Majid Zamani

Majid Zamani is an associate professor in the Computer Science Department at University of Colorado Boulder. Between May 2014 and January 2019, he was an assistant professor in the Department of Electrical Engineering at Technical University of Munich where he led the Hybrid Control Systems Group. He received a Ph.D. degree in Electrical Engineering and an MA degree in Mathematics both from University of California, Los Angeles in 2012, an M.Sc. degree in Electrical Engineering from Sharif University of Technology in 2007, and a B.Sc. degree in Electrical Engineering from Isfahan University of Technology in 2005. He received the George S. Axelby Outstanding Paper Award from the IEEE Control Systems Society in 2023, the NSF Career award in 2022 and ERC starting grant and ERC Proof of Concept grant from the European Research Council in 2018 and 2023, respectively. His research interests include verification and control of cyber-physical systems, secure-by-construction synthesis, and compositional analysis and synthesis of interconnected systems. His research interests include verification and control of cyber-physical systems, hybrid systems, embedded control software synthesis, networked control systems, and incremental properties of nonlinear control systems.

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Verification and Synthesis of Autonomous Systems (Coursera) Coursera
University of Colorado Boulder

Verification and Synthesis of Autonomous Systems (Coursera)

Dive into the world of autonomous system verification with our expert-led online course. Gain a deep understanding of techniques like Lyapunov methods, reachability analysis, barrier certificates, and model checking to verify stability, regularity, and omega-regular properties in complex autonomous systems. Enhance your skills in designing controllers that enforce desired properties.

Jun 22nd 2026
4 Weeks
Modeling of Autonomous Systems (Coursera) Coursera
University of Colorado Boulder

Modeling of Autonomous Systems (Coursera)

Dive into the world of autonomous systems with our Modeling of Autonomous Systems course. Explore essential components like sensors and actuators, and delve into various modeling frameworks such as state-space representations and timed automata. Gain a deep understanding of how these principles come together to create effective autonomous systems.

Jun 1st 2026
4 Weeks
Requirement Specifications for Autonomous Systems (Coursera) Coursera
University of Colorado Boulder

Requirement Specifications for Autonomous Systems (Coursera)

Discover the art of requirement specification for autonomous systems with our expert-led course. From stability and invariance principles to advanced topics like linear temporal logic properties, gain a deep understanding of how to model requirements effectively. Explore non-deterministic finite and Büchi automata as powerful tools for recognizing complex patterns.

Jun 1st 2026
5-12 Weeks
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