Yuntao Wang

Yuntao Wang’s research centers on physiobehavioral computing and intelligent interaction for mobile and wearable systems. His work focuses on (1) developing robust, efficient sensing that performs reliably on mainstream devices, (2) extracting spatiotemporal patterns from multimodal signals to infer interaction intent by leveraging natural behavioral correlations, and (3) designing edge-efficient interfaces that deliver high performance on mobile and wearable platforms. He has published 90+ papers, received 10 international conference awards, and holds 30+ granted patents. His contributions have been recognized with honors including the Wu Wenjun AI Outstanding Youth Award (2024), the CAST Young Elite Scientists Sponsorship Program (2022), the Qinghai High-Level Innovation & Entrepreneurship Leading Talent (2024), and the First Prize of the China Electronics Institute Science & Technology Award (2019).

Experience

Associate Professor (Research Track)

Department of Computer Science and Technology, Tsinghua University

Dec 2022 – Present

Leading research in physiobehavioral computing and HCI, securing national and industrial funding, mentoring graduate students, teaching CS/GIX courses, and serving in administrative roles for student affairs.

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Assistant Professor (Research Track)

Department of Computer Science and Technology, Tsinghua University

Jan 2019 – Dec 2022

Conducting research in HCI and ubiquitous computing, securing national and industrial funding, mentoring students, teaching CS courses, and serving in administrative roles for student affairs.

Visiting Faculty (Visiting Assistant Professor/Research Associate)

University of Washington

Feb 2018 – Mar 2021

“Conducting research in the Ubicomp Lab at CSE, serving as Technical Advisor for the GIX MSTI program, teaching “Managing Data and Signal Processing” and “Hardware/Software Lab 2” courses, and organizing the Access Computing Summer Program.”