Family Moments
A collection of heartwarming snapshots with my beloved family.
Yang Gao is an associate professor at the South China University of Technology. Prior to my current role, I gained valuable experience as a Postdoctoral Researcher at Northwestern University from August 2021 to May 2022. His research interests include Human-computer-interaction, wearable computing, and AI. He leads the human-computer-interaction group.
PhD
University at Buffalo
PhD
Binghamton University
MS
Steven Institute of Technology
BS
UESTC
My research lies at the intersection of Human-Computer Interaction (HCI) and Ubiquitous Computing. I explore how multimodal signals from wearable devices—including motion, physiological, and semantic data—can be leveraged to recognize complex human activities and infer user intent. My work also contributes to the development of intelligent affective technologies that can sense, interpret, and respond to human emotional states in real time. More broadly, I aim to design intuitive and adaptive interaction paradigms that enable seamless collaboration between humans and intelligent systems, including robots, in everyday environments.
Please reach out to collaborate 😃
A collection of heartwarming snapshots with my beloved family.
Two of our papers in IMWUT ‘Feb Cycle’ (Motion2Press and KineticsSense) have been conditional accepted and will be presented at UbiComp 2025! We are excited to share our latest research and look forward to the discussions. More details will be available soon.
Our paper, “Wrist2Finger” has been conditional accepted to UIST 2025! Stay tuned for the full paper and presentation details.
A memorable journey to Yokohama for CHI 2025, blending cutting-edge HCI research with the vibrant culture of Japan.
We’re delighted to announce a double acceptance for CHI 2025, one full paper “SandTouch” and one Late-Breaking Work have both been accepted!
Our paper, “PressInPose”, submitted through the IMWUT ‘May Cycle’, has been accepted and will be presented at UbiComp 2025! We’re looking forward to sharing our findings with the pervasive computing community.