Hao-Chuan Wang

Hao-Chuan Wang is an Associate Professor in the Department of Computer Science at the University of California, Davis, with affiliations in the Electrical and Computer Engineering Graduate Program. He previously served as a faculty member at National Tsing Hua University, Taiwan, from 2012 to 2018, where he was promoted to tenured Associate Professor. He holds a Ph.D. in Information Science from Cornell University and has conducted postgraduate research at Carnegie Mellon University and Academia Sinica.

His research lies at the intersection of Human-Computer Interaction (HCI), Computer-Supported Cooperative Work (CSCW), and Human-Centered AI, with a strong emphasis on collaborative systems, hybrid and remote work, video-mediated communication, and inclusive design for education and wellbeing. He employs mixed-method, human-centered approaches to design systems that support knowledge transfer, equity, and social interaction in distributed environments.

His recent publications focus on AI-supported learning, fairness in group work, reflective tools, and cross-cultural interactions with large language models. These works are published in top-tier venues such as CHI, CSCW, CUI, and WWW, reflecting his impact in the HCI community.

His scientific contributions have been recognized with several awards, including Best Student Paper at The Web Conference 2021, Best Demo Award at Augmented Humans 2021, Distinguished Paper Award at PACM IMWUT 2018, and multiple Honorable Mention awards at CHI and CSCW.

• Best Student Paper Award, The Web Conference (WWW) 2021
• Best Demo Award, Augmented Humans International Conference 2021
• PACM IMWUT Distinguished Paper Award, Ubicomp 2018
• Honorable Mention Paper Award, CHI 2015
• Honorable Mention Paper Award, CHI 2018
• Honorable Mention Paper Award, CSCW 2018
• Best Poster Award, ITS 2006

Wang actively contributes to the academic community through leadership roles in ACM SIGCHI, including serving as VP Finance (2024–2027), Workshop Chair for CHI 2025–2026, and Associate Editor for the Journal of Information Science and Engineering. He has advised numerous students whose research appears in major conferences, and his work bridges computer science, communication, design, and learning sciences, reflecting a deeply interdisciplinary and impactful scholarly profile.