Summary
Zonghua Zhang is a professor and seasoned researcher with over a decade of industry experience and more than 15 years in academia, specializing at the crossroads of security, networking, and machine learning. He has led research teams at Huawei Paris Research Center building AI-enabled autonomous driving and network platforms, and founded the NEPS research group to advance autonomic cyberdefense and AI-driven network resilience. Holder of a Ph.D. from JAIST and an HDR from UPMC, he has been PI or key contributor on a dozen+ national and international projects, producing nearly 100 publications and earning multiple best-paper awards and a JSPS long-term fellowship. Known for translating deep theory into practical systems, he combines decision-theoretic and ML approaches to anomaly detection, root-cause analysis and trust management across enterprise, SDN/NFV and IoT contexts. He also drives cyber resilience education and startup seeding activities from his base in Shenzhen while maintaining strong international collaboration and conference leadership.
10 years of coding experience
15 years of employment as a software developer
Ph.D., Information Science, Ph.D., Information Science at Japan Advanced Institute of Science and Technology
M.Sc., Computer Science, M.Sc., Computer Science at Xidian University
Chinese, English, French, Japanese