You're invited to a seminar with Dr. Mohammad Khajenejad, a postdoctoral scholar in the mechanical and aerospace engineering department at the University of California San Diego, titled "From Dynamical System Properties to Robust, Resilient, and Private Autonomy." 

Abstract: A large number of cyber-physical systems (CPS), such as unmanned aircraft systems, smart power grids, industrial robots, intelligent robotic systems, autonomous vehicles, transportation networks, air traffic systems, and supply chains are characterized as collections of interacting subsystems with ambiguous or unknown models and are acted upon by multiple decision makers with hard-to-model and heterogeneous intentions and behaviors (malicious, competitive, cooperative, stubborn). Such large-scale systems are present in all societal sectors, from critical infrastructure, manufacturing, energy, and agriculture to service sectors. Motivated by this, his research agenda contributes to designing distributed, tractable, robust, resilient, and private sequential decision-making algorithms in multi-modal and switched cyber-physical systems that are compromised by adversarial or malicious agents and are subject to various forms of real-world uncertainties.

In this talk, Dr. Khajenejad will discuss how we can leverage dynamical system properties, such as mixed-monotonicity, strong observability, and network positive detectability, along with control-theoretic and set-based approaches, to develop tractable and computationally efficient algorithms for robust reachability analysis, state and attack estimation, and privacy-preserving mechanism design in cyber-physical robotic systems.

Biography: Dr. Mohammad Khajenejad is a Postdoctoral Scholar at the Department of Mechanical and Aerospace Engineering at the University of California, San Diego (UCSD), working with Prof. Sonia Martínez. He received his Ph.D. in Mechanical Engineering from Arizona State University (ASU) in 2021, where he worked in the Intelligent Control and Estimation of Things (ICE-T) Laboratory under the tutelage of Prof. Sze Zheng Yong. His Ph.D. thesis received the 2021 ASU Dean’s Dissertation Award in the Ira A. Fulton Schools of Engineering. He is the author or co-author of diverse papers published in refereed conference proceedings and journals such as Transactions on Automatic Controls, International Journal of Robust and Nonlinear Control, and IEEE Control Systems Letter. His research interests lie broadly in the design of tractable and computationally efficient set-theoretic methods for resilient, robust, and private estimation, learning, verification, optimization, and control of complex safety-critical networked Cyber-Physical Systems.