I'm currently a postdoctoral researcher at UC San Diego, working with Professor Sonia Martinez on privacy-preserving and resilient optimization and estimation in adversarial networked cyber-physical systems. During my Ph.D. (2018-2021), I worked with Prof. Sze Zheng Yong at Arizona State University on guaranteed reachability analysis and state estimation of uncertain nonlinear systems, as well as resilient estimation in cyber-physical systems subject to different uncertainty models and malicious agents/attackers. My Ph.D. thesis: "Set-Valued Methods for Reachability Analysis and Estimation of Nonlinear Dynamical Systems" [pdf] won the prestigious 2021 ASU Dean's Dissertation Award. My 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. If you are interested in my work or have questions or comments, please fell free to contact me via mkhajenejad@ucsd.edu .
I'm currently a postdoctoral researcher at UC San Diego, working with Professor Sonia Martinez on privacy-preserving and resilient optimization and estimation in adversarial networked cyber-physical systems. During my Ph.D. (2018-2021), I worked with Prof. Sze Zheng Yong at Arizona State University on guaranteed reachability analysis and state estimation of uncertain nonlinear systems, as well as resilient estimation in cyber-physical systems subject to different uncertainty models and malicious agents/attackers. My Ph.D. thesis: "Set-Valued Methods for Reachability Analysis and Estimation of Nonlinear Dynamical Systems" [pdf] won the prestigious 2021 ASU Dean's Dissertation Award. My 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. If you are interested in my work or have questions or comments, please fell free to contact me via mkhajenejad@ucsd.edu .
I will be joing the University of Tulsa as an assistant professor from Fall 2024. If you are interested in my research, have a solid background in controls, optimization, estimation or game theory, and are willing to do a PhD with me in mechanical engineering, electrical engineering, computer science, or applied math, feel free to shoot an email to mkhajenejad@ucsd.edu with your CV.