Position Title
Abhigyan Majumdar
Position Title
Abhigyan Majumdar
Bio
Abhigyan’s research focuses on the integration of physics-based and data-driven modelling approaches for electric vehicle thermal management and control.
His work involves combining Koopman Operator theory with Gaussian Process Regression to develop robust probabilistic system models. These models support the development of optimal control strategies for uncertain environments.
Additionally, he is working on implementing and testing ADAS algorithms on real vehicles, integrating drive-by-wire capabilities to enhance autonomous driving research within the lab.
Watch the project video here:
Education and Degree(s)
- Ph.D. Candidate in Mechanical Engineering at University of California, Davis
- B.Sc. in Mechanical Engineering at National Institute of Technology Rourkela
Publications
- Control and control-oriented modeling of PEM water electrolyzers: A review A Majumdar, M Haas, I Elliot, S Nazari - International Journal of Hydrogen Energy, 2023
- Sliding Mode Wheel Slip Control for Regenerative Braking of an All-Wheel-Drive Electric Vehicle A Majumdar, S Nazari - ASME Letters in Dynamic Systems and Control, 2024
- Inverted Gaussian Process Optimization for Nonparametric Koopman Operator Discovery