Haozhe Zhou
Papers
1
Total Citations
5
H-Index
1
About
Haozhe Zhou is a researcher at the forefront of cybersecurity for autonomous systems, with a particular focus on safeguarding robotic networks from emerging threats. His most notable contribution is the development of RoboMal, a pioneering malware detection framework tailored specifically for robot network systems. This work, published in 2021, addresses the critical vulnerability of robots—from household assistants to guidance and emotional support bots—as they become more integrated into daily life and increasingly targeted by adversaries. With 5 citations, RoboMal has laid essential groundwork for securing complex robotic architectures against malicious attacks. Zhou’s research bridges the gap between robotics and cybersecurity, highlighting the urgent need for robust defense mechanisms in human-robot interaction environments. His work is particularly impactful for students and researchers exploring the intersection of AI, robotics, and security, offering a foundational approach to protecting the next generation of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1RoboMal: Malware Detection for Robot Network Systems5 citations · 2021