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  • HOME
  • RESEARCH
  • PUBLICATIONS
  • LAB
  • TEACHING
    • Stochastic Hybrid Systems
    • Hybrid Systems
    • Nonlinear Systems
    • Adaptive Ctrl & RL
    • Extremum Seeking Systems
    • Discrete Mathematics
    • Stochastic Processes and Dyn. Syst.
    • Probability and Statistics
  • CONTACT
  • More
    • HOME
    • RESEARCH
    • PUBLICATIONS
    • LAB
    • TEACHING
      • Stochastic Hybrid Systems
      • Hybrid Systems
      • Nonlinear Systems
      • Adaptive Ctrl & RL
      • Extremum Seeking Systems
      • Discrete Mathematics
      • Stochastic Processes and Dyn. Syst.
      • Probability and Statistics
    • CONTACT

Jorge I. Poveda

Assistant Professor

Department of Electrical and Computer Engineering

Affiliate, Center for Control, Systems, and Dynamics (CCSD)

Affiliate, Department of Mechanical and Aerospace Engineering

Welcome!  I'm an Assistant Professor in the ECE Department at the University of California, San Diego. Broadly speaking, my research interests span the analysis and design of feedback-based systems for control, optimization, estimation, and learning. Our laboratory works on the development of foundational theories and algorithms for feedback-enabled autonomous machines in different engineering, societal, and biological systems. To achieve this overarching goal, our research combines tools from control theory, dynamical systems, optimization, game theory,  network science and machine learning. Application domains include cyber-physical systems (power systems, connected autonomous vehicles, transportation systems), robotic systems, and biotechnology. 

Prospective Students, Postdocs, and Visitors

We are always looking for highly motivated students, researchers, and visiting scholars with a strong mathematical background and interest in control, optimization, and learning systems. If interested, please reach out at poveda@ucsd.edu  For more information about admissions to UCSD please click this link.

Annual Updates and Highlights

  • Jun. 2025: New paper published in IEEE Transactions on Automatic Control on deception in Nash-equilibrium seeking for noncooperative games.

  • Mar. 2025: New paper accepted at the Learning for Dynamics and Control (L4DC) Conference on stochastic deception in non-cooperative games. Congrats to Michael!

  • Mar. 2025: New paper accepted at the Learning for Dynamics and Control (L4DC) Conference on model-free hybrid control with transformers in the loop. Congrats to Carolyn!

  • Jan. 2025: New paper published in IEEE Transactions on Automatic Control on model-free feedback optimization with safety guarantees.

  • Jan. 2025: New paper published in IEEE Transactions on Automatic Control on Lie-bracket averaging for hybrid dynamic inclusions.

  • Jan. 2025: Received the 2025 Jacobs School of Engineering Early Career Faculty Development Award (together with Prof. Bharadia)

  • Jan. 2025: Appointed as Associate Editor for Automatica in the area of Systems and Control Theory.

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