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

Physics-Based Models for Rotor Aerodynamics under Adverse Weather
Physics-Based Models for Rotor Aerodynamics under Adverse Weather
Characterizing Anomalies for Reliable Machine Learning
Predicting Turbulent Burning Velocity of High Flames
Employing Machine Learning Techniques to Increase the Quality of Ionospheric Modeling
Constraining Atmospheric Emissions and Chemical Processes Across Spatial Scales Using Modeling and Observational Techniques
State Form Dynamic Programming: A New Optimization Method for Large Reservoir Systems
Hierarchical Nanostructures from Cellulose Nanocrystals for Optical and mechanical Functionality
Brain Networks Underlying Individual Differences in Attention Control
Physics-Aware Statistical Learning for Scientific Computing and Decision Making in Engineering Applications