Professor Joe Qin is the Wai Kee Kau Chair Professor of Data and President of Lingnan University in Hong Kong. He obtained his B.S. and M.S. degrees in Automatic Control from Tsinghua University in Beijing and his Ph.D. degree in Chemical Engineering from University of Maryland at College Park. Qin’s research interests include data science and analytics, statistical and machine learning, industrial AI, process monitoring, model predictive control, system identification, smart manufacturing, smart cities, and smart energy management. Prof. Qin is a member of the European Academy of Sciences and Arts and Fellow of the Hong Kong Academy of Engineering, the U.S. National Academy of Inventors, IFAC, AIChE, and IEEE. He is the recipient of the 2022 AIChE CAST Computing Award, 2022 IEEE CSS Transition to Practice Award, the U.S. NSF CAREER Award. His hindices for Web of Science, SCOPUS, and Google Scholar are 71, 76, and 89, respectively.