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

PhD Defense by Aishwerya S. Gahlot

Physics-Based Models for Rotor Aerodynamics under Adverse Weather

PhD Defense by Aishwerya S. Gahlot

Physics-Based Models for Rotor Aerodynamics under Adverse Weather

PhD Defense by Matthew Lau

Characterizing Anomalies for Reliable Machine Learning

PhD Defense by Haripriya Rajagopalan

Predicting Turbulent Burning Velocity of High Flames

PhD Defense by Liam Smith

Employing Machine Learning Techniques to Increase the Quality of Ionospheric Modeling

PhD Defense by Shengjun Xi

Constraining Atmospheric Emissions and Chemical Processes Across Spatial Scales Using Modeling and Observational Techniques

PhD Defense by Lida Chen

State Form Dynamic Programming: A New Optimization Method for Large Reservoir Systems

PhD Proposal by Justin Brackenridge

Hierarchical Nanostructures from Cellulose Nanocrystals for Optical and mechanical Functionality

PhD Defense by Dolly Seeburger

Brain Networks Underlying Individual Differences in Attention Control

PhD Defense by Xinchao Liu

Physics-Aware Statistical Learning for Scientific Computing and Decision Making in Engineering Applications