PhD Dissertation Proposal Defense
Fast, Scalable, Warm-start Semidefinite Programming with Application to Knowledge Editing and Mixed Integer Semidefinite Optimization
Semidefinite programming (SDP) has traditionally been limited to moderate-sized problems.
Calibrating Trust in Visualization through the Manipulation of Visual Complexity
Hamza Elhamdadi presents their PhD Dissertation Proposal Defense, "Calibrating Trust in Visualization through the Manipulation of Visual Complexity."
PhD Dissertation Proposal Defense: Cen Wang, Deep Learning for Discrete Event Simulations
This thesis explores how deep learning can solve existing problems and uncover new applications for simulation.
PhD Dissertation Proposal Defense: Aimen Gaba, Natural Language and Visual Design Can Influence Trust and Bias Perception in AI
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.
PhD Dissertation Proposal Defense: Juhyeon Lee, Advancing Objective Motor Severity Assessment in Cerebellar Ataxias Using Wearable Sensors and Machine Learning
Cerebellar ataxias are a group of etiologically diverse neurological diseases that cause dysfunction of the cerebellum and related pathways.
PhD Dissertation Proposal Defense: Yunda Liu, Advancing Objective Assessment of Physical and Behavioral Phenotypes Using Wearable and Mobile Technologies
This dissertation focuses on advancing wearable technology-based models for assessing physical and behavioral phenotypes.
PhD Dissertation Proposal Defense: Dhawal Gupta, Improving Temporal Credit Assignment in Reinforcement Learning
This dissertation addresses key aspects of TCAP by proposing novel methodologies that enhance value estimation...
PhD Dissertation Proposal Defense: Oindrila Saha, Fine-Grained Recognition with Limited Supervision
This thesis advances fine-grained recognition under limited supervision through several complementary approaches.
Uncertainty-Aware Computer Vision in Resource-Constrained Environments
This thesis explores how to leverage uncertainty awareness to create more robust vision models for use
in constrained environments.
Statistical Analysis of Covert Cybersecurity Activities: Scaling Laws and Detection Methodologies
This dissertation conducts a comprehensive statistical analysis of covert cybersecurity activities, with a focus on volume-based attack detection.
Ph.D. Dissertation Proposal Defense: Minhao Cui, Exploiting Pervasive Leakage EM Signals for Communication, Charging, and Sensing
Minhao Cui aims to leverage the pervasive ambient leakage signals, which are typically seen as detrimental, to enhance wireless communication performance.
PhD Dissertation Proposal Defense: Alexandra Camero Bejarano, Crystal Network Comparison
This thesis will use topological information captured by bonds to compare crystal networks.