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Chenlan Wang
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Chenlan Wang
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Email: chenlanw@umich.edu 

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I am a postdoctoral research fellow in the department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. I received my B.Eng. degree in electronic and information engineering from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2015. I received my M.S. degree in 2017 and a Ph.D. degree in 2024 in electrical and computer engineering from the University of Michigan, Ann Arbor. My PhD advisor is Professor Mingyan Liu.

My research interests include game theory, social networks, and machine learning. I am also interested in animal behaviors and human factors. I aim to understand and model how different types of groups or social networks are formed under strategic settings, by looking at the decision-making process of multiple rational agents.  Most importantly, my models serve to provide new insights into real-world scenarios such as LA gangs and bird migration. More details can be found in my research and publications.

News:

  • [06/2025] - Our paper "The Ransomware Decade: The Creation of a Fine-Grained Dataset and a Longitudinal Study" was accepted by the 34th USENIX Security Symposium.

  • [06/2025] - I presented "Cross-Sector Partnership Formation for Community-Based Industries" at the Industry Studies Association (ISA) 2025 annual conference at MIT.

  • [04/2025] - Our paper "Cross-Sector Partnership Formation for Community-Based Industries" was accepted by the Industry Studies Association (ISA) 2025 annual conference.

  • [12/2024] - Our paper "Assessing Alcohol Use Disorder: Insights from Lifestyle, Background, and Family History with Machine Learning Techniques " was accepted by the 2025 International Symposium on Human Factors and Ergonomics in Health Care.

  • [08/2024] - Our paper "A Stackelberg Game Model of Flocking" was accepted in CDC 2024.

  • [05/2024] - I successfully defended my PhD dissertation "Cooperation for Better Competition: Group Formation Among Strategic Decision Makers".

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