Shima Nazari

Principal Investigator
Assistant Professor

She/her/hers
1001 Academic Surge

  • Shima Nazari

    Education

    • Ph.D., Mechanical Engineering
      University of Michigan College of Engineering
    • Master of Science., Mechanical Engineering
      University of Michigan College of Engineering
    • Master of Science, Mechanical Engineering
      Sharif University of Technology
    • Bachelor's degree, Mechanical Engineering
      Sharif University of Technology
  • Professor Shima Nazari is the Principal Investigator (PI) of the CORE Lab at UC Davis, leading cutting-edge research in autonomous systems, control, and optimization.
    Her work spans game theory-based decision-making, model predictive control (MPC), and data-driven optimization techniques for intelligent transportation and robotic systems.
  • As an expert in vehicle automation, powertrain hybridization, and multi-agent coordination, Professor Nazari's research integrates control theory, artificial intelligence, and real-time computing to develop advanced algorithms for autonomous vehicles and sustainable mobility solutions. She also oversees the Davis Autonomous Race Car (DARC) project, fostering interdisciplinary collaboration between Mechanical & Aerospace Engineering and Computer Science.
  • Through her leadership, the CORE Lab continues to push the boundaries of control, robotics, and electrification, driving innovation in future transportation technologies.
Publications
  • An Automatic Tuning MPC with Application to Ecological Cruise Control M Abtahi, M Rabbani, S Nazari - IFAC-PapersOnLine, 2023
  • RSV-SLAM: Toward Real-Time Semantic Visual SLAM in Indoor Dynamic Environments M Habibpour, A Nemati, A Meghdari, A Taheri… - Proceedings of SAI Intelligent Systems Conference, 2023
  • 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
  • Powertrain Hybridization for Autonomous Vehicles S Nazari, N Gowans, M Abtahi - arXiv preprint arXiv:2309.17442, 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
  • Sizing and Life Cycle Assessment of Small-Scale Power Backup Solutions: A Statistical Approach A Abdolmohammadi, A Nemati, M Haas, S Nazari - IEEE Access, 2024
  • LiFePO4 Battery Thermal Modeling: Bus Bar Thermal Effects M Haas, A Nemati, S Moura, S Nazari - IFAC-PapersOnLine, 2024
  • Intelligent setpoint optimization for a range extender hybrid electric vehicle with opposed piston engine JA Drallmeier, S Nazari, C Solbrig, R Middleton… - Journal of Dynamic Systems,
  • Bayesian Optimization for Automatic Tuning of an Energy Aware 2-D Vehicle Platoon N Zhang, S Nazari, J Chen, X Xu, H Zhang - IEEE Transactions on Intelligent Vehicles, 2024
  • Lifetime cost analysis of concrete barriers and steel guardrails A Nemati, M Haas, D Torick, S Nazari - Scientific reports, 2024
  • 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
  • Combined Design and Control Optimization for a Series Hybrid Electric Vehicle with an Opposed Piston Engine M Haas, J Drallmeier, R Middleton, JB Siegel, S Nazari - IEEE Control Systems Letters, 2024