Dr. Hui-Ling Chan is an Assistant Professor at National Cheng Kung University, Taiwan (since Aug. 2023). Prior to joining NCKU, she served as a Researcher and Assistant Professor at Hiroshima University, Japan (Sep. 2019–Jul. 2023), and worked as a Machine Learning Engineer at the Industrial Technology Research Institute (ITRI), Taiwan (Jan. 2018–Sep. 2019). She completed her postdoctoral training at National Chiao Tung University, Taiwan (Jul. 2015–Dec. 2017), and previously held a research internship at McGill University, Canada (Apr. 2013–Apr. 2014).

Her research advances intelligent computing for biomedical signals, with two tightly connected thrusts: (1) EEG/PPG/ECG-driven intelligent analytics for smart healthcare and smart living applications, and (2) precision medicine for noninvasive neuromodulation (taVNS). Over the past five years, she has developed advanced neurophysiological methodologies and EEG-centered systems for real-world assessment and prediction, while also pursuing biomarker-driven personalization of neuromodulation—aiming to translate brain–body signatures into predictive models, parameter recommendation, and clinically translatable pipelines.

BAISP Lab’s overarching theme is intelligent computing based on biomedical signals. We develop computational methods and AI systems that transform neurophysiological and physiological measurements into actionable insights and clinically meaningful decision support. Our research is organized into two major domains: 1) Intelligent Analytics for EEG/PPG/ECG and 2) Precision Medicine for Noninvasive Neuromodulation. Together, these two domains form a unified “sensing → modeling → personalization” loop: biomedical signals provide measurable biomarkers, AI models generate predictions and explanations, and neuromodulation offers an intervention pathway toward precision health.