Mingdong Li

Jiangnan University, Shanghai Jiao Tong University

Papers

Total Citations

H-Index

About

Mingdong Li is a researcher whose work bridges the frontiers of cyber-physical systems security and bio-inspired robotics. His most cited paper, "Data-driven replay attack detection for unknown cyber-physical systems" (2024, 9 citations), introduces a novel, model-free approach to safeguarding critical infrastructure—such as power grids or autonomous vehicles—against sophisticated replay attacks, a significant contribution to the field of control systems security. This work demonstrates his ability to tackle pressing real-world vulnerabilities using data-driven methods. Earlier, Li explored the intersection of biology and engineering with "Microbionic and peristaltic robots in a pipe" (2000, 7 citations), a pioneering study that laid groundwork for miniature, worm-like robots capable of navigating confined spaces, with potential applications in medical diagnostics and pipeline inspection. Though his citation counts are modest, they reflect a focused and impactful career, with his recent work gaining traction in the cybersecurity community. Li’s research showcases a rare versatility, from foundational robotics to modern data-driven security, making him a notable figure for students and researchers interested in the convergence of physical systems, autonomy, and safety.