ECE Cyber-physical Systems, Control and Robotics Research

Our strengths in adaptive and robust control, assured autonomy, dependable and secure computing, and fluid mechanics lead the way in developing resilient robotic and cyber-physical systems.


Our research offers practical solutions and innovations in micro-grids; autonomous aerial, ground and underwater vehicles; medical devices and surgical robots.

Faculty

  • Homa Alemzadeh

    Homa Alemzadeh


    Homa Alemzadeh, assistant professor of electrical and computer engineering and by courtesy computer science, develops techniques and tools for assessment and design of resilient cyber-physical systems, in particular reliability, safety and security validation of medical CPS and surgical robots.

    Profile | Google Scholar

  • Nicola Bezzo

    Nicola Bezzo


    Nicola Bezzo, assistant professor of engineering systems and environment and electrical and computer engineering, leads the autonomous mobile robots lab, which focuses on developing techniques to increase resilience, autonomy, and assured safety of modern robotic and cyber-physical systems.

    Profile | Autonomous Mobile Robots Lab

  • Joanne Bechta Dugan

    Joanne Bechta Dugan


    Joanne Bechta Dugan, professor of electrical and computer engineering, focuses on probabilistic assessment of the dependability of computer-based systems.

    Profile

  • Barry W. Johnson

    Barry W. Johnson


    Barry W. Johnson, L.A. Lacy Distinguished Professor of electrical and computer engineering, conducts research that helps ensure the safety and security of computer-based systems that protect property and human lives, with an emphasis on cybersecurity, safety, biometrics, IoT and autonomous systems.

    Profile

  • Zongli Lin

    Zongli Lin


    Zongli Lin, Ferman W. Perry Professor of electrical and computer engineering, conducts research in control theory and its applications, including nonlinear control, coordinated control of multi-agent systems, reinforcement learning control and control systems with real-world constraints.

    Profile | Google Scholar

  • Daniel Quinn

    Daniel Quinn


    Daniel Quinn, assistant professor of mechanical and aerospace engineering and electrical and computer engineering, leads the smart fluid systems lab to inspire new technology at the boundary between fluid mechanics and cyber-physical systems.

    Profile | Smart Fluid Systems Lab

  • Gang Tao

    Gang Tao


    Gang Tao, professor of electrical and computer engineering, works in various areas of adaptive control theory and applications including adaptive control of systems with multiple inputs and multiple outputs, systems with nonsmooth nonlinearities, and systems with uncertain faults.

    Profile 

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