Theses/Dissertations from 2026
Human-Centric Task Learning and Optimization in Human-Robot Collaboration, Emilio M. Herrera (2026)
Ordered Mini-batch Training for Differentially Private and Encrypted Logistic Regression, Ryan Leone (2026)
Characterization and Evaluation of Human Factors in Human-Robot Collaborative Contexts, Garrett Modery (2026)
Inertial Dynamics of Non-Spherical Particles in Fluid Flows, Takashi Yashiro (2026)
Theses/Dissertations from 2025
A Multimodal AI Framework for Energy Analysis: Integrating GIS, CNNs, ViTs, and LLMs, Blessing Austin-Gabriel (2025)
Quantitative Preventive Approaches to Diabetes: Mathematical Modeling and Analysis, Rushi P. Bhatt (2025)
Predicting Lung Cancer Severity Using Machine Learning Algorithms: Enhanced by Statistical Analysis, Esin Bilgin (2025)
Enhancement of Offshore Wind Farms Using Geospatial Wind Data and Machine Learning in the Northeastern United States, Cristian Camilo Noriega Monsalve (2025)
Human-AI-Collaboration-For-Coding, Siddhardha Ravi (2025)
Theses/Dissertations from 2024
Bridging NLP with Environmental Management by Sentiment Analysis and Topic Modeling on Offshore Wind Energy, Isabele Mansur Costa Bittencourt (2024)
Feature Matching Methods Comparison with Limited Computing Power, Xu Du (2024)
Deterministic and Stochastic Dynamics of Marine Food Webs, Julian A. Hernandez S. (2024)
Infusing Commonsense via Knowledge Bases in Multipurpose Robotic Task Organization, Rafael Omar Hidalgo (2024)
Predictive modeling of PM₂.₅ pollution in New Jersey, Katerina Knyazeva (2024)
Trust in Human-Robot Collaborative Tasks, Jesse Parron (2024)