PhD Thesis Defense

Our algorithms, Greedy Expert Round Robin and FairSequence, assign experts in such a way that no request "envies" another request's assigned experts.

In this PhD Thesis Defense, Chen will explore neural network architectures that facilitate joint learning across varied tasks.

In this proposal, Lee will present optimal online algorithms for energy optimization in the competitive analysis setting.

This thesis introduces a unifying model for generating behaviors that not only achieve desired goals, but also account for how these behaviors are perceived.

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.

Kalanadhabhatta makes the case for an alternative sensing paradigm leveraging multimodal signals recorded during children's existing play-based interactions.

In this thesis, Bahramali explores 2 approaches to performing traffic analysis on encrypted network traffic: a model-based approach and a data-driven approach.

In their thesis, Cui leverages the pervasive ambient leakage signals, which are typically seen as detrimental, to enhance wireless communication performance.

This thesis puts forth a central focus on sustainability in electricity grids with the presence of distributed energy resources.