Welcome – New Dean (Professor S. Joe QIN)

The School of Data Science is excited to announce the appointment of Professor S. Joe QIN as Chair Professor of Data Science and concurrently as the inaugural Dean of School of Data Science.

Professor S. Joe Qin obtained his B.S. and M.S. degrees in Automatic Control from Tsinghua University in Beijing, China, and his Ph.D. degree in Chemical Engineering from University of Maryland at College Park. He is currently the Director of the Center for Machine and Process Intelligence and Fluor Professor at the Viterbi School of Engineering of the University of Southern California.

Professor Qin is a Fellow of AIChE, IEEE, and the International Federation of Automatic Control (IFAC). He is a recipient of the 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 survey paper published in Control Engineering Practice. He has served as a Senior Editor of Journal of Process Control, Editor of Control Engineering Practice, a 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, delivered over 50 invited plenary or keynote speeches and over 120 invited technical seminars worldwide. He received over 13,100 Web of Science citations with an h-index of 54, 17,000 Scopus citations with an h-index of 60, and 30,000 Google Scholar citations with an h-index of 70.

Professor Qin’s research interests include data analytics, machine learning, process monitoring and fault diagnosis, model predictive control, system identification, semiconductor manufacturing control, building energy optimization, and predictive maintenance.