Prof. Zhijie Fan | Network Security Situation Awareness | Best Researcher Award
Professor at The Third Research Institute of the Ministry of Public Security | China
Prof. Zhijie Fan is a distinguished cybersecurity scholar and professor at The Third Research Institute of the Ministry of Public Security in Shanghai, China. With over a decade of dedicated research in cyberspace and information security, his work spans IoT security, SDN network security, cyber threat intelligence, and security mechanism design for large-scale data systems. Recognized for his outstanding contributions, he has received multiple national and provincial honors, including the Second Prize of the Ministry of Public Security Scientific and Technological Progress Award and the Shanghai Science and Technology Progress Award.
Professional Profile:
Education:
Prof. Fan earned his Ph.D. in Cyberspace Security from Tongji University, Shanghai, following a Master’s degree in Computer Science and Technology from Zhejiang University, Hangzhou, and a Bachelor’s degree in Electronics and Information Engineering from Xi’an University of Architecture and Technology. He also completed a part-time Postdoctoral Fellowship in IoT Security at Fudan University, Shanghai and a visiting researcher program in SDN Network Security at the University of Ottawa, Canada.
Experience:
Prof. Fan has served as a Professor at The Third Research Institute of the Ministry of Public Security, focusing on information and cyber security. He has led and contributed to numerous national and provincial research projects, including the National Key R&D Programs of China, the Shanghai Talent Development Fund, and major Ministry of Public Security technology initiatives. His leadership extends beyond research into mentoring young scholars and contributing to security standards and policies at both the regional and national levels.
His distinguished career is marked by prestigious honors, including being named Special Expert by the Shanghai Science and Technology Commission, Academic Leader of Xuhui District, Shanghai, and Special Researcher at the People’s Public Security University of China.
Research Interest:
Prof. Zhijie Fan’s research is deeply rooted in advancing the field of cyber and information security, with a strong emphasis on developing innovative and scalable solutions to address modern security challenges. His core expertise spans IoT security and smart device protection, ensuring the resilience and privacy of interconnected systems, and Software Defined Networking (SDN) security, where he focuses on strengthening the integrity and defense of network infrastructures. He has made significant contributions to cybersecurity situation awareness, leveraging advanced models such as ResMLP and LSTM networks for intelligent threat detection and response. Additionally, Prof. Fan has conducted pioneering work in video surveillance and identity recognition, creating robust methods that integrate static and dynamic identification features for enhanced security applications. His research also addresses large-scale unified log data collection and cross-domain security mechanisms, enabling comprehensive monitoring and coordinated protection across diverse platforms. Central to his work is the integration of AI-driven cyber defense techniques, including graph embedding models, which contribute to the development of next-generation intelligent defense frameworks.
Publications Top Noted:
Dynamic Adaptive Mechanism Design and Implementation in VSS for Large-Scale Unified Log Data Collection
Year: 2024 | Cited: 12
Improved Message Mechanism-Based Cross-Domain Security Control Model in Mobile Terminals
Year: 2024 | Cited: 9
Video Surveillance Camera Identity Recognition Method Fused With Multi-Dimensional Static and Dynamic Identification Features
Year: 2023 | Cited: 21
Research on Key Method of Cyber Security Situation Awareness Based on ResMLP and LSTM Network
Year: 2023 | Cited 18
A Bayesian Graph Embedding Model for Link-Based Classification Problems
Year: 2022 | Cited 45
Conclusion:
Prof. Zhijie Fan’s groundbreaking work in cyber threat intelligence and network security situation awareness positions him as a leading figure in global cybersecurity research. His integration of AI techniques with scalable defense mechanisms addresses urgent modern challenges in IoT, SDN, and large-scale log data security. With an impressive portfolio of national honors and high-impact research contributions, he exemplifies the qualities of a Best Researcher Award recipient. Moving forward, his expertise and leadership will continue to shape the future of intelligent cybersecurity systems at both national and international levels.