Mohammad Abtahi

  • Mohammad Abtahi

    Education

    • Ph.D., Mechanical Engineering
      University of California, Davis
    • Bachelor's degree, Mechanical Engineering
      Sharif University of Technology

    Mohammad’s research focused on developing a physics-informed, data-driven algorithm leveraging Koopman Operator
    theory.
    His work involves designing and implementing deep autoencoder architectures in pytorch to model high-
    dimensional state space models. These models support the development of Model Predictive Control (MPC) strategies,
    enhancing real-time path planning and decision-making capabilities for autonomous vehicles.

Deep Coopman Modeling
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