Theses/Dissertations from 2026
A Specification-Driven Framework for Self-Supervised Learning in Specialized Vision Domains, Mahmut S. Gokmen
Multi-Objective Optimization of Energy Costs and EV Battery Health in V2G Enabled Homes, Dzifa M. Hodey
Toward Efficient and Scalable Scientific Data Management through Quality-oriented Data Compression, Pu Jiao
Federated Data Engineering and Learning for Edge Intelligence Systems, Afsaneh Mahanipour
Theses/Dissertations from 2025
Tiered Coalition Formation Game Variants, Stability, and Simulation, Nathan Arnold
Exploiting Artificial Intelligence and Optimization for Smart Agriculture, Jackson K. Butcher
Temporal Team Formation Games with Dynamic Preferences, Cameron Egbert
Smart QoS-Aware Resource Management For Edge Intelligence Systems, Minoo Hosseinzadeh
Biomedical Relation Extraction in the Era of (Large) Language Models, Yuhang Jiang
Information-Theoretic Methods for Efficient Training and Robust Evaluations in Self-Supervised Learning, Oscar Skean
Optimization, Machine Learning, and Networking Solutions for Cyber-Physical Systems, Xu Tao
Development of Software for Genetic Distances, Genotyping, and Phylogenetics using RNA-seq Data, Andrew C. Tapia
Augmenting Machine Learning Technique Through Natural Language, Tasmia Tasrin
Theses/Dissertations from 2024
Extracting Social Network Model Parameters from Social Science Literature, Isaac Batts
Post-Capture Synthesis of Images Using Manipulable Integration Functions, Paul Eberhart
LANGUAGE MODELS FOR RARE DISEASE INFORMATION EXTRACTION: EMPIRICAL INSIGHTS AND MODEL COMPARISONS, Shashank Gupta
TENSION CONTROL AND INTERPROXIMATION TECHNIQUES FORSHAPE DESIGN AND RGB-DEPTH SEGMENTATION RECONSTRUCTION AND MODELING, Anastasia Kazadi
Finding Hierarchies to Improve Learning in Hierarchical Reinforcement Learning, Roy Mobley
Flexible Attenuation Fields: Tomographic Reconstruction From Heterogeneous Datasets, Clifford S. Parker
Detecting and Recovering From Player Preference Shifts In A Player Modeled Experience Management Environment, anton vinogradov
Theses/Dissertations from 2023
Small Approximate Pareto Sets with Quality Bounds, William Bailey
Machine-Learning-Powered Cyber-Physical Systems, Enrico Casella
PERSONALIZED POINT OF INTEREST RECOMMENDATIONS WITH PRIVACY-PRESERVING TECHNIQUES, Longyin Cui
Machine Learning Framework for Real-World Electronic Health Records Regarding Missingness, Interpretability, and Fairness, Jing Lucas Liu
