Mr. Hao Yan | Cyber security | Best Researcher Award

Mr. Hao Yan – Phd Candidate, Harbin Institute of Technology, Shenzhen and Peng Cheng Laboratory, China.

Hao Yan is a dedicated Ph.D. candidate at the Harbin Institute of Technology (Shenzhen), where he is also affiliated with the Peng Cheng Laboratory. With a strong foundation in computer science and a keen interest in cyberspace security, he has quickly established himself in the research community. His academic path reflects a passion for innovation, particularly in the fields of graph representation learning and network intrusion detection. Hao Yan continues to make meaningful contributions to adversarial learning methodologies and cyber attack defense strategies through innovative research and collaborative projects at national and institutional levels.

🎓 Education Background

Hao Yan began his academic journey with a Bachelor’s degree from Dalian Maritime University in 2019. He then pursued and earned his Master’s degree from Tianjin University in 2022. Currently, he is working towards his Ph.D. at the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). His education has been consistently aligned with his focus on computer science, cyber security, and advanced AI models. His academic background provides a solid technical and theoretical base for his ongoing research endeavors in cyberspace intelligence and adversarial learning.

🏢 Professional Experience

Currently, Hao Yan is actively engaged as a Ph.D. candidate and researcher at Harbin Institute of Technology (Shenzhen) and concurrently contributes to cutting-edge research at Peng Cheng Laboratory. He is involved in several prestigious research grants, including projects under the Shenzhen Science and Technology Program, Major Key Project of PCL, and the National Natural Science Foundation of China. He has worked on research solutions that integrate industry demands, such as advanced detection systems in network security. His practical research application reflects a seamless blend of academic theory and real-world cybersecurity challenges.

🏆 Awards and Honors

While formal recognitions are under process, Hao Yan’s growing influence is demonstrated by his research’s acceptance in top databases like Scopus, Web of Science, and Ei Compendex. His work has been supported by competitive grants such as the Shenzhen Science and Technology Program and the National Natural Science Foundation of China, showing trust in his research potential. Furthermore, his pending China patent (202510907668.2) represents his commitment to innovation and technological contribution. His consistent academic performance and recognition through funded projects are clear indicators of his rising reputation in the cybersecurity research domain.

🔬 Research Focus

Hao Yan’s research expertise lies at the intersection of Graph Representation Learning, Adversarial Learning, Cybersecurity, and Network Intrusion Detection. His core innovation, the Adversarial Hierarchical-Aware Edge Attention Learning Method (AH-EAT), introduces robust edge feature representation under adversarial conditions for hierarchical detection tasks. He explores novel ways to counter advanced cyber threats and adversarial manipulation in intelligent systems. His research demonstrates how graph structures and learning models can be applied for efficient, secure, and scalable cyber defense systems, making a valuable impact on future-oriented cybersecurity frameworks.

📌 Conclusion

In summary, Hao Yan is a promising young researcher whose work addresses key cybersecurity issues through intelligent algorithms and adversarial learning frameworks. With strong academic foundations, growing publication records, institutional support, and patent contributions, Hao has established a well-defined niche in network security and AI-based detection. His contributions are paving the way for more robust, intelligent, and secure cyberspace systems, and his research trajectory shows high potential for future academic and industry breakthroughs.

📚 Top Publications

Adversarial Hierarchical-Aware Edge Attention Learning Method for Network Intrusion Detection
🗓️ Published Year: 2023
📘 Journal: Applied Sciences (ISSN: 2076-3417)
📈 Cited by: 5 articles

Graph-based Deep Learning for Intrusion Detection under Adversarial Environments
🗓️ Published Year: 2023
📘 Journal: IEEE Access
📈 Cited by: 3 articles

Edge-Level Graph Attention for Adversarial Robust Cyber Threat Identification
🗓️ Published Year: 2024
📘 Journal: Computers & Security
📈 Cited by: 2 articles

Joint Embedding and Edge Learning for Cyber Threat Modeling
🗓️ Published Year: 2023
📘 Journal: Soft Computing
📈 Cited by: 1 article

Adversarial Robustness in Cyber Intrusion Graph Learning
🗓️ Published Year: 2024
📘 Journal: ACM Transactions on Cyber-Physical Systems
📈 Cited by: 1 article

Prof. Borka Jerman Blažič | Cyber Security Award | Best Researcher Award

Ljubljana, University of Ljubljana, Economic Department and Jožef Stefan Institute, Slovenia

Borka Džonova Jerman-Blazic is a full professor and scientific advisor at the Faculty of Economics, University of Ljubljana, where she teaches courses on “Telecommunication Services and Mechanism” and “Electronic Communications.” She is also the head of the Laboratory for Open Systems and Networks at the Jožef Stefan Institute in Ljubljana, Slovenia. With over 40 years of experience in academia and research, she has made significant contributions to the fields of telecommunications, information technology, and internet security. Her involvement in European and international projects has led to her recognition as a leader in these fields. She is actively engaged in shaping the digital future of Europe and beyond.

Publication Profile

Scopus

Education 🎓

Borka Džonova Jerman-Blazic earned a Master of Science degree in 1975 from the University of Ljubljana, specializing in Electrical Engineering and Computer Science. She completed her Ph.D. in 1981 at the University of Zagreb, Faculty for Natural Sciences in Croatia.

Experience 💼

Her professional career spans several decades, beginning in 1971 at the Jožef Stefan Institute, where she has held various roles, including Head of the Laboratory for Open Systems and Networks. As a full professor at the University of Ljubljana, she teaches courses in telecommunications and electronic communications. She has held visiting scientist positions at Iowa State University and Drake University in the U.S. (1982-1983) and has been involved in numerous European projects, including the RARE network and EUREKA. She has also served in leadership roles for various technical committees and research groups across Europe.

Awards and Honors 🏅

Borka Džonova Jerman-Blazic has received numerous accolades for her contributions to research and technology. These include the Plaque of Appreciation from IFIP and ACM Tai branches for her contributions to internet technology (1984), the Boris Kidrič State Foundation Award for Research Achievements (1987), and the Medal of Merit from the President of Slovenia for her pioneering work in introducing and developing the Internet in Slovenia (2017). In 2021, she received the State Award for Lifetime Achievement in Science and Research from the Slovenian Ministry for Science and Education.

Research Focus 🔬

Her research interests focus on cybersecurity, digital forensic research, and economic modeling of information security risk management. She has been involved in various EU-funded projects and has made significant contributions to the development of secure internet infrastructures and the application of interactive technologies in cybersecurity education. Her work also explores overcoming the digital divide and enhancing digital skills for elderly adults.

Conclusion 🏁

Borka Džonova Jerman-Blazic is a highly respected figure in the fields of telecommunications, internet security, and digital infrastructure. Her extensive academic and professional background, combined with her leadership in EU and international research projects, has positioned her as a key player in shaping the future of digital networks. Her contributions to both research and education continue to influence the development of advanced internet technologies and cybersecurity solutions worldwide.

Publications 📖

Teaching and learning cybersecurity for European youth by applying interactive technology and smart education – ERA Forum, 2020, 20(3), pp. 471–489 (Cited by 0)

Investigating crime in an interconnected society: will the new and updated EU judicial environment remove the barriers to justice? – International Review of Law, Computers and Technology, 2020, 34(1), pp. 87–107 (Cited by 1)

A new legal framework for cross-border data collection in crime investigation amongst selected European countries – International Journal of Cyber Criminology, 2019, 13(2), pp. 270–289 (Cited by 2)

Advancement in Cybercrime Investigation – The New European Legal Instruments for Collecting Cross-border E-evidence – Advances in Intelligent Systems and Computing, 2019, 918, pp. 858–867 (Cited by 2)

Eye tracking graphical passwords – Advances in Intelligent Systems and Computing, 2018, 593, pp. 37–44 (Cited by 4)

New method for determination complexity using in AD HOC cloud computing – 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2017 – Proceedings, 2017, pp. 188–191 (Cited by 1)

User bias in online trust systems: aligning the system designers’ intentions with the users’ expectations – Behaviour and Information Technology, 2017, 36(4), pp. 404–421 (Cited by 7)

Why That Picture? Discovering Password Properties in Recognition-Based Graphical Authentication – International Journal of Human-Computer Interaction, 2016, 32(12), pp. 975–988 (Cited by 8)

Borka Jerman Blažič | Cyber Security Award | Best Researcher Award