Assistant Professor
At the Astrodynamics, Space ScIence, and Space Technology (ASSIST) Laboratory, Piyush Mehta performs state-of-the-art research at the intersection of Astrodynamics, Space Weather and Machine Learning. He is working on developing novel technologies and solutions including methods, tools, and software for real-world problems in:
- Astrodynamics, Space Situational Awareness and Space Traffic Management
- Space Weather - Probabilistic Modeling and Forecasting with Uncertainty Quantification
- Physics-informed Machine Learning
- Space Exploration
- Atmospheric re-entry
- Dynamic Reduced Order Modeling for Large-Scale, High-Dimensional Systems
- Model-Data Fusion and Nonlinear State Estimation
- Data-Driven Modeling