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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