Authors
Associate Professor (Research Track)
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).