PhD Dissertation Proposal Defense

This thesis addresses these limitations by developing a comprehensive framework for the automated assessment of open-ended mathematical responses. 

In this dissertation, I explore how lightweight dynamic analysis can be used to improve the reliability of Python software.

In this thesis, I address this challenge across several computer vision problems by developing methods that adapt standard models to the open world.

This thesis addresses IMU data scarcity and energy constraints.

This thesis develops and analyzes compact formulations for decision-making problems characterized by large action and large state sets.

This thesis explores AI-driven methods to improve the robustness and scalability of grading and feedback systems.

In this thesis, we identify and rectify some limitations of cryptographic constructions and their proofs of security.

This research advances methodologies for analyzing textual content from large-scale online datasets, interpreting message intent, retrieving  knowledge...

In my dissertation, I propose to explore the vast landscape of quantum networks by devising analytical models for network performance.

This dissertation aims to utilize LLMs to mine, explain, and characterize global media coverage.

This dissertation explores machine learning techniques for molecular property prediction, with a focus on modeling and understanding mycomembrane permeability.

In this thesis, we first focus on discrimination in supervised learning.