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About

Xenofon Koutsoukos is a leading researcher in cyber-physical systems (CPS), fault diagnosis, and networked robotics. His work bridges the gap between physical dynamics, computation, and communication, with a focus on ensuring safety and reliability in complex engineered systems. He has made foundational contributions to distributed fault diagnosis in multirobot systems, developing algorithms that allow robot teams to detect and isolate faults without relying on a central diagnoser—a critical capability for autonomous operations in manufacturing, surveillance, and space exploration. His research on passivity-based design for wireless networked control systems has advanced the robustness of CPS to time-varying delays, while his innovative use of RF Doppler shifts for mobile sensor localization and navigation has enabled precise tracking without GPS. Koutsoukos has also pioneered educational tools like RoboScape, a networked robotics environment for teaching cybersecurity and computer science to K-12 students. With over 124 citations for his seminal work on distributed diagnosis and a growing portfolio of highly cited papers, his impact spans both theoretical foundations and practical applications. His recent work on assurance monitoring of learning-enabled CPS using inductive conformal prediction addresses the critical challenge of verifying neural network behavior in safety-critical systems.