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.

I am currently looking for self-motivated Ph.D. and Master’s students with backgrounds in Artificial Intelligence, Robotics, Human-Computer Interaction, and Circuit Design.

Contact: gaoyang2025 [AT] scut.edu.cn