PhD Thesis Defense

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

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

This thesis addresses challenges of dataset scarcity and energy efficiency.

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

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

In this thesis, I address this problem by introducing multiple approaches for aligning LLMs with student behavior and knowledge.

The thesis is motivated by the challenge of extracting structured instances of action or relationship occurrences from large amounts of unstructured text to...

This dissertation develops analytic pipelines and machine learning approaches to estimate ataxia severity.

This thesis proposes an alternative path toward intelligent control by  drawing inspiration from biological systems and exploring the concept of time-aware...

This thesis contributes novel methods for differentially private statistical learning, with a focus on improving the usability of private inference.

This thesis aims to address these challenges by developing a series of approaches for the automated assessment of open-ended mathematical responses.

The optimization of user experience through online A/B testing has long been a cornerstone of digital business strategy, driving revenue and...