Associate Professor at Tsinghua University, China
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Summary
Dr. Han Zhang is a Special Research Fellow and Doctoral Supervisor at the Institute for Network Sciences and Cyberspace, Tsinghua University. With a strong foundation in computer science and network security, he has cultivated a career that bridges advanced research and practical innovation in cyberspace governance and network science. His work spans interdisciplinary domains, driving impactful contributions in cybersecurity education and system-level network research. Committed to academic excellence and talent cultivation, Dr. Zhang is recognized for his mentorship and pioneering teaching reforms. He also actively leads collaborative international research, maintaining a strong presence in the global academic community.
Educational Background
Dr. Han Zhang earned his Ph.D. in Computer Science and Technology from Tsinghua University (2013.09–2018.07), under the supervision of Professor Xia Yin. During his doctoral studies, he was a visiting scholar at George Washington University (2016.10–2017.09), working with Prof. Lan Tian in the School of Electrical and Information Engineering. He holds a bachelor’s degree in Computer Science and Technology from Jilin University (2009.08–2013.06). His academic training reflects a solid grounding in both theoretical and applied aspects of computer science, forming the basis for his later work in network security and systems research.
Professional Experience
Dr. Zhang has served as a Special Research Fellow and Ph.D. advisor at the Institute for Network Sciences and Cyberspace, Tsinghua University. He was an Assistant Professor and Master’s Supervisor at the School of Cybersecurity, Beihang University. He has also led courses and supervised graduate research in programming and network security. His roles have consistently involved curriculum reform, student mentoring, and interdisciplinary research collaboration. Dr. Zhang’s academic positions reflect his commitment to both foundational research and the cultivation of next-generation cybersecurity professionals.
Research Interests
Dr. Zhang’s research interests encompass network science, cyberspace governance, system security, and cybersecurity education. His work integrates data-driven methodologies with system design to explore trust, resilience, and efficiency in networked systems. He is particularly focused on enhancing the security of critical infrastructure through intelligent algorithms and robust frameworks. Additionally, he investigates educational strategies for cultivating application-oriented cybersecurity talent. His interdisciplinary perspective positions him at the intersection of theoretical innovation and practical deployment, contributing to the strategic evolution of secure and sustainable digital ecosystems.
Author Metrics
Dr. Han Zhang has published extensively in high-impact journals and conferences in the fields of computer science and network security. He has co-authored significant teaching reform papers, including in Industrial and Information Technology Education, where he explored curriculum innovation and cybersecurity talent development. His academic work is accessible via NetSys Lab, and he has garnered increasing citations for both technical and pedagogical contributions. His collaborative and first-author papers reflect a balanced academic profile, with a growing international scholarly influence in cybersecurity education and network systems research.
Awards and Honors
Throughout his academic career, Dr. Zhang has received multiple accolades for excellence in research, teaching, and innovation. As a Party member, he actively engages in academic leadership and mentorship, contributing to institutional and national education reforms. His teaching reform initiatives have been recognized for their practical impact on developing high-caliber cybersecurity professionals. He has also led and participated in funded projects focused on network security and educational development. These honors reflect his sustained contributions to the advancement of both science and pedagogy in China’s evolving digital landscape.
Publication Top Notes
1. Centralized Network Utility Maximization with Accelerated Gradient Method
Authors: Y. Tian, Z. Wang, X. Yin, X. Shi, J. Yang, H. Zhang
Journal: IEEE Transactions on Networking
Year: 2025 (Forthcoming/Published)
Details: This paper presents a centralized algorithm using an accelerated gradient method for efficient network utility maximization, achieving faster convergence and scalable optimization for large-scale networks.
2. ACME++: A Secure Authorization Mechanism for ACME Clients in the Web PKI Ecosystem
Authors: T. Zhang, H. Zhang, Y. Wei, Y. Li, X. Shi, J. Wang, X. Yin
Conference: Proceedings of the ACM Web Conference (WWW)
Pages: 1058–1067
Year: 2025
Abstract: ACME++ strengthens the ACME protocol by introducing a novel, secure client authorization method within the Web PKI system, improving defense against client impersonation and replay attacks.
3. Poster: Scalable and Interpretable Multilayer Overlay Network Checking via Ensemble Verification
Authors: X. Liu, Y. Li, H. Zhang, X. Yin, X. Shi, Z. Wang, G. Ren, J. Yao
Conference: ACM SIGCOMM 2024 – Posters and Demos Track
Pages: 22–24
Year: 2024
Publisher: ACM
Description: This poster introduces an ensemble-based verification tool enabling scalable analysis and interpretability for multilayer overlay networks used in complex infrastructure setups.
4. Cost-efficient Flow Migration for SFC Dynamical Scheduling in Geo-distributed Clouds
Authors: W. Chen, Z. Wang, H. Zhang, X. Yin, X. Shi
Journal: Computer Networks
Volume: 249
Article Number: 110496
Year: 2024
Publisher: Elsevier
Abstract: This study introduces a dynamic, cost-optimized scheduling algorithm for service function chaining (SFC) across geographically distributed cloud environments, addressing performance and resource constraints.
5. ROV-GD: Improving the Measurement of ROV Deployment Using Graph Difference
Authors: J. He, Y. Li, H. Zhang, C. An, J. Wang
Conference: 2024 IEEE Symposium on Computers and Communications (ISCC)
Pages: 1–7
Year: 2024
Publisher: IEEE
Abstract: ROV-GD leverages graph-difference metrics to refine the measurement accuracy of Route Origin Validation (ROV) deployments, improving BGP routing security assessment.
Conclusion
Dr. Han Zhang exemplifies a modern cybersecurity researcher with a well-rounded profile in theoretical innovation, practical systems research, interdisciplinary integration, and educational reform. His affiliation with Tsinghua University, impactful publications in IEEE and ACM, and his leadership in cybersecurity education firmly establish him as a highly deserving recipient of the Best Researcher Award in Network Security.