The following is a list of upcoming Thesis & Dissertation proposal defenses.

PhD Defense by Ilsu Kim

Advancing the Practical Integration of Attitudes into Regional Travel Demand Models: Attitudinal Marker Variables, Systematic Model Specification, and Temporal Stability of Attitudes

PhD Defense by Maugan Lloyd

Individual Differences in Navigation Performance and Metacognitive Monitoring: The Role of Confidence in Route Learning

Ph.D. Proposal Oral Exam - Prankush Agarwal

Physics-Informed ML for Power-Efficient Optical DSP and Inverse Design Techniques for Integrated Photonics

PhD Proposal by Phuong Vu

Quantitative Analysis of the Locus Coeruleus in Alzheimer's Disease Using Multimodal MRI

PhD Proposal by Edgar Torres

Design and development of amino acid-linked PROTACs for targeted protein degradation

PhD Defense by Himadri S. Pandey

Optimization Driven Machine Learning for Healthcare

PhD Defense by Jiahao Chen

Numerical Approach to the Time-Convolutionless (TCL) Master Equation

PhD Defense by Ayush Mohanty

Decentralized Learning of Interdependencies for Multi-Component Dynamic Systems

PhD Defense by Kai Xue

The Computation of Confidence in Perceptual Decision-Making

Ph.D. Dissertation Defense - Hanqiu Chen

Architecture, System and Tool Co-Design For Memory and Storage Efficient Machine Learning