PhD Thesis Defense

This dissertation advances conversational AI by showing how multi-agent chatbots, thoughtful avatar design, and personalized interactions enhance engagement...

The central task developed in this work is to learn a global probabilistic model, often a graphical model, that is consistent with these observed marginals.

In this thesis, we revisit the task of data selection through the lens of social-oriented metrics like diversity and fairness.

In this thesis I present computational methods for transforming large-scale, unstructured data into rich semantic structures to support human decision-making.

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

This dissertation studies the fundamental limits of covert activity across communication, network attack, and sequential detection settings.

This thesis addresses challenges of dataset scarcity and energy efficiency.

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

The dissertation addresses the fundamental challenge of deploying machine learning models on resource-constrained autonomous systems

This thesis seeks to understand the extent of health inequity captured in EHR data and investigate how ML models can be redesigned.

This dissertation presents five systems that jointly optimize computation and communication across two workload regimes.

In this thesis, the author investigates the capabilities of LLMs to understand student behavior and provide appropriate feedback.