Theses and dissertations produced through the Department of Computer Science and Engineering

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Theses/Dissertations from 2025

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Noninvasive Assessment of the Tumor Using cfDNA, Irfan Alahi

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Advancing Political Science With Machine Learning: A Gaussian Process Approach, Yehu Chen

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Predicting Which Genes Will Respond to Transcription Factor Perturbation, Eric L. Jia

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Effective and Efficient Graph Foundation Model, Lecheng Kong

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Understanding and Mitigating Timing Issues in Autonomous Systems, Ao Li

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Towards Secure and Privacy-Preserving Machine Learning Systems, Han Liu

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Advancing Predictive Modeling with Deep Representation Learning on Diverse Clinical Data, Hanyang Liu

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Computational Complexity of Soundness Verification for Neural Networks, Scott Sirri

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Strategic Reactor Allocation for Deadlock-Free Execution, Jeevan Sivamohan

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Generic FPGA Preprocessing for Astrophysics Instruments in HLS, Qinzhou Song

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Explainable Decision-Making: From Formal Logic to AI Systems with Explainable Behavior, Stylianos Loukas Vasileiou

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Explainable Decision-Making: From Formal Logic to AI Systems with Explainable Behavior, Stylianos Loukas Vasileiou

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Real-time System Availability for Cyber-physical Systems, Jinwen Wang

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Security Protection for Real-Time Cyber-Physical Systems, Yujie Wang

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Partially Supervised Reinforcement Learning for GPS-Denied Navigation, Ethan Weilheimer

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Empirically Exploring the Physical Realizability of Adversarial Examples, Ruoyao Wen

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Trustworthy Autonomy Through Robust Control and Alignment, Junlin Wu

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System Security Foundations for AI-Enabled Systems, Yuhao Wu

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Training Safety Control Filters Using High-dimensional and Un-labeled Data, Yuxuan Yang

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Scaling Quantum Systems: Quantum Networks, Distributed Quantum Computing, and Security, Zebo Yang

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Cyber-Physical Security Through the Lens of AI-Enabled Systems, Zhiyuan Yu

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Supporting Programmers Answering the Hard-To-Answer Questions Through the Use of Large Language Models, Haixin Zhou

Theses/Dissertations from 2024

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Application of Machine Learning for Multi-omics Data Integration, Dhoha Abid

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Beyond Measures of Speed & Accuracy: Evaluating Visualization Perception, Reasoning & Decision-Making, Melanie Bancilhon

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Improving Clinical Information Extraction from Electronic Health Records: Leveraging Large Language Models and Evaluating Their Outputs, KRITI BHATTARAI

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Reimagining the Machine Vision Pipeline in Cyber Physical Systems for Trustworthiness and Efficiency, Adith Boloor

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Reimagining the Machine Vision Pipeline in Cyber Physical Systems for Trustworthiness and Efficiency, Adith Boloor

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Learning and planning in stochastic interactive environments with the presence of sparse dependence structures, Zihao Deng

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Improving and Modeling Heterogeneous Streaming Computation, Clayton Faber

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A Distributed and Hybrid AI-Based Security Framework for 5G Real-time Applications, Ali Ghubaish

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Tree Recovery by Dynamic Programming, Gustavo Alberto Gratacos

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Towards Building a Reliable Human-Machine Partnership: A Visual Analytics Approach, Sunwoo Jennifer Ha

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Work-Stealing Scheduler for Parallel Cache-Adaptive Algorithms, Chuqi Jiang

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Multimodal Representation Learning Frameworks for Modeling Progression and Heterogeneity in Alzheimer’s Disease, Sayantan Kumar

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Multimodal Representation Learning Frameworks for Modeling Progression and Heterogeneity in Alzheimer’s Disease, Sayantan Kumar

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Towards Verified Vision-Based Neural Network Controllers for Autonomous Lane-Following, Xinhang Ma

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Experimental Design for Scientific Discovery, Quan Minh Nguyen

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An Attention LSTM U-Net Model for Drosophila Melanogaster Heart Tube Segmentation, Xiangping Ouyang

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Schedulability Analysis of Multi-Phase Limited-Preemption Tasks, Benjamin Standaert

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Improved Models of Elastic Scheduling, Marion Baumli Sudvarg

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Coding for Decentralized Systems and Forensic 3D Fingerprinting, Canran Wang

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Coding for Decentralized Systems and Forensic 3D Fingerprinting, Canran Wang

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Designing Behavior-Aware AI Systems to Influence Human Decision-Making, Guanghui Yu

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Internet of Medical Things: Integrating Machine Learning and Wearables for Healthcare, Jingwen Zhang

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Internet of Medical Things: Integrating Machine Learning and Wearables for Healthcare, Jingwen Zhang

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Efficient Computation Using Near-Memory Processing and High-Level Synthesis, Chenfeng Zhao

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Mending Trust in AI: Trust Repair Policy Interventions for Large Language Models in Visual Data Journalism, Hangxiao Zhu

Theses/Dissertations from 2023

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

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

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