教育背景

    北京理工大学学士

    美国纽约大学博士

工作履历

     2022年9月至今清华大学工作

研究领域

         空间信息网络安全与管控、物理信息系统安全、博弈论和强化学习

研究概况

从事物理信息系统安全的博弈理论、空天地信息网络攻防建模和安全策略相关研究

奖励与荣誉

     美国运筹学与管理科学学会（INFORMS）Koopman Prize

    清华大学水木学者

学术成果

          学术论文：

   [1] L. Huang, P. Liu, X. Chen, C. Jiang, L. Kuang and J. Lu, A Consolidated Game Framework for Cooperative Defense against Cross-Domain Cyber Attacks in Satellite-Enabled Internet of Things. IEEE Internet of Things Journal.

   [2] Huang, L., & Zhu, Q. (2023, October) ZETAR: Modeling and Computational Design of Strategic and Adaptive Compliance Policies. IEEE Transactions on Computational Social Systems.

   [3] Huang, L., & Zhu, Q. (2022, October). RADAMS: Resilient and adaptive alert and attention management strategy against Informational Denial-of-Service (IDoS) attacks. Computers & Security, 121, 102844.

   [4] Huang, L., Jia, S., Balcetis, E., & Zhu, Q. (2022). ADVERT: An Adaptive and Data-Driven Attention Enhancement Mechanism for Phishing Prevention. IEEE Transactions on Information Forensics and Security, 17, 2585–2597.

   [5] Huang, Y., Huang, L., & Zhu, Q. (2022). Reinforcement Learning for feedback-enabled cyber resilience. Annual Reviews in Control, 53, 273–295.

   [6] Huang, L., & Zhu, Q. (2021). Duplicity Games for Deception Design With an Application to Insider Threat Mitigation. IEEE Transactions on Information Forensics and Security, 16, 4843–4856.

   [7] Huang, L., & Zhu, Q. (2022, October). A Dynamic Game Framework for Rational and Persistent Robot Deception With an Application to Deceptive Pursuit-Evasion. IEEE Transactions on Automation Science and Engineering, 19(4), 2918–2932.

   [8] Zhao, Y., Huang, L., Smidts, C., & Zhu, Q. (2020, September). Finite-horizon semi-Markov game for time-sensitive attack response and probabilistic risk assessment in nuclear power plants. Reliability Engineering & System Safety, 201, 106878.

   [9] Huang, Y., Chen, J., Huang, L., & Zhu, Q. (2020, January 16). Dynamic games for secure and resilient control system design. National Science Review, 7(7), 1125–1141.

   [10] Huang, L., & Zhu, Q. (2020, February). A dynamic games approach to proactive defense strategies against Advanced Persistent Threats in cyber-physical systems. Computers & Security, 89, 101660.

   学术专著：

   [1] Huang, L., & Zhu, Q. (2023, July 3). Cognitive Security: A System-Scientific Approach. Springer. https://doi.org/10.1007/978-3-031-30709-6

   [2] Smidts, C., Ray, I., Zhu, Q., Vaddi, P. K., Zhao, Y., Huang, L., Diao, X., Talukdar, R., & Pietrykowski, M. C. (2022, October 11). Cyber-Security Threats and Response Models in Nuclear Power Plants. Springer.