Mahdis
She/her/hers

  • Mahdis Rabbani

  • Education

    • Ph.D., Mechanical Engineering
      University of California, Davis
    • Bachelor's degree, Mechanical Engineering
      University of Tehran
  • 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.
     
Approximate Nash Equilibrium
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