Kezhong Liu

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About

Dr. Kezhong Liu is a leading researcher at the intersection of autonomous systems, multi-agent control, and perception in adverse environments. His work addresses two critical frontiers: enhancing the reliability of autonomous perception and securing the coordination of multi-agent formations. Dr. Liu’s most impactful contributions include pioneering a method to enrich millimeter-wave (mmWave) radar point clouds using visual-inertial supervision, a breakthrough that significantly improves autonomous vehicle perception in fog, rain, and blizzards—conditions where LiDAR and cameras fail. This work has garnered 6 citations since its 2024 publication. In parallel, Dr. Liu has made foundational contributions to the security of distributed formation control systems, specifically developing defenses against displacement attacks that threaten uncrewed surface, underwater, and aerial vehicles. This research, also with 6 citations, addresses a critical gap in multi-agent system security. By tackling both perception robustness and control integrity, Dr. Liu is shaping the future of resilient, all-weather autonomous systems, making his work essential reading for researchers in robotics, control theory, and intelligent transportation.