QIN S. Joe, Prof.

  • 8 Castle Peak Road, Tuen Mun

    Hong Kong

Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
1992 …2023

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Personal profile

Name in Chinese



Prof. S. Joe Qin is the President of Lingnan University, Hong Kong, China. He obtained his B.S. and M.S. degrees in Automatic Control from Tsinghua University in Beijing, China, in 1984 and 1987, respectively, and his Ph.D. degree in Chemical Engineering from University of Maryland at College Park in 1992. He is currently Chair Professor, Dean of the School of Data Science, and Director of Hong Kong Institute for Data Science at City University of Hong Kong. In his prior career he worked as the Fluor Professor at the Viterbi School of Engineering of the University of Southern California, Professor at the University of Texas at Austin, and Principal Engineer at Emerson Process Management.

Dr. Qin is a Fellow of the U.S. National Academy of Inventors, the International Federation of Automatic Control (IFAC), AIChE, and IEEE. He is a recipient of the 2022 IEEE CSS Transition to Practice Award, the 2022 AIChE CAST Computing in Chemical Engineering Award, the U.S. National Science Foundation CAREER Award, the 2011 Northrop Grumman Best Teaching award at Viterbi School of Engineering, the DuPont Young Professor Award, Halliburton/Brown & Root Young Faculty Excellence Award, NSF-China Outstanding Young Investigator Award, and recipient of the IFAC Best Paper Prize for a model predictive control paper published in Control Engineering Practice. He has served as Senior Editor of Journal of Process Control, Editor of Control Engineering Practice, Member of the Editorial Board for Journal of Chemometrics, and Associate Editor for several journals. He has published over 400 international journal papers, book chapters conference papers and presentations. He received over 37,000 Google Scholar citations with an h-index of 85. Dr. Qin’s research interests include data analytics, machine learning, process monitoring, model predictive control, system identification, smart manufacturing, smart cities, energy efficiency systems, and predictive maintenance.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities


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