
Sangwon Seo
Ph.D. Candidate in Computer Science
Rice University, Texas, USA
491 O'Connor Building
sangwon.seo@rice.edu
Hello!
I am a Ph.D. student in Computer Science at Rice University, TX, USA, working with Dr. Vaibhav Unhelkar. I recieved my M.S. and B.S. degrees from Seoul National University, South Korea. Prior to joining Rice University, I worked as a research engineer at Coreline Soft - a medical AI startup - and the Agency for Defense Development - a national research institute - in South Korea.
My research centers on Human-Robot Collaboration, Human-Centered AI and Human Behavior Modeling. Specifically, I am interested in:
- Modeling human behavior to develop more human-centric AI agents;
- Leveraging human knowledge in machine learning to enable training with limited data; and
- Complementing AI and human intelligence to enhance human-human and human-AI teamwork.
Selected Publications
Sangwon Seo and Vaibhav V. Unhelkar, “Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations,” AAMAS 2025
Sangwon Seo, Bing Han, Rayan E. Harari, Roger D. Dias, Marco A. Zenati, Eduardo Salas, and Vaibhav V. Unhelkar, “Socratic: Enhancing Human Teamwork via AI-enabled Coaching,” AAMAS 2025
Sangwon Seo and Vaibhav V. Unhelkar, “IDIL: Imitation Learning of Intent-Driven Expert Behavior,” AAMAS 2024
Sangwon Seo, “AI-Assisted Human Teamwork,” AAAI 2024 Doctoral Consortium
Sangwon Seo, Bing Han, and Vaibhav V. Unhelkar, “Automated Task-Time Interventions to Improve Teamwork using Imitation Learning,” AAMAS 2023
Sangwon Seo and Vaibhav V. Unhelkar, “Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations,” IJCAI 2022
Sangwon Seo, Lauren R. Kennedy-Metz, Marco A. Zenati, Julie A. Shah, Roger D. Dias, and Vaibhav V. Unhelkar, “Towards an AI coach to infer team mental model alignment in healthcare,” CogSIMA 2021