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About

Dr. Maryam Shahriari‐kahkeshi is a leading researcher in the field of control systems engineering, with a primary focus on adaptive control, fault detection, and the security of multi-agent systems. Her work is distinguished by its rigorous approach to ensuring system stability and performance under challenging real-world conditions, including uncertainties, input constraints, and cyber-physical threats. A major contribution is her pioneering work on resilient consensus control for nonlinear multi-agent systems under false data injection attacks, where she developed a novel attack detection and isolation-based scheme to maintain system integrity. Her highly cited 2014 paper on adaptive fault detection and estimation for uncertain nonlinear systems (40 citations) laid foundational groundwork for this area. Dr. Shahriari‐kahkeshi is also recognized for her innovative use of neural networks and fuzzy logic systems to approximate complex dynamics, as demonstrated in her 2019 study on distributed adaptive consensus tracking with input saturation (19 citations) and her work on fuzzy control for robot manipulators. Her research, which has accumulated over 70 citations, is critical for advancing the safety and reliability of autonomous and networked systems.