Xiaohua Feng

Papers

Total Citations

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About

Xiaohua Feng is a pioneering researcher at the intersection of robotics, cybersecurity, and digital forensics. Her work focuses on securing the Robot Operating System (ROS)—the backbone of modern industrial robots used in automotive, healthcare, and manufacturing. Feng’s major contribution is establishing the emerging field of ROS forensics: she developed the first methodology and toolset for acquiring and analyzing volatile data from compromised robots. Her seminal 2017 paper, “A Forensic Investigation of the Robot Operating System” (21 citations), demonstrates how hackers can disrupt robot operations and provides a framework for post-attack investigation. She further expanded this work in 2019, addressing the unique challenges of forensics in networked robotic systems (11 citations). Feng’s research is critical as robots become ubiquitous—her findings help manufacturers and security teams understand attack vectors, preserve digital evidence, and build more resilient systems. Her recent 2021 survey on robot edge intelligence and data (3 citations) explores how edge computing can enhance robotic security and autonomy. Feng’s work is foundational for anyone studying the security of autonomous systems, offering both practical tools and a roadmap for future research in robotic cyber forensics.