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."

Big data analytics in the cloud has achieved widespread adoption, revolutionizing data-driven insight discovery and decision-making.

In this thesis, Dasgupta proposes a matrix completion framework that incorporates set-theoretic dependencies, using box embeddings to represent entities...

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.

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.

The primary responsibility of first and second-generation quantum networks will be to facilitate the delivery of bipartite quantum entanglements.

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

Data is generated and collected from all aspects of human activity as well as scientific measurements, simulations, and environmental monitoring.