Professor Shu-Kai Fan

Education:

PhD, The University of Texas at Arlington, Major:Industrial Engineering.

MS, University of Pittsburgh, Major:Industrial Engineering.

BS, Tunghai University, Major:Industrial Engineering.

Biography:

Shu-Kai Fan received the Ph.D. degree in industrial, manufacturing, and systems engineering from the University of Texas at Arlington, Arlington, TX, USA, in 1996.,He is currently a Professor with the Department of Industrial Engineering and Management, National Taipei University of Technology (NTUT), Taipei, Taiwan. His current research interests include quality engineering, image processing, big data analytics, machine/deep learning, and advanced process control of semiconductor manufacturing. Dr. Fan serves as an Editor-in-Chief for Engineering Optimization (Taylor and Francis) and the Convener for the Industrial Engineering and Management (IEM) Program, National Science and Technology Council (NSTC), Taiwan, from 2020 to 2022.

Professor Kwok L. Tsui

Education:

Ph.D. in Statistics, University of Wisconsin at Madison.

M.S. in Mathematics, The Chinese University of Hong Kong.

B.S. in Chemistry, The Chinese University of Hong Kong.


Biography:

Kwok L. Tsui received the Ph.D. degree in statistics from the University of Wisconsin–Madison, Madison, WI, USA, in 1986.,He was a Chair Professor with the Department of Systems Engineering and Engineering Management, School of Data Science, City University of Hong Kong, Hong Kong, from 2009 to 2020. He was a Professor and an Associate Professor with the School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA, from 1990 to 2011. He was a member of Technical Staff with the Quality Assurance Center, AT&T Bell Laboratories, Holmdel, NJ, USA, from 1986 to 1990. He is currently a Professor with the Grado Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA. His current research interests include data science and data analytics, surveillance in healthcare and public health, personalized health monitoring, prognostics and systems health management, calibration and validation of computer models, process control and monitoring, and robust design and Taguchi methods.,Dr. Tsui is a fellow of the American Statistical Association, American Society for Quality, International Society of Engineering Asset Management, and Hong Kong Institution of Engineers; elected council member of the International Statistical Institute; and U.S. representative to the ISO Technical Committee on Statistical Methods. He was a recipient of the National Science Foundation Young Investigator Award. He was the Chair of the INFORMS Section on Quality, Statistics, and Reliability and the Founding Chair of the INFORMS Section on Data Mining.

EMAIL: amie2020amie2022@gmail.com

Yuan Ze University
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2022/11/18~19:
National Sun Yat-sen University
Address: No.70 Lien-hai Rd., Kaohsiung 804, Taiwan, R.O.C.