Luyao Niu
Papers
2
Total Citations
13
H-Index
2
About
Luyao Niu is a rising researcher in the field of safe and resilient cyber-physical systems (CPS), with a focus on ensuring safety under faults and cyber attacks. His work bridges control theory, robotics, and security, addressing critical challenges in autonomous systems, industrial manufacturing, and power grids. Niu’s major contributions include developing a timing-based framework for designing resilient CPS under safety constraints—a novel approach that has garnered 10 citations since 2023—and pioneering fault-tolerant neural control barrier functions (CBFs) for robotic systems, leveraging neural networks to adaptively guarantee safety despite sensor faults or attacks. His 2024 paper on neural CBFs, with 3 citations, showcases his ability to integrate machine learning with formal safety guarantees. Niu’s research is notable for its practical impact on real-world systems where safety failures can cause damage or endanger lives. By advancing resilient control strategies, he is shaping the future of trustworthy autonomous systems, making his work essential reading for students and researchers in CPS, robotics, and security.
Research Focus
Key Achievements
Top Papers
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