PhD Dissertation Proposal Defense

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 proposes a series of methodologies designed to overcome data scarcity.

This thesis addresses IMU data scarcity and energy constraints.

This thesis first establishes and empirically validates a causal model of the relationship between programming languages and energy consumption.

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

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

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

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.

This thesis addresses both specification and scalability challenges in agentic system alignment.

Cloud computing and rapid data growth have driven many organizations to outsource large datasets to cloud databases in order to reduce management costs.

This thesis studies patient education grounded in digital health records.