Navid Mojahed

  • Navid Mojahed

    Education

    • Ph.D., Applied mathematics
      University of Mazandaran, Babolsar
    • Masters's degree
      Amirkabir University, Tehran
    • Bachelor's degree, Mechanical Engineering
      Isfahan University of technology, Isfahan

    Navid’s research focuses on developing data-driven optimization techniques to approximate Nash equilibrium in multi-agent systems.
    His work involves leveraging game-theoretic frameworks to model strategic interactions and decision-making under uncertainty. By employing computationally efficient methods, he transforms complex equilibrium-finding problems into tractable optimization processes, ensuring robust and adaptive control strategies for dynamic systems.

    Approximate Nash Equilibrium