PhD Thesis Defense

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

In this thesis, Hanafy proposes novel resource management techniques that allow cloud users and operators to reduce their operational carbon emissions.

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

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

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...

This dissertation explores the potential of NLP to extract, analyze, and apply SBDH information to advance clinical insights.

In this thesis, we study methods and tools for learning from uncertain and incomplete longitudinal data.

This thesis investigates how LLMs can assist, transform, and extend human work across three specific tasks: translation, editing, and literary interpretation.

This dissertation categorizes skills that fall under computational thinking and describes our work towards improving student learning and engagement.

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

In this thesis, Wang addresses this gap by presenting model-driven resource allocation algorithms for latency-sensitive applications...