News & Stories

2025

Prof. ZHANG Jiheng Commits to Development of Hong Kong’s Smart Hub
News
Industrial Engineering and Decision Analytics, Engineering
Prof. ZHANG Jiheng Commits to Development of Hong Kong’s Smart Hub
Prof. ZHANG Jiheng, born in Nanjing in the late 1970s, immersed himself in the captivating world of mathematics before transitioning to engineering at age 23 as a PhD candidate at Georgia Tech. After working for 12 years at HKUST, he embraced the challenge of leading the Department of Industrial Engineering and Decision Analytics (IEDA) as its Head, a role he had not foreseen but has grown to cherish. More recently, he has taken on the ambitious endeavor of contributing to Hong Kong’s vision as a smart hub through innovative Theme-Based Research.
Soft-spoken Nick Chin put into practice skills acquired at HKUST, where he obtained three degrees: PhD in Industrial Engineering and Logistics Management, MSc in Telecommunications, and BEng in Electronic Engineering.
News
Innovation, Alumni, Entrepreneurship, Artificial Intelligence, Bioengineering, Health, Industrial Engineering and Decision Analytics, Engineering
Engineer Who Made Hong Kong Home is Innovating Healthcare Technology
Pursuing undergraduate studies in Hong Kong 15 years ago marked the start of a highly rewarding journey for Malaysian native Dr. Nick CHIN Jing-Wei. He not only realized his dream of establishing a technology start-up, but also set up his own family here.

2022

News
Entrepreneurship, Artificial Intelligence, Industrial Engineering and Decision Analytics
Taking Your Pulse with Your Phone
A 30-second scan can get your vital signs before you see the doctor. The upheaval wrought by the COVID-19 pandemic has changed the world and businesses have had to quickly pivot in response to the new normal. Hong Kong start-up PanopticAI was one, seeing a demand for new methods of remote diagnosis and self-diagnosis in a time of social distancing.  Monitoring health with smartphones The company developed a fully remote wellness monitoring app with AI-enabled smart technology. Unlike existing wearable health-monitoring watches which use LED sensors, the app simply connects to the camera on a smartphone, tablet or computer to capture subtle changes of coloration in the skin due to changes in blood flow to obtain the user's health readings.