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At ASSIST Lab, we perform state-of-the-art research at the intersection of Astrodynamics,
Space Weather and Machine Learning. We are 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
For more information on research projects, publications, open-source and free software, the team, and sponsors of our research, please feel free to navigate the different pages.
About Dr. Mehta
Education
- Ph.D. Aerospace Engineering, University of Kansas, 2013
- B.S. Aerospace Engineering, University of Kansas, 2009