Name | CHIU Dah Ming |
Title | Professor |
Address | Rm 904 |
Telephone | 3653 6734 |
dmchiu@cihe.edu.hk | |
School | Felizberta Lo Padilla Tong School of Social Sciences |
Professor Dah Ming CHIU received his Bachelor degree from Imperial College London, and his Ph.D. degree from Harvard University. After working in high tech research labs in the US for a number of years, he joined the Department of Information Engineering at the Chinese University of Hong Kong in 2002. He served as department chairman from 2009 to 2015. He retired in 2017 and is currently an Emeritus Professor at CUHK. More recently, he joined St Francis University as a Research Professor and help found the Data Science Research Centre in January 2022. He serves as the Director of that research center.
His earlier research focused mostly on modeling and analyzing computer and networking systems. His most well-known contribution is analyzing how all the traffic flows in the Internet can use a distributed algorithm (called AIMD) to continuously achieve efficient and fair sharing of the Internet. This algorithm is adopted by Internet protocols and is mentioned by some researcher as "the most successful control algorithm ever deployed".
In recent years, his research interest has shifted towards applied data analysis, applied to different scenarios. One of the earlier effort (starting 2010) was to analyze academic publication's citation and co-authorship networks, trying to better understand academic influence, social connections and productivity, and various aspects of the academic ecosystem. Other efforts include: recommendation systems for social networks (collaboration with Tencent), ride-on-demand pricing (collaboration with a real-world car company), campus dormitory electricity usage reporting and policies (collaboration with Lee Woo Shing College of CUHK), and efficient panoramic video streaming through understanding user viewing behavior (collaboration with a start-up company).
At the Data Science Research Centre, Dah Ming has collaborated with different colleagues in research on applying data science to social policy and social services. The projects include (a) trying to explain why Hong Kong is doing some well in life expectancy, and how to measure and extend healthy life expectancy as well; (b) studying different ways to monitor poverty situation in Hong Kong and identifying the groups with most need for poverty alleviation; (c) analyzing the rent for subdivided units (SDUs) in Hong Kong, and studying methods to help; and (d) collaborating with various NGOs on applying data science to community projects.
B.Sc. Electrical Engineering, Imperical College London University
Ph.D. Applied Mathematics, Harvard University