Theses/Dissertations from 2025
Computational Complexity of Soundness Verification for Neural Networks, Scott Sirri
Empirically Exploring the Physical Realizability of Adversarial Examples, Ruoyao Wen
Theses/Dissertations from 2024
Application of Machine Learning for Multi-omics Data Integration, Dhoha Abid
Beyond Measures of Speed & Accuracy: Evaluating Visualization Perception, Reasoning & Decision-Making, Melanie Bancilhon
Improving Clinical Information Extraction from Electronic Health Records: Leveraging Large Language Models and Evaluating Their Outputs, KRITI BHATTARAI
Reimagining the Machine Vision Pipeline in Cyber Physical Systems for Trustworthiness and Efficiency, Adith Boloor
Improving and Modeling Heterogeneous Streaming Computation, Clayton Faber
A Distributed and Hybrid AI-Based Security Framework for 5G Real-time Applications, Ali Ghubaish
Tree Recovery by Dynamic Programming, Gustavo Alberto Gratacos
Towards Building a Reliable Human-Machine Partnership: A Visual Analytics Approach, Sunwoo Jennifer Ha
Work-Stealing Scheduler for Parallel Cache-Adaptive Algorithms, Chuqi Jiang
Multimodal Representation Learning Frameworks for Modeling Progression and Heterogeneity in Alzheimer’s Disease, Sayantan Kumar
Towards Verified Vision-Based Neural Network Controllers for Autonomous Lane-Following, Xinhang Ma
Experimental Design for Scientific Discovery, Quan Minh Nguyen
An Attention LSTM U-Net Model for Drosophila Melanogaster Heart Tube Segmentation, Xiangping Ouyang
Schedulability Analysis of Multi-Phase Limited-Preemption Tasks, Benjamin Standaert
Improved Models of Elastic Scheduling, Marion Baumli Sudvarg
Coding for Decentralized Systems and Forensic 3D Fingerprinting, Canran Wang
Designing Behavior-Aware AI Systems to Influence Human Decision-Making, Guanghui Yu
Internet of Medical Things: Integrating Machine Learning and Wearables for Healthcare, Jingwen Zhang
Efficient Computation Using Near-Memory Processing and High-Level Synthesis, Chenfeng Zhao
Mending Trust in AI: Trust Repair Policy Interventions for Large Language Models in Visual Data Journalism, Hangxiao Zhu
Theses/Dissertations from 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
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
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