Summary
Mei Su is an Associate Professor of Biomedical Engineering with a decade of academic experience and a prior eight-year industry background in network IC and medical device design. She combines expertise in biosignal analysis, medical image processing, and telehealth system development with applied deep learning for telerhabilitation and personalized music-based rehabilitation for elders and brain-injured patients. Mei leads multidisciplinary projects with hospitals and industry partners, including a spinal telecare initiative and a fall-assessment system, and serves in leadership roles for Taiwan’s Telecare Industry Association and Suicide Prevention Center. Her work bridges electronics, probability/statistics, and machine learning in both teaching and research, producing multiple journal and conference publications and recognized institutional research awards. Less obvious is her trajectory from hands-on circuit and IC design to leading AI-driven clinical systems, giving her a rare end-to-end perspective from silicon to patient care. Based in Taiwan, she is an active peer reviewer for international IEEE and computing journals, shaping research quality in telemedicine and health informatics.
9 years of coding experience
7 years of employment as a software developer
Graduate Intitute of electronic Engineering, Bioengineering and Biomedical Engineering, Graduate Intitute of electronic Engineering, Bioengineering and Biomedical Engineering at National Taiwan University