Shutian Liu

Shutian Liu

About Me

I will be joining the Department of Systems Engineering at City University of Hong Kong as a tenure-track assistant professor in June 2025.

I obtained my Ph.D. from the Department of Electrical and Computer Engineering at New York University in 2024. I received M.S. from the Department of Electrical Engineering at Columbia University in 2018 and B.E. from the Department of Automation at Tsinghua University in 2016.

Openings

I am actively looking for Ph.D. students starting in Fall 2025. If your research interests are compatible with mine, please contact me with your CV and unofficial transcripts.

Contact: shutian.liu AT cityu DOT edu DOT hk

Research Interests

My research interests lie broadly in Game Theory, Optimization/Control Theory, Risk Analytics/Management, Network Science, and their applications in multidisciplinary areas such as Adversarial AI, Socio-Technical Systems Security, Human Factors, Misinformation, and Public Health.

Some of my recent interests include:

  1. Information design/manipulation in partially observable Markov decision processes and games of incomplete information.
  2. Risk preference maneuvering in data-driven stochastic optimization and insurance contract design.
  3. Population games over complex networks: epidemic modelling and public health policy design.
  4. Information sharing network reconfiguration in AI for health.

Publications

Please find the timely updated list on my Google Scholar Profile.

Book Chapters

  1. S. Liu. and Q. Zhu, “Cyber insurance for cyber resilience”, in Automated Cyber Resilience, JohnWiley & Sons, to appear.

  2. F. Fang, S. Liu, A. Basak, Q. Zhu, C. D. Kiekintveld, and C. A. Kamhoua, “Introduction to game theory”, in Game Theory and Machine Learning for Cyber Security, JohnWiley & Sons, pp. 21-46, 2021

Jounral Articles

  1. S. Liu and Q. Zhu, “Stackelberg risk preference design”, Mathematical Programming, 2024.

  2. S. Liu, T. Li, and Q. Zhu, “Game-theoretic distributed empirical risk minimization with strategic network design”, IEEE Transactions on Signal and Information Processing over Networks, vol. 9, pp. 542-556, 2023.

  3. S. Liu, Y. Zhao, and Q. Zhu, “Herd behaviors in epidemics: a dynamics-coupled evolutionary games approach”, Dynamic Games and Applications, 12(1), pp.183-213, 2022.

  4. S. Liu and Q. Zhu, “Robust and stochastic optimization with a hybrid coherent risk measure with an application to supervised learning”, IEEE Control Systems Letters, 5(3), pp.965-970, 2020.

Conference Papers

  1. S. Liu and Q. Zhu, “On the role of risk perceptions in cyber insurance contracts”, 2022 IEEE Conference on Communications and Network Security: Cyber Resilience Workshop, Austin, TX, USA, October 2022.

  2. S. Liu and Q. Zhu, “EPROACH: a population vaccination game for strategic information design to enable responsible COVID reopening”, in American Control Conference (ACC 2022), Atlanta, Georgia, USA, June, 2022.

  3. S. Liu, Y. Zhao, and Q. Zhu, “Understanding the interplay between herd behaviors and epidemic spreading using federated evolutionary games”, in American Control Conference (ACC 2022), Atlanta, Georgia, USA, June, 2022.

  4. G. Peng, T. Li, S. Liu, J. Chen, and Q. Zhu, “Locally-aware constrained games on networks”, in American Control Conference (ACC 2021), virtual, May, 2021.

Working Papers

  1. S. Liu and Q. Zhu, “Dynamic information manipulation game,” under major revision for Mathematics of Operations Research, 2024.

  2. S. Liu and Q. Zhu, “Mitigating moral hazard in insurance contracts using risk preference design,” under major revision for Operations Research Letters, 2024.

  3. S. Liu and Q. Zhu, “On the impact of gaslighting on partially observed stochastic control,” arXiv preprint, 2023, arXiv:2304.01134.