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Kwok L. Tsui is a distinguished statistician whose work focuses on the statistics of quality, informatics, and data mining, and he is an expert on the problem of spurious patterns in big data. He has spent 24 years as a professor and department head at several major universities as well as a practical applied researcher. Prior to his university positions, he was for 4 years a member of Technical Staff at AT&T Bell Laboratories’ Quality Assurance Center. Dr. Tsui is currently head and chair professor in the Department of Systems Engineering and Engineering Management at City University of Hong Kong, before which he was a professor in the School of Industrial and Systems Engineering at the Georgia Institute of Technology.
A recipient of the National Science Foundation Young Investigator Award, he has served in numerous positions in professional statistical societies, including fellow of the American Statistical Association and the American Society for Quality; elected member of the International Statistical Institute; U.S. representative in the ISO Technical Committee on Statistical Methods; department editor of IIE Transactions; chair of the INFORMS Section in Quality, Statistics, and Reliability; and founding chair of the INFORMS Section in Data Mining. In addition to his work on statistical quality and reliability, Dr. Tsui’s current research includes health informatics, data mining, and surveillance in health care and public health, prognostics and health management, calibration and validation of computer models, bioinformatics, process control and monitoring, and robust design and Taguchi methods in industrial engineering. Dr. Tsui holds a Ph.D. from the University of Wisconsin.