Position Title
Mahdi Rabbani
Position Title
Mahdi Rabbani
She/her/hers
Bio
- Mahdis’s research focuses on applying game theory and data-driven modelling to improve planning and control in interactive systems.
Her work involves analyzing Nash equilibrium to develop scalable and efficient decision-making strategies for uncertain environments. By utilizing optimization techniques, she ensures that complex multi-agent interactions can be handled effectively while maintaining stability and robustness in real-world applications.
Education and Degree(s)
- Ph.D. Candidate in Mechanical Engineering at University of California, Davis
- M.Sc. in Mechanical Engineering at University of California, Davis
- B.Sc. in Mechanical Engineering at University of Tehran
Publications
- An Automatic Tuning MPC with Application to Ecological Cruise Control M Abtahi, M Rabbani, S Nazari - IFAC-PapersOnLine, 2023
- Powertrain Hybridization for Autonomous Vehicles: Fuel Efficiency Perspective in Mixed Autonomy Traffic S Nazari, N Gowans, M Abtahi, M Rabbani - IEEE Transactions on Transportation Electrification, 2024
- Optimal Modified Feedback Strategies in LQ Games under Control Imperfections