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.