AI for Digital Health: Enhancing Healthcare through Digital Biomarkers and Advanced Measurements
時間(Time)：10:30-11:30 AM, January 2 (Friday), 2026
地點(Place)：Lecture Hall R1-B1122
講者(Speaker)：Dr. Kai-Chun Liu (劉凱鈞)
Abstract
Artificial intelligence (AI), combined with next-generation sensing and wearable technologies, is transforming healthcare delivery by enabling high-quality physiological signal extraction beyond clinical settings, supporting continuous remote health monitoring, and empowering data-driven clinical decision-making. This presentation will discuss recent advances in digital biomarkers, wearable sensing, and AI-driven physiological signal measurement, showcasing practical digital health systems deployed in real-world settings, including digital mobility outcome assessment and contactless physiological and physical monitoring. By integrating machine learning, bio-signal processing, and clinical insight, these systems deliver objective, scalable solutions for long-term health monitoring, rehabilitation, and disease management. The presentation will highlight key algorithmic innovations, clinical findings, and translation pathways demonstrating how AI-enabled digital health solutions can enhance patient care and improve clinical outcomes.
Short Biography
Kai-Chun Liu received his M.S. and Ph.D. degrees in Biomedical Engineering from National Yang-Ming University, Taiwan, in 2015 and 2019, respectively. He is currently a Research Scientist in the Department of Mechanical Engineering at Stevens Institute of Technology, NJ, USA, and the Department of Rehabilitation and Regenerative Medicine at Columbia University Irving Medical Center, NY, USA. From 2018 to 2019, he was a visiting scholar at Friedrich-Alexander University Erlangen-Nuremberg, Germany. From 2020 to 2023, he was a Postdoctoral Researcher at the Research Center for Information Technology Innovation, Academia Sinica, Taiwan. He subsequently served as an Assistant Professor in the Department of Electronic Engineering at National Taipei University of Technology (2023–2024) and as a Postdoctoral Research Associate at the College of Information and Computer Sciences, University of Massachusetts Amherst (2024–2025).
Dr. Liu’s research focuses on AI-enabled digital health systems, with emphasis on digital biomarkers, wearable sensing, and machine learning for physiological signal analysis. He develops practical healthcare technologies and proof-of-concept prototypes by integrating bio-signal processing, data-driven modeling, and human-centered design to support diagnosis, monitoring, rehabilitation, and long-term health assessment in both clinical and home-based environments.