Hi there, this is Han-Ching Ou :)

About Me

I am a doctoral student in CS department at Harvard University, advised by Milind Tambe. I completed my B.S. in Electrical Engineering of National Taiwan University (NTU), M.S. in Computer Science group of EE department of NTU. I'm currently a member of Teamcore group which aim to use AI to tackle the most difficult social problems by assisting decision making of Governmental and Non-Governmental Organizations. I work on social networks analysis and game theory problems including behavior changing and disease prevention.

Research Interest: Social Network Analysis, Reinforcement Learning, Game Theory, Public Health Applications


  1. Han-Ching Ou*, Christoph Siebenbrunner*, Jackson Killian, Meredith B Brooks, David Kempe, Yevgeniy Vorobeychik, and Milind Tambe. 2022. “Networked Restless Multi-Armed Bandits for Mobile Interventions.” International Conference on Autonomous Agents and Multiagent Systems (AAMAS-22), 2022

  2. Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, and Milind Tambe, "Contingency-Aware Influence Maximization A Reinforcement Learning Approach." In Conference on Uncertainty in Artificial Intelligence (UAI-21), 2021

  3. Han Ching Ou, Haipeng Chen, Shahin Jabbari and Milind Tambe, "Active Screening for Recurrent Diseases: A Reinforcement Learning Approach." International Conference on Autonomous Agents and Multiagent Systems (AAMAS-21), 2021 best paper candidate.

  4. Ankit Bhardwaj*, Han Ching Ou*, Haipeng Chen, Shahin Jabbari, Milind Tambe, Rahul Panicker, and Alpan Raval. “Robust Lock-Down Optimization for COVID-19 Policy Guidance.” AAAI Fall Symposium 2020.

  5. Bryan Wilder, Marie Charpignon, Jackson Killian, Han-Ching Ou, Aditya Mate, Shahin Jabbari, Andrew Perrault, Angel Desai, Milind Tambe, Maimuna Majumder, "Modeling between-population variation in COVID-19 dynamics in Hubei, Lombardy, and New York City." Proceedings of the National Academy of Sciences of the United States of America (PNAS-20), 2020

  6. Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Alpan Raval, and Milind Tambe, "Who and When to Screen Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty", International Conference on Autonomous Agents and Multiagent Systems (AAMAS-20), 2020

  7. Han-Ching Ou, Milind Tambe, Bistra Dilkina, and Phebe Vayanos, "Imbalanced Collusive Security Games", Conference on Decision and Game Theory for Security (GameSec), 2018

  8. Bryan Wilder, Han Ching Ou, Kayla de la Haye, Milind Tambe, "Optimizing network structure for preventative health", International Conference on Autonomous Agents and Multiagent Systems (AAMAS-18), 2018

  9. Han-Ching Ou, Chung-Kuang Chou and Ming-Syan Chen, "Influence Maximization for Complementary Goods: Why Parties Fail to Cooperate?", in Proc. ACM Conference on Information and Knowledge Management (CIKM), 2016.

  10. Han-Ching Ou*, Po-Jung Chang*, "Applying Dynamic Hair Dyeing Simulation on FPGA to Improve User Experience and Life Quality", in Proc. Asia-Pacific Workshop on FPGA Applications, Nov, 2013. [* equal contribution]

Contact Information:

Office Address: Harvard University MD 213 Oxford St Cambridge, MA 02138

Email: hou@g.harvard.edu