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. He is a recipient of an NSF-CPS award on “Combining guaranteed privacy and resiliency in dynamic cyber-physical systems” (2025).
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 & Honors
- Award for “Combining guaranteed privacy and resiliency in dynamic cyber-physical systems,” NSF-CPS, 2025
- Basic and Applied Scientific Research Award, U.S. Army Research Laboratory (ARL), 2023
- Postdoc-NeT-AI in Cyber-Physical Systems Fellowship, DAAD AInet, 2022
- Dean’s Dissertation Award in the Ira A. Fulton Schools of Engineering, Arizona State University, 2021
- Inspiring Global Citizen Award, ASU-ISSC, 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 & 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
