About
Mohammad Khajenejad, Ph.D., is an assistant professor of mechanical engineering and electrical and computer engineering, specializing in estimation, verification, and robust control of nonlinear and hybrid dynamic systems. During his Ph.D. (2018-21), Khajenejad worked at Arizona State University on guaranteed reachability analysis, state estimation, and resilient control of uncertain nonlinear systems subject to different uncertainty models and malicious agents/attackers. His Ph.D. thesis: “Set-Valued Methods for Reachability Analysis and Estimation of Nonlinear Dynamical Systems” won the prestigious 2021 ASU Dean’s Dissertation Award. Then, Khajenejad extended his work to distributed privacy-preserving and resilient optimization and estimation in adversarial networked cyber-physical systems during his postdoc at the University of California, San Diego (2022-24).
Khajenejad’s long-term research agenda is to draw on various tools from control theory, machine learning, and decision sciences to design distributed, tractable, robust, safe, and private sequential decision-making algorithms for multi-modal and switched cyber-physical robotic systems.
Awards and Honors
- U.S. Army Research Laboratory (ARL) Award for Basic and Applied Scientific Research (2023)
- DAAD AInet Fellowship for the Postdoc-NeT-AI in Cyber-Physical Systems (2022)
- ASU Dean’s Dissertation Award in the Ira A. Fulton Schools of Engineering (2021)
- ASU-ISSC Inspiring Global Citizen Award (2021)
Education
- Ph.D., Arizona State University
Dissertation: “Set-Valued Methods for Reachability Analysis and Estimation of Nonlinear Dynamical Systems” - M.S., University of Tehran
Dissertation: “Modeling and Analysis of Dynamic Games With Incomplete Information Such as Micro-Economic Systems” - B.S., University of Tehran
Research interests and areas of expertise
- Estimation
- Control
- Distributed optimization
- Learning and autonomy
- Game theory
- Smart grids
- Multi-agent autonomous systems
- Safe, secure, and resilient cyber-physical systems
- Data-driven decision-making
- Uncertain nonlinear and hybrid systems
- Robust control
- Privacy-preserving mechanisms