I am a Ph.D. candidate in the Department of Computer Science at Tufts University, advised by Dr. Elaine Schaertl Short. I am a member of Assistive Agent Behavior and Learning Lab. Previously, I obtained my Master's degree in Computer Science from Johns Hopkins University, advised by Dr. Chien-Ming Huang and Dr. Russell H. Taylor.
My main research interests are Human-Robot Interaction, Human-centered AI/RL, Multimodal Learning and Multi-agent Systems. I focus on understanding and modeling human behavior in interactive systems, with the goal of enabling robots/AI agents to adapt to diverse human inputs and preferences.
Additionally, I am passionate about leveraging AI for accessibility and social good, especially in the fields of healthcare and education. If you would like to chat about graduate life or research ideas related to AI/HRI/HCI, feel free to email me to schedule a meeting. I also encourage students from underrepresented groups to reach out and will prioritize these meetings.
🚩 I'm seeking full-time academic or industry positions starting in late 2026 through 2027. Feel free to reach out if you have any opportunities!
For a more comprehensive list of my publications, please refer to my Google Scholar page.
Yuanli Wang, Yaoyao Qian, Yue Zhang, Hanhan Zhou, Jindan Huang, Tianfu Fu, Qiuyang Mang, Huanzhi Mao, Wenhao Chai, Wendong Fan and Liqiang Jing
Conference on Empirical Methods in Natural Language Processing (EMNLP), Budapest, Hungary, October 2026
Si Liu, Jindan Huang, Zhengyan Huan, Michael C. Hughes, Jivko Sinapov
IEEE International Conference on Robotics & Automation (ICRA), Vienna, Austria, June 2026
Isaac Sheidlower, Jindan Huang, James Staley, Bingyu Wu, Qicong Chen, Reuben M. Aronson, Elaine Schaertl Short
ACM/IEEE International Conference on Human-Robot Interaction (HRI), Edinburgh, Scotland, March 2026
Yaoyao Qian, Yuanli Wang, Jinda Zhang, Yun Zong, Meixu Chen, Hanhan Zhou, Jindan Huang, Yifan Zeng, Xinyu Hu, Chan Hee Song, Danqing Zhang
Conference on Neural Information Processing Systems (NeurIPS) Workshop: Multi-Turn Interactions in Large Language Models, San Diego, California, December 2025
Qidi Fang*, Hang Yu*, Shijie Fang, Jindan Huang, Qiuyu Chen, Reuben M. Aronson, Elaine Schaertl Short
IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Eindhoven, Netherlands, August 2025
Jindan Huang, Isaac Sheidlower, Reuben M. Aronson, Elaine Schaertl Short
International Conference on Human-Agent Interaction (HAI), Swansea, UK, December 2024
Jindan Huang, Reuben M. Aronson, Elaine Schaertl Short
ACM/IEEE International Conference on Human-Robot Interaction (HRI), Boulder, Colorado, March 2024
Julia Oppenheim*, Jindan Huang*, Isabel Won, Chien-Ming Huang (*equal contribution)
ACM/IEEE International Conference on Human-Robot Interaction (HRI), Virtual, March 2021
Xingtong Liu, Maia Stiber, Jindan Huang, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Lima, Peru, October 2020
Jieyu Zhang, Jindan Huang
International Conference on Intelligent Computation Technology and Automation (ICICTA), Changsha, China, September 2018
We develop a system combining Misty’s sensing and actuation capabilities with language models (LLMs/VLMs) to achieve seamless multimodal communication. It supports multi-turn dialogue via speech recognition and basic scene understanding through Misty’s camera, with additional features under development.