Theses/Dissertations from 2023
Small Approximate Pareto Sets with Quality Bounds, William Bailey
Machine-Learning-Powered Cyber-Physical Systems, Enrico Casella
Machine Learning Framework for Real-World Electronic Health Records Regarding Missingness, Interpretability, and Fairness, Jing Lucas Liu
Enabling DApps Data Exchange with Hardware-Assisted Secure Oracle Network, Yue Li
Improving Connectivity for Remote Cancer Patient Symptom Monitoring and Reporting in Rural Medically Underserved Regions, Esther Max-Onakpoya
A Secure and Distributed Architecture for Vehicular Cloud and Protocols for Privacy-preserving Message Dissemination in Vehicular Ad Hoc Networks, Hassan Mistareehi
Deep Learning Models for CT Image Standardization, Md Selim
Multi-agent Learning For Game-theoretical Problems, Kshitija Taywade
Peer-to-Peer Energy Trading in Smart Residential Environment with User Behavioral Modeling, Ashutosh Timilsina
The BASIL technique: Bias Adaptive Statistical Inference Learning Agents for Learning from Human Feedback, Jonathan Indigo Watson
Multi-Domain Adaptation for Image Classification, Depth Estimation, and Semantic Segmentation, Yu Zhang
Theses/Dissertations from 2022
Learning a Scalable Algorithm for Improving Betweenness in the Lightning Network, Vincent Davis
Don't Give Me That Story! -- A Human-Centered Framework for Usable Narrative Planning, Rachelyn Farrell
Image Geo-localization with Cross-Attention, Connor Greenwell
Smart Decision-Making via Edge Intelligence for Smart Cities, Nathaniel Hudson
Supporting Stylized Language Models Using Multi-Modality Features, Chengxi Li
The Performance Optimization of ASP Solving Based on Encoding Rewriting and Encoding Selection, Liu Liu
Protocols and Architecture for Privacy-preserving Authentication and Secure Message Dissemination in Vehicular Ad Hoc Networks, Shafika Showkat Moni
IMPROVING NETWORK POLICY ENFORCEMENT USING NATURAL LANGUAGE PROCESSING AND PROGRAMMABLE NETWORKS, Pinyi Shi
Matrix Interpretations and Tools for Investigating Even Functionals, Benjamin Stringer
Design, Development and Benchmarking of Machine Learning Algorithms in Biomedical Applications, Qi Sun
An Automated Framework to Debug System-Level Concurrency Failures, Tarannum Shaila Zaman
Theses/Dissertations from 2021
Routing and Applications of Vehicular Named Data Networking, Bassma G. Aldahlan
Revisiting Absolute Pose Regression, Hunter Blanton
Multi-stream Longitudinal Data Analysis using Deep Learning, Sajjad Fouladvand