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

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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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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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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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Improved Models of Elastic Scheduling, Marion Baumli Sudvarg

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

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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

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Feature-Oriented Hardware Design, Justin Deters

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Decentralized Computing for Reliable Home Automation, Rahav Dor

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Injective Mapping under Constraints, Xingyi Du

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Consequences and Incentives of Fair Learning, Andrew Estornell

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Learning in Large Interactive Environments, Hai S. Le

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

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

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

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

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Models and Algorithms for Real-Time Systems, Abhishek Singh

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Understanding Societal Values of ChatGPT, Yidan Tang

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

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Adversarial Patch Attacks on Deep Reinforcement Learning Algorithms, Peizhen Tong

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

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

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

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

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Model-based Deep Learning for Computational Imaging, Xiaojian Xu

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

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Evaluating the Problem Solving Abilities of ChatGPT, Fankun Zeng

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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

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

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

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

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Dynamic Continuous Distributed Constraint Optimization Problems, Khoi Hoang

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

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

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

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

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

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

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

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

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