PhD Dissertation Proposal Defense

Semidefinite programming (SDP) has traditionally been limited to moderate-sized problems.

Hamza Elhamdadi presents their PhD Dissertation Proposal Defense, "Calibrating Trust in Visualization through the Manipulation of Visual Complexity."

This thesis explores how deep learning can solve existing problems and uncover new applications for simulation.

Gaba's dissertation explores the role of natural language and visualization design in shaping users' perceptions of bias in ML systems and its impact on trust.

Cerebellar ataxias are a group of etiologically diverse neurological diseases that cause dysfunction of the cerebellum and related pathways.

This dissertation focuses on advancing wearable technology-based models for assessing physical and behavioral phenotypes.

This dissertation addresses key aspects of TCAP by proposing novel methodologies that enhance value estimation...

This thesis advances fine-grained recognition under limited supervision  through several complementary approaches.

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 explores how to leverage uncertainty awareness to create more robust vision models for use in constrained environments.

This dissertation conducts a comprehensive statistical analysis of covert cybersecurity activities, with a focus on volume-based attack detection.

Minhao Cui aims to leverage the pervasive ambient leakage signals, which are typically seen as detrimental, to enhance wireless communication performance.