Prof. Ni ZHAO
B.Eng. (Tsinghua University), M.S. (McMaster University), Ph.D. (University of Cambridge)
Senior Scientist, Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE)
Professor, Department of Electronic Engineering, Chinese University of Hong Kong (CUHK)
Prof. Ni Zhao received her Ph.D. degree in Physics from University of Cambridge (UK) in 2008. From 2008-2010 she worked as a postdoctoral research associate at the Research Laboratory of Electronics at Massachusetts Institute of Technology (USA). She joined the Department of Electronic Engineering at The Chinese University of Hong Kong in 2010 and is now a Full Professor. Her recent work focuses on development of low-cost energy harvesting devices, nanostructured optoelectronic devices and sensors for biomedical applications. Her research to date has generated over 170 journal publications, with an h-index of 60. Prof. Zhao was listed as Highly Cited Researchers 2018 by Clarivate Analytics and is a Fellow of Royal Society of Chemistry. Prof. Zhao is currently an Associate Editor of Science Advances and Journal of Materials Chemistry C.
Honors and Awards
Fellow of Royal Society of Chemistry
Outstanding Fellow of the Faculty of Engineering, CUHK, August 2021
Excellent Young Scientists Fund, China, September 2020
Research Excellence Award, Chinese University of Hong Kong, July 2019
Highly Cited Researchers, Clarivate Analytics (Web of Science), November 2018
CSJ Lectureship Award, Chemical Society of Japan, March 2018
Highlights of Recent Achievements
Prof. Zhao’s team has achieved the first epidermal (i.e., skin-like) optoelectronic sensor for low-power and continuous tracking of arterial blood pressure (BP).
Prof. Zhao’s team has developed the material solutions to address the processability and operational stability issues of perovskite solar cells and LEDs. Their pioneering work in composition tuning, precursor engineering and surface passivation has led to multiple “Highly Cited Papers” rated by Web of Science.
Prof. Zhao’s team has developed a multi-wavelength photoplethysmogram (MWPPG) model, which led to a new record in cuffless BP measurements for its lowest measurement error (< 2.5 mm Hg) and enabled simultaneous acquisition of heart rate, BP, respiratory rate and blood oxygen level with just one integrated optical module.