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

Rate-Agnostic Causal Learning from Sub-Sampled Time Series Data for Neuroscientific Applications
A Trapping-Based Physical Model for 1/f Noise in the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR)
A Methodology for Dynamic Gate Allocation Using Deep Reinforcement Learning and Convective Weather Intelligence
Enabling Robust Ambulatory Cardiovascular Monitoring inthe Context of Stress for Those with a Prior Myocardial Infarction
Ultrasound Shear Wave Elastography Methods for Tissue Therapy Guidance and Monitoring