and the work described in it are my own work, unaided except as may be specified below, and that the dissertation does not contain material that has already been used to any substantial extent for a comparable purpose. [In preparation of this dissertation I did not use text from AI-assisted platforms generating natural language answers to user queries, including but not limited to ChatGPT. / The project required the use of AI-assisted platform [name] in section [number], and such use is acknowledged in the text.] (use either of these sentences as appropriate) [I am content for my dissertation to be made available to the students and staff of the University.]

Signed [signature]

Date [date]

Further guidance relating to the use of AI-assisted tools can be found on the exams guidance web page .

You may either include a scanned copy of your signature or type your full name in place of a handwritten signature.

The University drafted the wording, which is similar to that relating to dissertations in a wide range of subjects; thus the "unaided except as may be specified below" clause merits some explanation:

• The clause does not require acknowledgement of the project supervision or informal conversations with peers.
• The clause is also intended to cover collaborative projects which are not now permitted in Computer Science. As such this aspect is irrelevant to Computer Science dissertations.
• This clause aside, and notwithstanding 1 and 2, candidates are required to draw attention, in the Implementation chapter, to the parts of the work which are not their own, in accordance with the Implementation section below. Other acknowledgements should be given wherever appropriate.

The Department would like past dissertations to be made available for teaching purposes and for your references. These will be accessed on the Computer Science departmental website under Raven password protection. You should include the last sentence of the declaration if you are willing for your dissertation to be accessed for these purposes; otherwise you may remove it.  Note: If in the future you would like your dissertation removed from the departmental website, you can request this by contacting the Student Admin office at [email protected].

The proforma page

The single proforma page is a preface that immediately follows the declaration of originality. The proforma page, as well as all subsequent pages of the dissertation should not include direct personal identifiers such as your name or CRSID. The Proforma must be arranged thus:

• Your candidate number.
• The Title of your Project.
• The Examination and Year.
• Word-count for the dissertation.
• Code line count: Number of lines of code written by the student in the final version of their software.
• Project Originator (if this is the student please state 'The candidate').
• Project Supervisor.
• At most 100 words describing the original aims of the project.
• At most 100 words summarising the work completed.
• At most 100 words describing any special difficulties that you faced. (In most cases the special difficulties entry will say "None".)

It is quite in order for the Proforma to point out how ambitious the original aims were and how the work completed represents the triumphant consequence of considerable effort against a background of unpredictable disasters. The substantiation of these claims will follow in the rest of the dissertation.

Student Administration will ask students to resubmit any dissertation which does not include the relevant cover page, declaration and proforma. If such a resubmission occurs after the deadline this will result in a late submission penalty.

This should list the contents in some sensible way.

Introduction

The introduction should explain the principal motivation for the project and show how the work fits into the broad area of surrounding computer science and give a brief survey of previous related work. It should generally be unnecessary to quote at length from technical papers or textbooks. If a simple bibliographic reference is insufficient, consign any lengthy quotation to an appendix.

Principally, this chapter should describe the work which was undertaken before code was written, hardware built or theories worked on. It should show how the project proposal was further refined and clarified, so that the implementation stage could go smoothly rather than by trial and error.

Throughout this chapter and indeed the whole dissertation, it is essential to demonstrate that a proper professional approach was employed.

The nature of this chapter will vary greatly from one dissertation to another but, underlining the professional approach, this chapter will very likely include a section headed "Requirements Analysis" and refer to appropriate software engineering techniques used in the dissertation. The chapter will also cite any new programming languages and systems which had to be learnt and will mention complicated theories or algorithms which required understanding.

It is essential to declare the starting point. This states any existing codebase or materials that your project builds on. The text here can commonly be identical to the text in your proposal, but it may enlarge on it or report variations. For instance, the true starting point may have turned out to be different from that declared in the proposal and such discrepancies must be explained.

Implementation

This chapter should describe what was actually produced: the programs which were written, the hardware which was built or the theory which was developed. Any design strategies that looked ahead to the testing stage should be described in order to demonstrate a professional approach was taken.

Descriptions of programs may include fragments of high-level code but large chunks of code are usually best left to appendices or omitted altogether. Analogous advice applies to circuit diagrams or detailed steps in a machine-checked proof.

The implementation chapter should include a section labelled "Repository Overview". The repository overview should be around one page in length and should describe the high-level structure of the source code found in your source code repository. It should describe whether the code was written from scratch or if it built on an existing project or tutorial. Making effective use of powerful tools and pre-existing code is often laudable, and will count to your credit if properly reported. Nevertheless, as in the rest of the dissertation, it is essential to draw attention to the parts of the work which are not your own. 

It should not be necessary to give a day-by-day account of the progress of the work but major milestones may sometimes be highlighted with advantage.

This is where Assessors will be looking for signs of success and for evidence of thorough and systematic evaluation. Sample output, tables of timings and photographs of workstation screens, oscilloscope traces or circuit boards may be included. Care should be employed to take a professional approach throughout. For example, a graph that does not indicate confidence intervals will generally leave a professional scientist with a negative impression. As with code, voluminous examples of sample output are usually best left to appendices or omitted altogether.

There are some obvious questions which this chapter will address. How many of the original goals were achieved? Were they proved to have been achieved? Did the program, hardware, or theory really work?

Assessors are well aware that large programs will very likely include some residual bugs. It should always be possible to demonstrate that a program works in simple cases and it is instructive to demonstrate how close it is to working in a really ambitious case.

Conclusions

This chapter is likely to be very short and it may well refer back to the Introduction. It might offer a reflection on the lessons learned and explain how you would have planned the project if starting again with the benefit of hindsight.

It is common, but not mandatory, to have a bibliography. Attention should be given to correct and consistent formatting.

It is common, but not mandatory, to have one or more appendices. Assessors like to see some sample code or example circuit diagrams, and appendices are the sensible places to include such items. Accordingly, software and hardware projects should incorporate appropriate appendices. Note that the 12,000 word limit does not include material in the appendices, but only in extremely unusual circumstances may appendices exceed 10-15 pages. If you feel that such unusual circumstances might apply to you you should ask your Director of Studies and Supervisor to discuss this with the Chairman of Examiners. Appendices should appear between the bibliography and the project proposal.

An index is optional.

A copy of the original project proposal must be included at the very end of the dissertation.

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MIT Libraries home DSpace@MIT

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This collection of MIT Theses in DSpace contains selected theses and dissertations from all MIT departments. Please note that this is NOT a complete collection of MIT theses. To search all MIT theses, use MIT Libraries' catalog .

MIT's DSpace contains more than 58,000 theses completed at MIT dating as far back as the mid 1800's. Theses in this collection have been scanned by the MIT Libraries or submitted in electronic format by thesis authors. Since 2004 all new Masters and Ph.D. theses are scanned and added to this collection after degrees are awarded.

MIT Theses are openly available to all readers. Please share how this access affects or benefits you. Your story matters.

If you have questions about MIT theses in DSpace, [email protected] . See also Access & Availability Questions or About MIT Theses in DSpace .

If you are a recent MIT graduate, your thesis will be added to DSpace within 3-6 months after your graduation date. Please email [email protected] with any questions.

Permissions

MIT Theses may be protected by copyright. Please refer to the MIT Libraries Permissions Policy for permission information. Note that the copyright holder for most MIT theses is identified on the title page of the thesis.

Theses by Department

• Comparative Media Studies
• Computation for Design and Optimization
• Computational and Systems Biology
• Department of Aeronautics and Astronautics
• Department of Architecture
• Department of Biological Engineering
• Department of Biology
• Department of Brain and Cognitive Sciences
• Department of Chemical Engineering
• Department of Chemistry
• Department of Civil and Environmental Engineering
• Department of Earth, Atmospheric, and Planetary Sciences
• Department of Economics
• Department of Electrical Engineering and Computer Sciences
• Department of Humanities
• Department of Linguistics and Philosophy
• Department of Materials Science and Engineering
• Department of Mathematics
• Department of Mechanical Engineering
• Department of Nuclear Science and Engineering
• Department of Ocean Engineering
• Department of Physics
• Department of Political Science
• Department of Urban Studies and Planning
• Engineering Systems Division
• Harvard-MIT Program of Health Sciences and Technology
• Institute for Data, Systems, and Society
• Media Arts & Sciences
• Operations Research Center
• Program in Real Estate Development
• Program in Writing and Humanistic Studies
• Science, Technology & Society
• Science Writing
• Sloan School of Management
• Supply Chain Management
• System Design & Management
• Technology and Policy Program

Collections in this community

Doctoral theses, graduate theses, undergraduate theses, recent submissions.

L-dopa metabolism and the regulation of brain polysome aggregation 

The North-Eastern Fishery question since 1886, a record of diplomatic relations 

Metal complexes as models for vitamin B₆ catalysis 

Welcome to the on-line version of the UNC dissertation proposal collection. The purpose of this collection is to provide examples of proposals for those of you who are thinking of writing a proposal of your own. I hope that this on-line collection proves to be more difficult to misplace than the physical collection that periodically disappears. If you are preparing to write a proposal you should make a point of reading the excellent document The Path to the Ph.D., written by James Coggins. It includes advice about selecting a topic, preparing a proposal, taking your oral exam and finishing your dissertation. It also includes accounts by many people about the process that each of them went through to find a thesis topic. Adding to the Collection This collection of proposals becomes more useful with each new proposal that is added. If you have an accepted proposal, please help by including it in this collection. You may notice that the bulk of the proposals currently in this collection are in the area of computer graphics. This is an artifact of me knowing more computer graphics folks to pester for their proposals. Add your non-graphics proposal to the collection and help remedy this imbalance! There are only two requirements for a UNC proposal to be added to this collection. The first requirement is that your proposal must be completely approved by your committee. If we adhere to this, then each proposal in the collection serves as an example of a document that five faculty members have signed off on. The second requirement is that you supply, as best you can, exactly the document that your committee approved. While reading over my own proposal I winced at a few of the things that I had written. I resisted the temptation to change the document, however, because this collection should truely reflect what an accepted thesis proposal looks like. Note that there is no requirement that the author has finished his/her Ph.D. Several of the proposals in the collection were written by people who, as of this writing, are still working on their dissertation. This is fine! I encourage people to submit their proposals in any form they wish. Perhaps the most useful forms at the present are Postscript and HTML, but this may not always be so. Greg Coombe has generously provided LaTeX thesis style files , which, he says, conform to the 2004-2005 stlye requirements.

Many thanks to everyone who contributed to this collection!

Greg Coombe, "Incremental Construction of Surface Light Fields" in PDF . Karl Hillesland, "Image-Based Modelling Using Nonlinear Function Fitting on a Stream Architecture" in PDF . Martin Isenburg, "Compressing, Streaming, and Processing of Large Polygon Meshes" in PDF . Ajith Mascarenhas, "A Topological Framework for Visualizing Time-varying Volumetric Datasets" in PDF . Josh Steinhurst, "Practical Photon Mapping in Hardware" in PDF . Ronald Azuma, "Predictive Tracking for Head-Mounted Displays," in Postscript Mike Bajura, "Virtual Reality Meets Computer Vision," in Postscript David Ellsworth, "Polygon Rendering for Interactive Scientific Visualization on Multicomputers," in Postscript Richard Holloway, "A Systems-Engineering Study of the Registration Errors in a Virtual-Environment System for Cranio-Facial Surgery Planning," in Postscript Victoria Interrante, "Uses of Shading Techniques, Artistic Devices and Interaction to Improve the Visual Understanding of Multiple Interpenetrating Volume Data Sets," in Postscript Mark Mine, "Modeling From Within: A Proposal for the Investigation of Modeling Within the Immersive Environment" in Postscript Steve Molnar, "High-Speed Rendering using Scan-Line Image Composition," in Postscript Carl Mueller, " High-Performance Rendering via the Sort-First Architecture ," in Postscript Ulrich Neumann, "Direct Volume Rendering on Multicomputers," in Postscript Marc Olano, "Programmability in an Interactive Graphics Pipeline," in Postscript Krish Ponamgi, "Collision Detection for Interactive Environments and Simulations," in Postscript Russell Taylor, "Nanomanipulator Proposal," in Postscript Greg Turk, " Generating Textures on Arbitrary Surfaces ," in HTML and Postscript Terry Yoo, " Statistical Control of Nonlinear Diffusion ," in Postscript

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Home > College, Department, or Program > CSTEM > Computer Science > Theses

Computer Science Masters Thesis Collection

Theses/dissertations from 2023 2023.

A hierarchical approach to improve the ant colony optimization algorith , Bryan J. Fischer

From Tic-tac-toe to AlphaGo: a survey of algorithms used in various games , Mathew T. Godon

Temporally consistent FastDVDNet: an overlap loss implementation for FastDVDNet , Michael J. Henderson

Multimodal game-based learning in Post-Secondary Education , Nathan A. Vanos

Theses/Dissertations from 2022 2022

Towards Cloud-Based cost-effective serverless information system , Isaac C. Angle

Modeling document classification to automate mental health diagnosis , William M. Tadlock

Theses/Dissertations from 2021 2021

Password-less two-factor authentication using scannable barcodes on a mobile device , Grant M. Callant II

Intrusion detection for industrial control systems , Kurt Lamon

Theses/Dissertations from 2020 2020

Data entry voice assistant for healthcare providers , Sajad Hussain M Alhamada

Comparison of the tally numbering system to traditional arithmetic systems in field programmable gate arrays , Robert Paul Shredow

Using Blockchain for Digital Card Game , Raymond A. Swannack

Theses/Dissertations from 2019 2019

Relaxed mental state detection using the Emotiv Epoc and Adaptive Threshold Algorithms , Olin L. Anderson

Detecting and mapping real-time Influenza-like illness using Twitter stream data , Elisha D. Brunette

The application of cloud resources to terrain data visualization , Gregory J. Larrick

Theses/Dissertations from 2018 2018

A practical and efficient algorithm for the k-mismatch shortest unique substring finding problem , Daniel Robert Allen

DETERMINING VULNERABILITY USING ATTACK GRAPHS: AN EXPANSION OF THE CURRENT FAIR MODEL , Beth M. Anderson

The application of GPU to molecular communication studies , Tobias J. Cain

Improving Aerial Package Delivery Through Simulation of Hazard Detection, Mapping, and Regulatory Compliance , Kevin Chumbley

GPU accelerated risk quantification , Forrest L. Ireland

Evaluating a Cluster of Low-Power ARM64 Single-Board Computers with MapReduce , Daniel McDermott

Glyph based segmentation of Chinese calligraphy characters in the "Collected Characters" stele. , David A. McInnis

Theses/Dissertations from 2017 2017

CLOUD LIVE VIDEO TRANSFER , Ryan Babcock

GENE EXPRESSION PROSPECTIVE SIMULATION AND ANALYSIS USING DATA MINING AND IMMERSIVE VIRTUAL REALITY VISUALIZATION , Joshua Cotes

Theses/Dissertations from 2016 2016

Near real-time early cancer detection using a graphics processing unit , Jason Helms

Analysis of algorithms to create profitable trades in the stock market , Nicholas P. Klinger

Dynamically parallel CAMSHIFT: GPU accelerated object tracking in digital video , Matthew J. Perry

USING CONVOLUTIONAL NEURAL NETWORKS FOR FINE GRAINED IMAGECLASSIFICATION OF ACUTE LYMPHOBLASTIC LEUKEMIA , Richard K. Sipes

Character extraction from ancient Chinese stele using discrete cosine transform , Toshiaki Ueno

Theses/Dissertations from 2015 2015

ECS: Educational Communication System , Nasmah Alnaimi

The geo-secure system: a secure system for data access based on geographical data , Fawaz J. Alruwaili

Heartbeat location assistance for electrocardiograms , Sarah Bass

Indirect association rule mining for crime data analysis , Riley Englin

Modeling and rendering of fluid flows using the Lennard-Jones potential , Nicholas J. LeFave

Multi-drug association rule mining on graphics processing unit , Jesse Scholer

Theses/Dissertations from 2014 2014

A study of kNN using ICU multivariate time series data , Admir Djulovic

Artificial Frequency Match Neuron Implemented with Digital Logic , David J. Ellis

Bridging the detection gap: a study on a behavior-based approach using malware techniques , Geancarlo Palavicini

3D Image Acquisition System for Facial Recognition , James E. Pearson

Divide and Conquer G-Buffer Ray Tracing , Daniel Stokes

Improving the performance of skeletal mesh animations in the Blender game engine , Mitchell Stokes

MINING MULTI-GRANULAR MULTIVARIATE MEDICAL MEASUREMENTS , Conrad Sykes

Theses/Dissertations from 2013 2013

Alsafeer software for teaching computer literacy , Zieb Rabie Alqahtani

Wireless electronic scoring of kendo competition matches using an embedded system , Edward B. Hogan

Using phishing to test social engineering awareness of financial employees , Rebecca M. Long

GPU ray tracing with CUDA , Thomas A. Pitkin

Ray traced rendering using GPGPU devices , Coby Soss

Theses/Dissertations from 2012 2012

Windows security sandbox framework , Kyle P. Gwinnup

Micro unmanned aerial vehicle video surveillance platform quadrocopter aircraft , Michael John Skadan

WiFiPoz -- an accurate indoor positioning system , Xiaoyi Ye

SSVEP-based brain computer interface using the Emotiv EPOC , Brian J. Zier

Theses/Dissertations from 2010 2010

Bittorrent vulnerable to layer-7 packet injection , Stephen L. Heath

Masquerade detection using fortified naive Bayes , Eric Salsbury

Theses/Dissertations from 2009 2009

Raising security awareness among higher education recipients , Chun-I Lin

On refactoring , Kaleb P. Pederson

Word prediction in assistive technologies for Aphasia rehabilitation in using Systemic Functional Grammar , Christopher T. Sorna

Novel visualization scheme for reasoning with uncertainty , Kyle A. Springer

Theses/Dissertations from 2008 2008

Tor latency attach verification and analysis , Ronnie Hoeflin

GPU programming: developing realistic water effects with OpenGL and GLSL , Joshua G. Slider

Theses/Dissertations from 2006 2006

Visualization of logic programming , Michael D. Henry

Theses/Dissertations from 2005 2005

Construction of efficient indexes from Fuzzy Clusters: preliminary study , Sean M. Drexler

Navigation agents and traffic simulation , Bart Hunking

Web-based fuzzy expert system: EWU optimal advisor , Nasser A. Rafi

Theses/Dissertations from 2003 2003

Intrusion detection, intelligent agents, and soft computing , Patrick Miller

Source code security analysis and fuzzy logic , Alexander Moskalyuk

Theses/Dissertations from 2002 2002

Support vector machines, N-gram kernels, and text classification , John Mill

Theses/Dissertations from 2001 2001

Solid object model advanced operations , Robert L. Throop

Theses/Dissertations from 2000 2000

Interactive 3D model display in Java 3D , Keqiu Chen

Theses/Dissertations from 1998 1998

Subdivision, and rfefinement of non-uniform rational B-spline curves and surfaces in 3-D , Bill E. La Rue

Theses/Dissertations from 1995 1995

A transputer based prototype for a fuzzy logic controller with tuning and simulation capabilities , Marshall Ryan Weddle

Theses/Dissertations from 1994 1994

Visualizing medical data using direct volume rendering , Bryce R. Hein

Industrial control via a state language implementation on the transputer architecture , Ted Preston VanderWeyst

A cellular method for modeling solid features in volume data , Jeff Wolkenhauer

Theses/Dissertations from 1993 1993

Hybrid coding with enhanced RDC and Huffman compression algorithms , Wilhelm J. Jenner

Implementation of a digital control system analysis program using the z-transform , Kristine L. Rudin

Subtyping and inheritance in a metamodel of abstractions , Gavin Vess

Theses/Dissertations from 1992 1992

Left ventricular boundary detection in digitized cardiac images , Albertine L. Marie Alm

High level user interface for a parallel operating system , Terry Conkright

Hybrid dictionary/statistical text compression algorithms , Michael E. Piotrowski

A study of using backpropagation and a new neural net algorithm for edge detecting in binary images , Jun Tian

Theses/Dissertations from 1990 1990

Visual parallel programming via petri nets , David Glenn Passey

Theses/Dissertations from 1988 1988

An iconic approach to parallel design , Elizabeth Stevens

Theses/Dissertations from 1986 1986

Conversion form structured programming to an object-oriented programming structure , Daryl Edward Krauter

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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 2024 2024.

Cultural Awareness Application , Bharat Gupta

AUTOMATED BRAIN TUMOR CLASSIFIER WITH DEEP LEARNING , venkata sai krishna chaitanya kandula

A SMART HYBRID ENHANCED RECOMMENDATION AND PERSONALIZATION ALGORITHM USING MACHINE LEARNING , Aswin Kumar Nalluri

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

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Completed Doctoral Theses

Below you will find all doctoral theses that have been published on mediaTUM , TUM's publication server, since 2013.

Note: This “quick search” only finds text in the shown fields, not in abstracts or keywords. The search term must have at least 3 letters.

• Bandle, Maximilian: Efficient Data Processing on Modern Hardware. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• Biloš, Marin: Machine Learning for Irregularly-Sampled Time Series. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• Charpentier, Bertrand P. A. H.: Uncertainty Estimation for Independent and Non-Independent Data. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• Chen, Zhenyu: Grounding Natural Language to 3D Scenes. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• Durner, Dominik: High-Performance Query Processing in the Cloud. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• Farshad, Azade: Learning to Learn Neural Representations with Limited Data and Supervision. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• Fent, Philipp: Low Latency Query Planning and Processing in Database Systems. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• Gallersdörfer, Ulrich Simon Stefan: Public Key Infrastructures and Blockchain Systems – Utilizing Internet Public Key Infrastructures to Leverage Their Trust and Adoption in Blockchain Systems. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• Heidekrüger, Stefan: Learning Continuous and Pure Bayes-Nash Equilibria in Sealed-Bid Auctions. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• Krenz, Lukas Daniel Sidney: A Fully Coupled Model for Petascale Earthquake-Tsunami and Earthquake-Sound Simulations. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• Lang, Harald: Query Processing on Modern Hardware. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• Lederer, Patrick: Strategic Manipulation in Social Choice Theory. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• Lingg, Jakob Gerhard Peter: Shortwave-infrared Line-Scanning Confocal Microscope for Deep Tissue Imaging. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• Makarov, Sergei Olegovich: Development and Implementation of a Generalized Multi-Ion Transport Model in Plasma Edge Fluid Codes. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• Sichert, Moritz-Felipe: Efficient and Safe Integration of User-Defined Operators into Modern Database Systems. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• Yu, Kevin: Advanced 3D UI for Immersive AR/VR Medical Teleconsultation. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• de la Rosa, Ezequiel: Machine Learning Characterization of Vascular Functions in Stroke Perfusion Imaging. Dissertation, 2024 more… BibTeX Full text (mediaTUM)
• Artigues, Victor Maria Allan: Multi-Class and Cross-Tokamak Disruption Prediction using Shapelet-Based Neural Networks. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Azinović, Dejan: Inverse Rendering for Geometry and Material Reconstruction. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Bdair, Tariq Mousa Ahmad: Annotation-Efficient Medical Imaging with Deep Learning. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Bernhofer, Michael: Evolution of Transmembrane Protein Prediction. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Bullinger, Martin: Computing Desirable Outcomes in Coalition Formation. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Burwinkel, Hendrik: Deep Learning based Clinical Decision Support through Strong Differentiable Domain Priors. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Böttcher, Jan D.: Scalable Concurrency Control Methods for Modern Database Systems. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Czempiel, Tobias M.: Symphony of Time: Temporal Deep Learning for Surgical Activity Recognition. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Dendorfer, Patrick: Deep Learning for Human Motion: Advancing Trajectory Prediction and Multi-Object Tracking. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Denninger, Maximilian: Persistent Learning for Semantic Indoor Mapping in Dynamic Environments. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Eilers, Christine: Intelligent, Applicable and Acceptable Robotic Ultrasound. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Elsner, Daniel Valentin: Integrating System and Process Characteristics into Regression Test Optimization. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Engelmann, Severin Karl David: Understanding the Legitimacy of Digital Socio-Technical Classification Systems. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Fichtl, Maximilian: Algorithms for Computing Equilibria in Auctions. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Freitag, Michael Johannes: Building an HTAP Database System for Modern Hardware. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Gasteiger, Johannes: On the Convergence of Structure and Geometry in Graph Neural Networks. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Hagerer, Gerhard Johann: Opinion Mining for Qualitative Content Studies. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Hariharan, Sai Gokul: Novel Analytical and Learning-based Image Processing Techniques for Dose Reduction in Interventional X-ray Imaging. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Hauffa, Jan Lukas: Topic-Driven Characterization of Social Relationships for the Analysis of Social Influence. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Helfrich, Martin: Efficient Analysis of Population Protocols and Chemical Reaction Networks. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Isychev, Anastasia: Improving Analysis and Optimization of Finite-Precision Programs. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Khakzar, Ashkan: Rethinking Feature Attribution for Neural Network Explanation. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Kohn, André: Efficient Analytical Workflows for Computational Database Systems. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Kurle, Richard: Variational Bayes for Continual Learning and Time-Series Forecasting. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Li, Hongwei: Efficient and Cross-Domain Deep Learning for Advanced Neuroimage Analysis. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Li, Ling: Genetic investigation of coronary artery disease by Mendelian randomization and transcriptome-wide association studies. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Munjal, Bharti: Fine-grained Object Recognition with Fewer Labels: From Person Search to Few-shot Classification & Multi-object Tracking. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Palmas, Fabrizio: The Impact of Gamification on Corporate Extended Reality Training. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Petrovska, Ana: On Engineering Self-Adaptive Cyber-Physical Systems. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Prantl, Lukas: Deep Learning Methods for Simulation of Liquids. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Salpisti, Despoina: Procedural Generation of Virtual Environments as Context for Mixed Reality Experiences in the Automotive Design. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Savkin, Artem: Synthetic Data for Perception in Autonomous Driving. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Schmid, Katharina Theresia: Computational methods for design and analysis of population-based multiomics studies. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Schmidt, Tabea Ruth Jasmin: Testing the Safe Behavior of Unmanned Aerial Vehicles with Scenario-Based Testing. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Schnappinger, Markus: On Machine Learning Assisted Software Maintainability Assessments. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Seibold, Matthias Robert: Deep Learning-based Acoustic Sensing for Medical Applications. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Shugurov, Ivan: 6 DoF Pose Estimation of Known and Novel Objects With Dense Correspondences. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Swazinna, Phillip A.: Policy Regularization for Model-Based Offline Reinforcement Learning. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Thiel, Kevin Kennard: Automated Creation, Evaluation and Configuration of Markerless Object Tracking for Superimposed Augmented Reality. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Tirindelli, Maria: Physics-Inspired Machine Intelligence for Robotic Ultrasound Imaging. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Tomczak, Agnieszka Maria: Deep learning for blood cell image analysis. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Ulbl, Philipp: Collision Models for Gyrokinetic Simulations of Edge Turbulence in Fusion Plasmas. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Vestner, Matthias: Deformable Shape Correspondence Using Pointwise and Pairwise Features. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Vogel, Lukas: Adaptive Storage Structures. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Wang, Junpeng: Trajectory-based Stress Tensor Visualization and its Application in Structural Design and Optimization. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Wang, Yida: Learning-based Single View 3D Completion. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Weber, Sandro: Embodiment in Virtual and Mixed Environments. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Weil-Kennedy, Chana Yvonne Marie: Observation Petri Nets. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Wenzel, Patrick M.: Deep Learning Methods for Vehicle Localization and Control under Challenging Conditions. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Winter, Christian Michael: Managing Dynamic Workloads in Relational Database Systems. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Xie, You: Temporally Coherent Video Generation with Generative Adversarial Networks. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Yilmaz, Fatih: Application and Development of Business Capability Maps in Horizontal Collaborations. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Yu, Hao: Correspondence Estimation through Descriptor Learning for Point Cloud Registration. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Zhou, Qunjie: Deep Learning Meets Visual Localization. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• von Stumberg, Lukas Michael: Optimization- and Learning-Based Approaches to Visual SLAM and Relocalization. Dissertation, 2023 more… BibTeX Full text (mediaTUM)
• Arnout, Hiba: Generative Adversarial Networks for Time Series Generation and Translation. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Avetisyan, Armen: CAD Model Retrieval and Alignment in 3D Scans. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Bayat, Amirhossein: Image Based Personalized Bone Therapy Planning using Deep Learning. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Bergmann, Paul: Unsupervised Anomaly Detection and Localization for Visual Quality Inspection. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Bernius, Jan Philip: Automatic Assessment of Textual Exercises. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Body, Thomas Alfred John: Development of Turbulence Simulations for the Edge & Divertor and Validation against Experiment. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Brunner, Julian M.: Formal Verification of Algorithms for Automata and Model Checking. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Capobianco, Nicolò: Radiotracer uptake classification using deep learning for evaluation of image-derived cancer biomarkers in PET/CT. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Chiotellis, Ioannis Nektarios: Autonomous Learning for Machine Perception. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Dhamo, Helisa: Scene Understanding and Decomposition for Synthesis and Editing. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Dürrwang, Jürgen: Steigerung der Betriebssicherheit von Personenkraftwagen durch Bedrohungsanalysen für die Informationssicherheit. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Eckl, Alexander: Online Algorithms for Scheduling with Testing. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Eder, Johannes David: Automatic Exploration of Automotive E/E Architectures. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Frerix, Thomas: From Numerical Optimization to Deep Learning and Back. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Gödel, Marion: Systematic parameter analysis to reduce uncertainty in crowd simulations. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Heinzinger, Michael: How to Speak Protein? - Representation Learning for Protein Prediction. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Janke, Maximilian M.: Online Algorithms for Scheduling and Data Management. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Jiang, Zhongliang: Intelligent Robotic Sonography: Adaptive, Dynamic and Learning-Powered Image Acquisition. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Kacianka, Severin: Accountability for Cyber-Physical Systems. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Klepper, Simon Valentin Sebastian: Continuous Research & Development – Scientific Research as Decision Support for Continuous Software Engineering in Domains with High Uncertainty. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Lehmberg, Daniel: Operator-informed machine learning: Extracting geometry and dynamics from time series data. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Linder, Oliver: Self-consistent modeling of electron runaway in tokamak disruptions. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Martin Gomez, Alejandro: Perceptual Visualization for Object Alignment in Mixed Reality. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Michels, Dominik: Development of a high-performance gyrokinetic turbulence code for the edge and scrape-off layer of magnetic confinement fusion devices. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Moin, Armin: Enabling Data Analytics and Machine Learning in Model-Driven Software Engineering of Smart IoT Services. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Pipelidis, Georgios: On Indoor Localization and Indoor Mapping – A Deeper Look into Dynamic Mapping. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Quedenfeld, Jens: Algorithms for Energy Conservation in Data Centers. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Rannabauer, Leonhard Andreas: Earthquake and Tsunami Simulation with high-order ADER-DG methods. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Reimer, Lara Marie: Physical Activity Recognition Using Mobile Devices. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Reinbold, Christian: Efficient Measures for Processing and Exploring Large-Scale Data Domains. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Samfass, Philipp: Reactive Load Balancing and Resilience Techniques in Simulation Applications on Supercomputers. Dissertation, 2022 more… BibTeX
• Schmiedmayer, Paul: Designing Evolvable Web Services. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Schwarz, Gregor: Designing Large-Scale Auction Markets. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Schüle, Maximilian E.: Modern SQL for Knowledge Discovery and Dataset Versioning. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Shchur, Oleksandr: Modeling Continuous-time Event Data with Neural Temporal Point Processes. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Simson, Walter Arthur: Physics-Informed Deep Learning for Advanced Medical Ultrasound. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Soberanis Mukul, Roger David: Hybrid Convolutional and Graph-Convolutional Framework for Segmentation Refinement. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Sârbu, Paul-Cristian: Analysis and Performance Engineering for Learning with Sparse Grids. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Uludag, Ömer: Empirical Analysis of the Adoption of Large-Scale Agile Development Methods. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Vivar, Gerome: Towards Automated Clinical Diagnostic Decision Support using Machine Learning. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Wald, Johanna: 3D Scene Understanding of Static and Dynamic Indoor Environments. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Weininger, Maximilian Ph.: Solving Stochastic Games Reliably. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Weiss, Jakob Matthias: Intraoperative Visualization for OCT-Assisted Retinal Microsurgery. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Weiß, Sebastian Klaus: Deep Learning for Volume Visualization. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Zhuang, Qinyu: Non-intrusive Model Order Reduction based on Joint Space Sampling and Active Learning. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Zügner, Daniel: Adversarial Robustness of Graph Neural Networks. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• van Renen, Alexander: Persistent Memory in Database Systems. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• von Frankenberg und Ludwigsdorff, Nadine Katharina Victoria: Rationale Management for Event-Based Arbitration of Thermal Quality in Shared Spaces. Dissertation, 2022 more… BibTeX Full text (mediaTUM)
• Ahmadvand, Mohsen: Strengthened, Composable, and Quantifiable Software Integrity Protection. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Ashok, Pranav: A Learning Twist on Controllers: Synthesis via Partial Exploration and Concise Representations. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Azizi Koutenaei, Bamshad: Computer-Assisted Navigation Methods for Screw Placement in Slipped Capital Femoral Epiphysis Surgery. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Baur, Christoph: Anomaly Detection in Brain MRI: From Supervised to Unsupervised Deep Learning. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Bork, Felix Jonas: Interactive Augmented Reality for Student-Centered, Explorative, and Collaborative Human Gross Anatomy Education. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Braun, Daniel: Automated Semantic Analysis, Legal Assessment, and Summarization of Standard Form Contracts. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Bui, Linda Mai: Regression Optimization for Camera Localization. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Busam, Benjamin Emanuel: High Performance Visual Pose Computation. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Duarte Pinto de Almeida Matos, Francisco: Deep Learning for Tomography, State Classification and Event Detection in Nuclear Fusion Plasmas. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Eberl, Manuel: Asymptotic Reasoning in a Proof Assistant. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Follmann, Patrick Moritz: Few-Shot Object Detection in Industrial Applications – Training Accurate Models with Few Annotations. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Gallard, Jean-Matthieu: Template-based code generation for a customizable high-performance hyperbolic PDE engine. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Golkov, Vladimir: Deep learning and variational analysis for high-dimensional and geometric biomedical data. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Haslbeck, Maximilian Paul Louis: Verified Quantitative Analysis of Imperative Algorithms. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Hauer, Florian: On Scenario-Based Testing of Automated and Autonomous Driving Systems. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Hawe, Johann Sebastian: Deciphering regulatory molecular mechanisms using graphical models. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Hou, Ji: Learning Priors from RGB-D Data for 3D Scene Understanding. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Hu, Xiaobin: Deep Learning for Medical Image Analysis. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Huth, Dominik Martin: Development of a reference process model for GDPR compliance management based on enterprise architecture. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Ibrahim, Amjad: An Actual Causality Framework for Accountable Systems. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Jadid, Adnane: Multi-IMU: Multiple Inertial Measurement Unit Systems in Mixed Reality. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Jorde, Daniel Rene: Learning from Power: Machine Learning on Electrical Signals. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Kaiser, Markus: Structured Models with Gaussian Processes. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Kazi, Anees Babasaheb: Graph Deep Learning for Healthcare Applications. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Kersten, Timo: Optimizing Relational Query Engine Architecture for Modern Hardware. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Kleehaus, Martin: Model Management along the IT Value Chain in Microservice-based IT Landscapes. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Kleinmeier, Benedikt: Modeling of Behavioral Changes in Agent-Based Simulations – Bridging the gap between social and computer science by operationalizing psychological processes. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Klushyn, Alexej: Latent Matters – Amortised Variational Inference With Constrained Optimisation and Learnable Priors. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Koschi, Markus Matthias: Set-based Prediction of Traffic Participants and its Applications to Safe Motion Planning. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Künzner, Florian: Efficient non-intrusive uncertainty quantification for large-scale simulation scenarios. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Ladewig, Leon: Online Algorithms for Packing Problems in the Random-Order Model. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Laude, Emanuel: Lower Envelopes and Lifting for Structured Nonconvex Optimization. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Littmann, Maria: Prediction of Protein Function through Machine Learning. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Littmann, Richard: Pricing in Non-Convex Markets. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Lähner, Zorah: Continuous Correspondence of Non-Rigid 3D Shapes. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Löb, Rebekka: Challenges and opportunities in PET/MR image reconstruction. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Ma, Lingni: Semantic mapping and tracking with RGB-D cameras. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Manhardt, Fabian: Towards Monocular 6D Object Pose Estimation. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Meggendorfer, Tobias: Verification of Discrete-Time Markov Decision Processes. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Mertes, Christian: Improving the genetic diagnosis of Mendelian disorders via robust outlier detection methods for transcriptome sequencing. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Meyer, Philipp Klara Johanna: Constraint-based Analysis of Distributed Systems. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Mrowca, Artur: Specification Mining in High dimensional Heterogeneous Data Sets of Large-Scale Distributed Systems. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Naik, Hemal: XR For All: Closed-loop Visual Stimulation Techniques for Human and Non-Human Animals. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Obersteiner, Michael Johannes: A Spatially Adaptive and Massively Parallel Implementation of the Fault-Tolerant Combination Technique. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Pandey, Varun: Advancing Spatial Analytical Database Systems. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Paschali, Magdalini: Learning Robust Representations for Medical Diagnosis. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Pirkl, Carolin Martha Anna: Deep Learning for Fast and Robust Multiparametric Magnetic Resonance Imaging. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Plecher, David Alexander: Impacts of Serious Games for Cultural Heritage. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Pöppl, Alexander Ludwig: Evaluation of the Actor Model for the Parallelization of Block-Structured Adaptive HPC Applications. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Qiu, Jiajun: Sequence-based prediction reveals effect of protein-, DNA- RNA-binding residues on sequence variants. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Raith, Florian Christian: Natürliche Benutzerschnittstellen im Umfeld verteilter Projektarbeit. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Salem, Aleieldin: Accurate and Reliable Labeling for Effective Detection of Android Malware. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Seckler, Steffen: Algorithm and Performance Engineering for HPC Particle Simulations. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Shahvarani, Seyedamirhesam: Parallel In-memory Data Processing using Modern Hardware. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Xu, Han: Demo Engineering: Using Software Theater for Exploratory Projects. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
• Yépez Mora, Vicente A.: Improving and upscaling the diagnostics of genetic diseases via gene expression and functional assays. Dissertation, 2021 more… BibTeX Full text (mediaTUM)
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• Bytschkow, Denis: A generic hierarchic architecture for the coordination of energy management systems. Dissertation, 2020 more… BibTeX Full text (mediaTUM)
• Chu, Mengyu: Detail Synthesis for Fluids and Videos with Deep-Learning Algorithms. Dissertation, 2020 more… BibTeX Full text (mediaTUM)
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• Henze, Dominic: Dynamically Scalable Fog Architectures. Dissertation, 2020 more… BibTeX Full text (mediaTUM)
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• Dippon, Andreas: Natural Interaction in Multi-Device Environments. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
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• Meister, Oliver: Sierpinski Curves for Parallel Adaptive Mesh Refinement in Finite Element and Finite Volume Methods. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Mühlbauer, Tobias: On Scalable and Flexible Transaction and Query Processing in Main-Memory Database Systems. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Noschinski, Lars: Formalizing Graph Theory and Planarity Certificates. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Pankratz, Frieder: Augmented Reality for Augmented Reality. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Peters, Sebastian Matthias: MIBO – A Framework for the Integration of Multimodal Intuitive Controls in Smart Buildings. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Pölsterl, Sebastian Walter: Algorithms for Large-scale Learning from Heterogeneous Survival Data. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Resch, Christoph: Enhancing Projective Spatial Augmented Reality in Industry – A Model Based Approach for Registration and Calibration. Dissertation, 2016 more… BibTeX
• Rödiger, Wolf-Steffen: Scalable Distributed Query Processing in Parallel Main-Memory Database Systems. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Sayih, Marouane: Web Engineering mit XML-Technologien. Dissertation, 2016 more… BibTeX
• Schlund, Maximilian: Algebraic Systems of Fixpoint Equations over Semirings: Theory and Applications. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Schneider, Alexander W.: Decision Support for Application Landscape Diversity Management. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Schneider, Florian: URML: Towards Visual Negotiation of Complex System Requirements. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Schulte zu Berge, Christian Ulrich: Real-time Processing for Advanced Ultrasound Visualization. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Schulze, Florian: Conversational Context for Mobile Notification Management. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Seitz, Michael J.: Simulating pedestrian dynamics – Towards natural locomotion and psychological decision making. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Steidl, Daniela: Cost-Effective Quality Assurance For Long-Lived Software Using Automated Static Analysis. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Stühmer, Jan: A Convex Optimization Framework for Connectivity Constraints in Image Segmentation and 3D Reconstruction. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Uekermann, Benjamin Walter: Partitioned Fluid-Structure Interaction on Massively Parallel Systems. Dissertation, 2016 more… BibTeX Full text ( DOI ) Full text (mediaTUM)
• Unterweger, Kristof Gregor: High-Performance Coupling of Dynamically Adaptive Grids and Hyperbolic Equation Systems. Dissertation, 2016 more… BibTeX
• Vetter, Christoph: Accelerated Registration and Reconstruction for Functional Nuclear Imaging. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Vicedo Jover, Maria Esmeralda: Comprehensive analysis of intrinsically disordered protein content in organisms exposed to extreme ambient conditions. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Wagner, Martin Otto Werner: Gefahrenerkennung in Konfigurationen verteilter Systeme. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Wucherer, Patrick: Simulation in medical education – A novel full-scale immersive team-based simulation environment for objective performance assessment of surgical excellence. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Wüchner, Tobias: Behavior-based Malware Detection with Quantitative Data Flow Analysis. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• del Razo Sarmina, Jose Victor: Coordinated Electric Vehicle Charging in Residential and Highway Environments. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• von Sivers, Isabella Katharina Maximiliana: Modellierung sozialpsychologischer Faktoren in Personenstromsimulationen – Interpersonale Distanz und soziale Identitäten. Dissertation, 2016 more… BibTeX Full text (mediaTUM)
• Belagiannis, Vasileios: Human pose estimation in complex environments. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Beyene, Tewodros Awgichew: Temporal Program Verification and Synthesis as Horn Constraints Solving. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Breuer, Alexander Nikolas: High Performance Earthquake Simulations. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Buse, Gerrit: Exploiting Many-Core Architectures for Dimensionally Adaptive Sparse Grids. Dissertation, 2015 more… BibTeX
• Büchler, Matthias: Semi-Automatic Security Testing of Web Applications with Fault Models and Properties. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Campetelli, Alarico: An Approach for Hybrid Modelling and Formal Verification in FOCUS. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Chajdas, Matthäus Georg: A voxel-based visualization pipeline for high-resolution geometry. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Chen, Yuxiang: 3D Image Processing for Structural Analysis of Macromolecules Using Cryo-Electron Tomography. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Cheng, Xiaoyin: Improving Reconstruction of Dynamic PET Imaging by Utilizing Temporal Coherence and Pharmacokinetics. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Dany, Fabian: Zur Nutzerakzeptanz bei telemedizinischen Systemen. Dissertation, 2015 more… BibTeX
• Diebold, Julia: Convex Variational Methods for Semantic Image Analysis. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Duschl, Markus: Critical Assessment of Data Visualization from the Electronic Horizon in the Context of a Deceleration Assistance System. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Funke, Florian Andreas: Adaptive Physical Optimization in Hybrid OLTP & OLAP Main-Memory Database Systems. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Ganslmeier, Thomas: Framework für die Realisierung eines hybriden Gesamtsystems zur hardwareunabhängigen Entwicklung elektronischer Fahrzeugapplikationen. Dissertation, 2015 more… BibTeX
• Gubichev, Andrey: Query Processing and Optimization in Graph Databases. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Guzmán Ortega, Adriana Emitza: Mining User Reviews from Mobile Applications for Software Evolution. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Hariharan, Nitya: Enabling efficient simulations of radiative transfer with CRASH. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Hartl, Alexander: Computational modeling of detection physics for 3D intraoperative imaging with navigated nuclear probes. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Hecht, Maximilian: Prediction of functional effects for sequence variants. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Hennersperger, Christoph Ludwig: Domain-Specific Modeling for Vascular Freehand Ultrasound. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Herz, Alexander: Programming Language Design, Analysis and Implementation for Automated and Effective Program Parallelization. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Holzer, Stefan: Learning-based Approaches for Template Tracking and Interest Point Detection. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Kaden, Lars: Verifikation von Parameter-Identifikationsverfahren nichtlinearer Systeme am Beispiel eines physikalischen Reifenmodells. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Klügel, Niklas: Collaborative Music-Making with Interactive Tabletops. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Kumari, Prachi: Model-Based Policy Derivation for Usage Control. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Li, Yang: DRUMS: Domain-specific Requirements Modeling for Scientists. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Lovat, Enrico: Cross-layer Data-centric Usage Control. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Mihaila, Bogdan Andrei: Adaptable Static Analysis of Executables for proving the Absence of Vulnerabilities. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Oswald, Martin Ralf: Convex Variational Methods for Single-View and Space-Time Multi-View Reconstruction. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Pietzsch, Sylvia: Modellgestützte Sensordatenfusion von Laserscanner und Radar zur Erfassung komplexer Fahrzeugumgebungen. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Rautenhaus, Marc: Interactive 3D visualization of ensemble weather forecasts. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Reichl, Florian: Interactive Sample-Based Rendering of High-Resolution Data Sets. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Röhm, Tobias: The MALTASE Framework For Usage-Aware Software Evolution. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Schröder, Manuel: Development of a Birth Prediction Model Using Virtual Delivery Simulation. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Schweiger, Benno Maximilian: Enhancing In-Car Prediction by Car2X Communication. Dissertation, 2015 more… BibTeX
• Seedig, Hans Georg: Majority Relations and Tournament Solutions – A Computational Study. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Sirtl, Holger Norbert: Integrierter Prozess zu Entwurf und Bewertung einer Cloud-basierten Softwarearchitektur. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Spanfelner, Bernd: Specification and analysis of adaptive systems. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Spieckermann, Sigurd: Multi-Task and Transfer Learning with Recurrent Neural Networks. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Strekalovskiy, Evgeny: Convex Relaxation of Variational Models with Applications in Image Analysis. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Traytel, Dmytro: Formalizing Symbolic Decision Procedures for Regular Languages. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Vogel, Jakob: Tomographic Reconstruction beyond Classical X-ray CT. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Vogelsang, Andreas: Model-based Requirements Engineering for Multifunctional Systems. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Weihmann, Jeremias: Generalized Petri Nets: Algorithms and Complexity. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Wieland, Thomas: Next-Generation Sequencing Data Analysis. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Wolke, Andreas: Energy efficient capacity management in virtualized data centers. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Yachdav, Guy: Frameworks for Large Scale Annotation of Proteins, Proteomes and Meta-proteomes. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Yigitsoy, Mehmet: Local and Global Consistency Measures in Intensity-based Medical Image Registration. Dissertation, 2015 more… BibTeX Full text (mediaTUM)
• Pagano, Dennis: Portneuf - A Framework for Continuous User Involvement. Dissertation, 2013 more… BibTeX Full text (mediaTUM)

Research Topics & Ideas: CompSci & IT

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

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

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

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

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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Home > Computer Science > Dissertations, Theses, and Student Research

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Department of computer science and engineering: dissertations, theses, and student research.

Spatial & Temporal Agnostic Deep-Learning Based Radio Fingerprinting , Fahmida Afrin

Leveraging Aruco Fiducial Marker System for Bridge Displacement Estimation Using Unmanned Aerial Vehicles , Mohamed Aly

Sim-to-Real Reinforcement Learning Framework for Autonomous Aerial Leaf Sampling , Ashraful Islam

SC-Fuse: A Feature Fusion Approach for Unpaved Road Detection from Remotely Sensed Images , Aniruddh Saxena

Experimental Study of Linux Flightsize Estimation , Mingrui Zhang

Motif-Cluster: A Spatial Clustering Package for Repetitive Motif Binding Patterns , Mengyuan Zhou

An Empirical Study on the Classification of Python Language Features Using Eye-Tracking , Jigyasa Chauhan

BEVERS: A General, Simple, and Performant Framework for Automatic Fact Verification , Mitchell DeHaven

Characterizing and Predicting Human Visual Perception of Unmanned Aerial Vehicle Gestures , Paul Fletcher

Machine Learning-Based Device Type Classification for IoT Device Re- and Continuous Authentication , Kaustubh Gupta

Sequence-Based Bioinformatics Approaches to Predict Virus-Host Relationships in Archaea and Eukaryotes , Yingshan Li

SIMULATING SUB-THRESHOLD COMMUNICATION CHANNELS THROUGH NEURONS , Richard Maina

ConSemblEX: A Consensus-Based Transcriptome Assembly Approach that Extends ConSemble and Improves Transcriptome Assembly , Richard Mwaba

Comparative Analyses of De Novo Transcriptome Assembly Pipelines for Diploid Wheat , Natasha Pavlovikj

Attention in the Faithful Self-Explanatory NLP Models , Mostafa Rafaiejokandan

A Pipeline to Generate Deep Learning Surrogates of Genome-Scale Metabolic Models , Achilles Rasquinha

LEARNFCA: A FUZZY FCA AND PROBABILITY BASED APPROACH FOR LEARNING AND CLASSIFICATION , Suraj Ketan Samal

Symbolic NS-3 for Efficient Exhaustive Testing , Jianfei Shao

Feed Forward Neural Networks with Asymmetric Training , Archit Srivastava

Agent Based Modeling of the Spread of Social Unrest Based on Infectious Disease Spread Model , Anup Adhikari

Using Contextual Bandits to Improve Traffic Performance in Edge Network , Aziza Al Zadjali

Computational Solutions to Exosomal microRNA Biomarker Detection in Pancreatic Cancer , Thuy T. An

Aerial Flight Paths for Communication , Alisha Bevins

Towards a Machine Learning Based Generalizable Framework for Detecting COVID-19 Misinformation on Social Media , Yuanzhi Chen

Semantically Meaningful Sentence Embeddings , Rojina Deuja

Using an integrative machine learning approach to study microRNA regulation networks in pancreatic cancer progression , Roland Madadjim

Teachability And Interpretability In Reinforcement Learning , Jeevan Rajagopal

Power-over-Tether Unmanned Aerial System Leveraged for Trajectory Influenced Atmospheric Sensing , Daniel Rico

A Real-World, Hybrid Event Sequence Generation Framework for Android Apps , Jun Sun

“The Revolution Will Not Be Supervised": An Investigation of the Efficacy and Reasoning Process of Self-Supervised Representations , Atharva Tendle

Separator of Diametral Path Graphs , Cuong Than

COMPARATIVE ANALYSIS OF KMER COUNTING AND ESTIMATION TOOLS , Ankitha Vejandla

Information Extraction and Classification on Journal Papers , Lei Yu

SUFFIX TREE, MINWISE HASHING AND STREAMING ALGORITHMS FOR BIG DATA ANALYSIS IN BIOINFORMATICS , Sairam Behera

Formal Language Constraints in Deep Reinforcement Learning for Self-Driving Vehicles , Tyler Bienhoff

A Novel Spatiotemporal Prediction Method of Cumulative Covid-19 Cases , Junzhe Cai

Application of Software Engineering Principles to Synthetic Biology and Emerging Regulatory Concerns , Justin Firestone

Open Dynamic Interaction Network: a cell-phone based platform for responsive EMA , Gisela Font Sayeras

A Memory Usage Comparison Between Jitana and Soot , Yuanjiu Hu

Packet Delivery: An Investigation of Educational Video Games for Computer Science Education , Robert Lafferty

Advanced Techniques to Detect Complex Android Malware , Zhiqiang Li

Emotional Awareness During Bug Fixes – A Pilot Study , Jada O. Loro, Abigail L. Schneff, Sarah J. Oran, and Bonita Sharif

Representational Learning Approach for Predicting Developer Expertise Using Eye Movements , Sumeet Maan

An ANNs Based Failure Detection Method for ONOS SDON Controller , Shideh Yavary Mehr

INVESTIGATING FACTORS PREDICTING EFFECTIVE LEARNING IN A CS PROFESSIONAL DEVELOPMENT PROGRAM FOR K-12 TEACHERS , Patrick Morrow

An Algorithm For Building Language Superfamilies Using Swadesh Lists , Bill Mutabazi

AN EYE TRACKING REPLICATION STUDY OF A RANDOMIZED CONTROLLED TRIAL ON THE EFFECTS OF EMBEDDED COMPUTER LANGUAGE SWITCHING , Cole Peterson

Designing Shared Control Strategies for Teleoperated Robots Across Intrinsic User Qualities , Nancy Pham

Power-over-Tether UAS Leveraged for Nearly-Indefinite Meteorological Data Acquisition , Daniel Rico, Carrick Detweiler, and Francisco Muñoz-Arriola

Formal Concept Analysis Applications in Bioinformatics , Sarah Roscoe

Understanding Eye Gaze Patterns in Code Comprehension , Jonathan Saddler

Advanced Security Analysis for Emergent Software Platforms , Mohannad Alhanahnah

Analysis of Social Unrest Events using Spatio-Temporal Data Clustering and Agent-Based Modelling , Sudeep Basnet

Domain Adaptation in Unmanned Aerial Vehicles Landing using Reinforcement Learning , Pedro Lucas Franca Albuquerque

A Data-driven Approach for Detecting Stress in Plants Using Hyperspectral Imagery , Suraj Gampa

New Algorithms for Large Datasets and Distributions , Sutanu Gayen

Image Classification Using Fuzzy FCA , Niruktha Roy Gotoor

Image Processing Algorithms for Elastin Lamellae Inside Cardiovascular Arteries , Mahmoud Habibnezhad

User Privacy Leakage in Location-based Mobile Ad Services , Qicheng Lin

Formal Modeling and Analysis of a Family of Surgical Robots , Niloofar Mansoor

Dimensional Analysis of Robot Software without Developer Annotations , John-Paul W. Ore

The Design and Implementation of AIDA: Ancient Inscription Database and Analytics System , M Parvez Rashid

LearnFCA: A Fuzzy FCA and Probability Based Approach for Learning and Classification , Suraj Ketan Samal

Scheduling and Prefetching in Hadoop with Block Access Pattern Awareness and Global Memory Sharing with Load Balancing Scheme , Sai Suman

A DATA DRIVEN APPROACH TO IDENTIFY JOURNALISTIC 5WS FROM TEXT DOCUMENTS , Venkata Krishna Mohan Sunkara

Distributed Edge Bundling for Large Graphs , Yves Tuyishime

GAINDroid: General Automated Incompatibility Notifier for Android Applications , Bruno Vieira Resende e Silva

View-Dependent Data Prefetching for Interactive Visualization of Large-Scale 3D Scientific Data , Jin Wang

Feasibility and Security Analysis of Wideband Ultrasonic Radio for Smart Home Applications , Qi Xia

Exploring Eye Tracking Data on Source Code via Dual Space Analysis , Li Zhang

Controller Evolution and Divergence: A Software Perspective , Balaji Balasubramaniam

Performance Evaluation of v-eNodeB using Virtualized Radio Resource Management , Sai Keerti Teja Boddepalli

Effectively Enforcing Minimality During Backtrack Search , Daniel J. Geschwender

Optical Wireless Data Center Networks , Abdelbaset S. Hamza

Scheduling in Mapreduce Clusters , Chen He

Supporting Diverse Customers and Prioritized Traffic in Next-Generation Passive Optical Networks , Naureen Hoque

Modelling and Visualizing Selected Molecular Communication Processes in Biological Organisms: A Multi-Layer Perspective , Aditya Immaneni

COST-EFFECTIVE TECHNIQUES FOR CONTINUOUS INTEGRATION TESTING , Jingjing Liang

GMAim: an analytical pipeline for microRNA splicing profiling using generative model , Kan Liu

Application of Cosine Similarity in Bioinformatics , Srikanth Maturu

Scaling up an Infrastructure for Controlled Experimentation with Testing Techniques , Wayne D. Motycka

Scale-Out Algorithm For Apache Storm In SaaS Environment , Ravi Kiran Puttaswamy

A Comprehensive Framework to Replicate Process-Level Concurrency Faults , Supat Rattanasuksun

Speech Emotion Recognition using Convolutional Neural Networks , Somayeh Shahsavarani

Assessing the Quality and Stability of Recommender Systems , David Shriver

Consensus Ensemble Approaches Improve De Novo Transcriptome Assemblies , Adam Voshall

EvoAlloy: An Evolutionary Approach For Analyzing Alloy Specifications , Jianghao Wang

Higher-Level Consistencies: Where, When, and How Much , Robert J. Woodward

DEPLOYING, IMPROVING AND EVALUATING EDGE BUNDLING METHODS FOR VISUALIZING LARGE GRAPHS , Jieting Wu

Reducing the Tail Latency of a Distributed NoSQL Database , Jun Wu

Detection of Plant Emergence Based on Spatio Temporal Image Sequence Analysis , Bhushit Agarwal

Investigating Diversity in Open Multiagent Team Formation , Pooja Ahuja

An Unmanned Aerial System for Prescribed Fires , Evan M. Beachly

PLANT IMAGE PROCESSING: 3D VOLUME RECONSTRUCTION, HYPERSPECTRAL INFORMATION MINING AND VISUALIZATION , Shi Cao

INVESTIGATING AGENT AND TASK OPENNESS IN ADHOC TEAM FORMATION , Bin Chen

Hierarchical Active Learning Application to Mitochondrial Disease Protein Dataset , James D. Duin

Design and Implementation of a Stand-Alone Tool for Metabolic Simulations , Milad Ghiasi Rad

Exploring the Telecommunications Properties of the Human Nervous System: Analytical Modeling and Experimental Validation of Information Flow through the Somatosensory System , Natalie Hanisch

Analytical Modeling of a Communication Channel Based on Subthreshold Stimulation of Neurobiological Networks , Alireza Khodaei

Rate based Impact Analysis , Nishant Sharma

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Theses and Dissertations

Theses/dissertations from 2023 2023.

Integrative analysis of cell-free DNA liquid biopsy data , Irfan Alahi

Deep Learning for Tomographic Image Reconstruction Guided by Generative Models and Image Science , Sayantan Bhadra

Interpretable deep learning via sparse representation for protein-DNA interactions , Shane Kuei-Hsien Chu

Feature-Oriented Hardware Design , Justin Deters

Decentralized Computing for Reliable Home Automation , Rahav Dor

Injective Mapping under Constraints , Xingyi Du

Consequences and Incentives of Fair Learning , Andrew Estornell

Learning in Large Interactive Environments , Hai S. Le

TFA inference: Using mathematical modeling of gene expression data to infer the activity of transcription factors , Cynthia Ma

Learning from User Interactions and Providing Guidance in Visual Data Analysis , Shayan Monadjemi

Translating Deep Learning into Scientific Domains: Case Studies in Bioactivation, Quantum Chemistry, and Clinical Studies , Kathryn Sarullo

An Efficient Task-Parallel Platform for Interactive Applications , Kyle Singer

Models and Algorithms for Real-Time Systems , Abhishek Singh

Understanding Societal Values of ChatGPT , Yidan Tang

Throughput Optimizations for Irregular Dataflow Streaming Applications on Wide-SIMD Architectures , Stephen William Timcheck

Adversarial Patch Attacks on Deep Reinforcement Learning Algorithms , Peizhen Tong

Honesty Is Not Always the Best Policy: Defending Against Membership Inference Attacks on Genomic Data , Rajagopal Venkatesaramani

Real-time Analysis of Aerosol Size Distributions with the Fast Integrated Mobility Spectrometer (FIMS) , Daisy Wang

Feature Selection from Clinical Surveys Using Semantic Textual Similarity , Benjamin Warner

An Assistive Interface For Displaying Novice's Code History , Ruiwei Xiao

Model-based Deep Learning for Computational Imaging , Xiaojian Xu

Securing Autonomous Driving: Addressing Adversarial Attacks and Defenses , Jinghan Yang

Evaluating the Problem Solving Abilities of ChatGPT , Fankun Zeng

PathFormer: Interpretable and Powerful Graph Transformer for Gene Network Analysis , Qihang Zhao, Zehao Dong, Muhan Zhang, Philip Payne, Michael Province, Carlos Cruchaga, Tianyu Zhao, Yixin Chen, and Fuhai Li

Theses/Dissertations from 2022 2022

Tell It Slant: Investigating the Engagement, Discourse, and Popularity of Data Visualization in Online Communities , Emma Baker

A Reconfigurable FPGA Overlay Architecture for Matrix-Matrix Multiplication , Zihao Chen

Smart Sensing and Clinical Predictions with Wearables: From Physiological Signals to Mental Health , Ruixuan Dai

Dynamic Continuous Distributed Constraint Optimization Problems , Khoi Hoang

The Effects of Host-like Environmental Signals and Gene Expression on Capsule Growth in Cryptococcus neoformans , Yu Min Jung

Application of Crowdsourcing and Machine Learning to Predict Sentiments in Textual Student Feedback in Large Computer Science Classes , Robert Kasumba

Measuring the Effectiveness of Light Concentration with the Catoptric Surface , Samatha Kodali

Applying HLS to FPGA Data Preprocessing in the Advanced Particle-astrophysics Telescope , Meagan Konst

Application of Neural Networks to Predict Patient-Specific Cellular Parameters in Computational Cardiac Models , Chang Hi Lee

Scalable Software Infrastructure for the Lab and a Specific Investigation of the Yeast Transcription Factor Eds1 , Chase Mateusiak

Design & Analysis of Mixed-mode Integrated Circuit for Pulse-shape Discrimination , Bryan Orabutt

Modeling Metastasis in Breast Cancer Patients Using EHR Data, the Area Deprivation Index (ADI), and Machine Learning Models , Vishesh Patel

Speeding up the quantification of Contrast Sensitivity functions using Multidimensional Bayesian Active Learning , Shohaib Shaffiey

Integrating Physical Models and Deep Priors for Computational Imaging , Yu Sun

Human-Centered Machine Learning: Algorithm Design and Human Behavior , Wei Tang

Scheduling for High Throughput and Small Latency in Parallel and Distributed Systems , Zhe Wang

Design and Analysis of Strategic Behavior in Networks , Sixie Yu

Geometric Algorithms for Modeling Plant Roots from Images , Dan Zeng

Theses/Dissertations from 2021 2021

Using Computer Vision to Track Anatomical Structures During Cochlear Implant Surgery , Nicholas Bach

Bayesian Quadrature with Prior Information: Modeling and Policies , Henry Chai

Machine Learning in Complex Scientific Domains: Hospitalization Records, Drug Interactions, Predictive Modeling and Fairness for Class Imbalanced Data , Arghya Datta

Improving additional adversarial robustness for classification , Michael Guo

Deep learning for automatic microscopy image analysis , Shenghua He

Control Flow Integrity for Real-time Embedded Systems , Yuqian Huo

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Dissertations / Theses on the topic 'Computer science in Education'

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Bewley, Samantha. "High School Computer Science Education." Thesis, Villanova University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13426311.

One of the challenges in the field of computer science is teaching the subject at the high school level. Thirteen computer science teachers, one technology teacher and one department chair for technology were interviewed to determine how they thought computer science education could be improved at the high school level. The qualitative research addressed curriculum, professional development, educational computer science standards and frameworks, technology, and pedagogy. Institutional Review Board approval was obtained for the research. Nvivo was used to analyze the interviews. When the results were compiled, many teachers were concerned that there were low numbers of students interested in computer science. Having low numbers or students enrolled in computer science classes contribute to low numbers of computer science teachers. Different way to address these problems are proposed.

Ryu, Mike Dongyub. "Improving Introductory Computer Science Education with DRaCO." DigitalCommons@CalPoly, 2018. https://digitalcommons.calpoly.edu/theses/1943.

Peterson, Cynthia Lynn. "Using computer technology to enhance science education." CSUSB ScholarWorks, 2002. https://scholarworks.lib.csusb.edu/etd-project/2109.

Hickey, Peter J. "A microcomputer network for computer science education." Thesis, University of Ottawa (Canada), 1986. http://hdl.handle.net/10393/5023.

Gibson, Benjamin Ian. "Educational Games for Teaching Computer Science." Thesis, University of Canterbury. Computer Science and Software Engineering, 2013. http://hdl.handle.net/10092/9239.

English, John. "A building blocks approach to computer science education." Thesis, University of Brighton, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485950.

Enström, Emma. "On difficult topics in theoretical computer science education." Doctoral thesis, KTH, Teoretisk datalogi, TCS, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-152357.

QC 20140929

Aldakheel, Eman A. "A Cloud Computing Framework for Computer Science Education." Bowling Green State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1322873621.

Prottsman, Christie Lee Lili. "Computational Thinking and Women in Computer Science." Thesis, University of Oregon, 2011. http://hdl.handle.net/1794/11485.

Mitchell, Carmen L. (Carmen Lois). "The Contributions of Grace Murray Hopper to Computer Science and Computer Education." Thesis, University of North Texas, 1994. https://digital.library.unt.edu/ark:/67531/metadc278692/.

Henderson, Craig Allen 1972. "RobotWorld : a simulation environment for introductory computer science education." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80075.

Hutchins-Korte, Laura. "Learning by game-building in theoretical computer science education." Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/3162.

Mork, Kirsten L. "Evaluating Creative Choice in K-12 Computer Science Curriculum." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/2038.

Anandan, Senthil Kumar. "Animation tool kit for computer science education on the Internet." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0004/MQ45314.pdf.

Symeonidis, Pavlos. "Automated assessment of Java programming coursework for computer science education." Thesis, University of Nottingham, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.437093.

Schroeder, Leah M. "The value of computer-assisted instruction in secondary science education." CSUSB ScholarWorks, 1986. https://scholarworks.lib.csusb.edu/etd-project/172.

Liebe, Christine Lynn. "An Examination of Abstraction in K-12 Computer Science Education." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/6728.

Nadarajah, Kumaravel. "Computers in science teaching: a reality or dream; The role of computers in effective science education: a case of using a computer to teach colour mixing; Career oriented science education for the next millennium." Thesis, Rhodes University, 2000. http://hdl.handle.net/10962/d1003341.

Peterson, Sarah Budinger. "Factors relating to the acquisition of computer literacy and computer science skills in California high schools." Scholarly Commons, 1986. https://scholarlycommons.pacific.edu/uop_etds/3071.

Lowhorn, Greg L., and Anthony Pittarese. "Business Literacy for the Computer Science Professional." Digital Commons @ East Tennessee State University, 2008. https://dc.etsu.edu/etsu-works/3011.

Stejskal, Ryan. "Test-Driven Learning in High School Computer Science." Thesis, University of Nebraska at Omaha, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1554641.

Test-driven development is a style of software development that emphasizes writing tests first and running them frequently with the aid of automated testing tools. This development style is widely used in the software development industry to improve the rate of development while reducing software defects. Some computer science educators are adopting the test-driven development approach to help improve student understanding and performance on programming projects. Several studies have examined the benefits of teaching test-driven programming techniques to undergraduate student programmers, with generally positive results. However, the usage of test-driven learning at the high school level has not been studied to the same extent. This thesis investigates the use of test-driven learning in high school computer science classes and whether test-driven learning provides benefits for high school as well as college students.

Alharbi, Eman. "Characterize the Difficulties that International Computer Science Students Face." Thesis, University of Colorado at Colorado Springs, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10102300.

International Computer Science students, who form the majority of students in Engineering colleges in the U.S (Anderson, 2013), face a lot of difficulties and barriers that are unknown and unexpressed. Hiding these struggles may affect the quality of their education, and will repeat the struggles over and over with the coming students. We conducted a qualitative study to discover the barriers that international Computer Science students have and their special needs. The data was collected by interviewing international Computer Science students and some of their instructors in the University of Colorado at Colorado Springs (UCCS). The study found that international Computer Science students have English barriers evaluated on the following dimensions: listening and understanding lectures, participating and expressing ideas, presenting, writing, and reading. Moreover, students have identified another set of difficulties, which is technical barriers based on educational background and the ability to deal with advanced software tools.

Ochwa-Echel, James R. "Gender gap in computer science education : experiences of women in Uganda /." View abstract, 2005. http://wwwlib.umi.com/dissertations/fullcit/3191711.

Kelkar, Shreeharsh. "Platformizing higher education : computer science and the making of MOOC infrastructures." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107312.

Behnam, Humam, and Artin Mirzaian. "Evaluation of template-based programming question generation for Computer Science education." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280114.

Chiang, Yen-Hsi. "Advising module: Graduate application system for the Computer Science Graduate Program." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2725.

Turner, Scott Alexander. "minimUML: A Minimalist Approach to UML Diagraming for Early Computer Science Education." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/33030.

Acton, Donald, Kimberly Voll, Steven Wolfman, and Benjamin Yu. "Pedagogical Transformations in the UBC CS Science Education Initiative." ACM, 2009. http://hdl.handle.net/2429/8884.

Barton, Roy. "Computers and practical work in science education : a comparative study." Thesis, University of East Anglia, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318020.

Jamwal, Goldee. "Effective use of Interactive Learning Modules in Classroom Study for Computer Science Education." DigitalCommons@USU, 2012. http://digitalcommons.usu.edu/etd/1358.

Rimington, Keith B. "Expanding the Horizons of Educational Pair Programming: A Methodological Review of Pair Programming in Computer Science Education Research." DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/601.

Nivens, Ryan Andrew, and Rosemary Geiken. "Using a Computer Science-Based Board Game to Develop Preschoolers' Mathematics." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/214.

Bell, Richard Scott. "Low overhead methods for improving education capacity and outcomes in computer science." Diss., Kansas State University, 2014. http://hdl.handle.net/2097/18168.

Behnke, Kara Alexandra. "Gamification in Introductory Computer Science." Thesis, University of Colorado at Boulder, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3743653.

This thesis investigates the impact of gamification on student motivation and learning in several introductory computer science educational activities. The use of game design techniques in education offers the potential to make learning more motivating and more enjoyable for students. However, the design, implementation, and evaluation of game elements that actually realize this promise remains a largely unmet challenge. This research examines whether the introduction of game elements into curriculum positively impacts student motivation and intended learning outcomes for entry-level computer science education in four settings that apply similar game design techniques in different introductory computer science educational settings. The results of these studies are evaluated using mixed methods to compare the effects of game elements on student motivation and learning in both formal and non-formal learning environments.

Finch, Dylan Keifer. "Improving and Evaluating Maria: A Virtual Teaching Assistant for Computer Science Education." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/98573.

Burke, Lauren. "Computer Science Education at The Claremont Colleges: The Building of an Intuition." Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/scripps_theses/875.

Crosier, Joanna. "Virtual environments for science education : a schools-based development." Thesis, University of Nottingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323181.

Saw, Yihui. "Enlight : a projected augmented reality approach to science education." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/100671.

Furby, Thomas H. "A comparison of Workforce Education/Human Resource faculty and Computer Science faculty perceptions towards distance education /." Available to subscribers only, 2006. http://proquest.umi.com/pqdweb?did=1147198101&sid=16&Fmt=2&clientId=1509&RQT=309&VName=PQD.

Hunter, Jeffrey C. "Student Engagement in a Computer Rich Science Classroom." Ohio University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1426713813.

Prayaga, Lakshmi. "Game development environment to teach computer science concepts." [Pensacola, Fla.] : University of West Florida, 2007. http://purl.fcla.edu/fcla/etd/WFE0000089.

Polycarpou, Irene. "An Innovative Approach to Teaching Structural Induction for Computer Science." FIU Digital Commons, 2008. http://digitalcommons.fiu.edu/etd/18.

Wiggberg, Mattias. "Computer Science Project Courses : Contrasting Students’ Experiences with Teachers’ Expectations." Doctoral thesis, Uppsala universitet, Avdelningen för datorteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-120081.

DeVaney, Jonah E. "tidyTouch: An Interactive Visualization Tool for Data Science Education." Digital Commons @ East Tennessee State University, 2020. https://dc.etsu.edu/honors/529.

Hewner, Michael. "Student conceptions about the field of computer science." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45890.

Bushey, Dean E. "Critical thinking traits of top-tier experts and implications for computer science education." Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1193079316/.

Jakupovic, Jasmin. "Educated to Learn : How to enhance the education of computer science and informatics." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH. Forskningsmiljö Datavetenskap och informatik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-31902.

Nivens, Ryan Andrew, and Rosemary Geiken. "Using a Computer Science-based Board Game to Develop Preschoolers' Mathematics." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/3040.

Sheldon, Daniel K. (Daniel Kenneth) 1974. "Computer assisted group decision making for education program development." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80120.

Maczka, Darren Kurtis. "Computing Trajectories: Pathways into Computer Science and Programming Experience in the First Year." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/92198.

File(s) under embargo

Reason: Parts of the thesis are not published yet.

until file(s) become available

DISCOVERY OF NOVEL DISEASE BIOMARKERS AND THERAPEUTICS USING MACHINE LEARNING MODELS

In the fields of computational biology and bioinformatics, the identification of novel disease biomarkers and therapeutic strategies, especially for cancer diseases, remains a crucial challenge. The advancement in computer science, particularly machine learning techniques, has greatly empowered the study of computational biology and bioinformatics for their unprecedented prediction power. This thesis explores how to utilize classic and advanced machine learning models to predict prognostic pathways, biomarkers, and therapeutics associated with cancers.

Firstly, this thesis presents a comprehensive overview of computational biology and bioinformatics, covering past milestones to current groundbreaking advancements, providing context for the research. A centerpiece of this thesis is the introduction of the Pathway Ensemble Tool and Benchmark, an original methodology designated for the unbiased discovery of cancer-related pathways and biomarkers. This toolset not only enhances the identification of crucial prognostic components distinguishing clinical outcomes in cancer patients but also guides the development of targeted drug treatments based on these signatures. Inspired by Benchmark, we extended the methodology to single-cell technologies and proposed scBenchmark and PathPCA, which provides insights into the potential and limitations of how novel techniques can benefit biomarker and therapeutic discovery. Next, the research progresses to the development of DREx, a deep learning model trained on large-scale transcriptome data, for predicting gene expression responses to drug treatments across multiple cell lines. DREx highlights the potential of advanced machine learning models in drug repurposing using a genomics-centric approach, which could significantly enhance the efficiency of initial drug selection.

The thesis concludes by summarizing these findings and highlighting their importance in advancing cancer-related biomarkers and drug discovery. Various computational predictions in this work have already been experimentally validated, showcasing the real-life impact of these methodologies. By integrating machine learning models with computational biology and bioinformatics, this research pioneers new standards for novel biomarker and therapeutics discovery.

Degree Type

• Doctor of Philosophy
• Computer Science

Campus location

• West Lafayette

Advisor/Supervisor/Committee Chair

Additional committee member 2, additional committee member 3, additional committee member 4, usage metrics.

• Other information and computing sciences not elsewhere classified

Alum Alexander Levine Honored with Charles A. Caramello Distinguished Dissertation Award

University of Maryland Department of Computer Science alum Alexander Levine (Ph.D. '23, computer science) has been awarded the Charles A. Caramello Distinguished Dissertation Award for his dissertation titled "Scalable Methods for Robust Machine Learning." Levine, now a postdoctoral fellow at the University of Texas at Austin , focused on developing machine learning models that maintain accuracy amid distortions. The award ceremony is scheduled for Tuesday, May 14, at the Stamp Student Union. The award is for the dissertation he completed in 2023.

The Charles A. Caramello Distinguished Dissertation Award is given annually by the Graduate School to recognize dissertations that provide highly original contributions that make an unusually significant contribution to the discipline. Levine is among four recipients of the award this year.

Awardees receive an honorarium of $1,000. Additionally, they may be nominated for further recognition at the national level through the CGS/ProQuest Distinguished Dissertation Award competition, which selects outstanding dissertations from across the country to honor achievements in graduate research.

“I feel honored that my work has been recognized by this award,” Levine said. “I am deeply thankful for all of the support I received during my time at UMD from my advisor, my collaborators, my dissertation committee and the rest of the UMD computer science community. I am fortunate to have worked with such talented people on such interesting problems.”

Advised by Associate Professor Soheil Feizi , Levine's dissertation introduces innovative methods for ensuring the robustness of machine learning models, specifically in scenarios where input data may be subtly altered or distorted, including malicious tampering. This research is particularly relevant as machine learning applications become increasingly prevalent in areas requiring high reliability and security.

Levine explained that practitioners can implement these systems more confidently in safety-critical applications by developing machine learning techniques with well-understood robustness guarantees. He noted that the capabilities of machine-learning-based systems have expanded dramatically in just the last couple of years, increasing their use in various sectors. Levine emphasized the growing importance of ensuring these systems' robustness as their applications broaden.

Levine is currently expanding his research focus.

“At UT Austin, my research focus has shifted to representation learning for sequential decision-making tasks,” Levine shared. “In particular, I have been working on frameworks that allow deep learning to be used in combination with search-based planning techniques, so that we can benefit from both the powerful capabilities of modern deep learning and the interpretability, flexibility and efficiency of classical planning methods. ”

Levine received the Larry S. Davis Doctoral Dissertation Award in the Fall of 2023 . Named in honor of Computer Science Professor Emeritus Larry Davis , the award, given by UMD’s Department of Computer Science, highlighted dissertations that were exceptional in their technical depth and potential for significant impact.

—Story by Samuel Malede Zewdu, CS Communications 

The Department welcomes comments, suggestions and corrections.  Send email to editor [-at-] cs [dot] umd [dot] edu .