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About

Renjie Ma is a rising researcher at the intersection of cyber-physical security, intelligent control systems, and autonomous robotics. Their work addresses critical vulnerabilities in modern industrial electronics, particularly through the study of adversarial false data injection (FDI) attacks—a contribution that has already garnered 33 citations and underscores the urgent need for secure defense mechanisms in networked industrial environments. Ma has also advanced adaptive event-triggered tracking control via switching functions, a method that promises greater efficiency in real-time autonomous operations. In the domain of mobile robotics, Ma’s research on multi-sensor fusion for positioning and navigation tackles the persistent challenge of cumulative error in single-sensor systems, offering a more robust solution for indoor autonomous navigation. Further extending their impact into biomedical engineering, Ma has developed a disturbance observer-based terminal sliding mode control to enhance training safety in robot-assisted rehabilitation, addressing the delicate balance between therapeutic efficacy and patient comfort. With a growing portfolio that bridges theoretical control design and practical safety-critical applications, Renjie Ma is establishing a reputation for developing resilient, human-aware autonomous systems.