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讲座:Big Data Opportunities: Systems Monitoring and Personalized Health Management

发布者:人力资源办公室    发布时间:2019-11-28

题 目:Big Data Opportunities: Systems Monitoring and Personalized Health Management

嘉 宾:Kwok L. Tsui, Chair Professor in the School of Data Science and the Department of Systems Engineering and Engineering Management at City University of Hong Kong.

主持人:蒋炜教授 上海交通大学安泰经济与管理学院

时 间:2019年12月12日(周四) 14:00-15:30

地 点:上海交通大学 徐汇校区包图 A303

内容简介:

Due to the advancement of computation power, sensor technologies, and data collection devices, the fields of systems monitoring and health management have been evolved over the past several decades under different names and application domains, such as statistical process control (SPC), process monitoring, health surveillance, prognostics and health management (PHM), engineering asset management (EAM), personalized medicine, etc. There are tremendous opportunities in interdisciplinary research of system monitoring through integration of SPC, system informatics, data analytics, PHM, and personalized health management. In this talk we will present our views and experience in the evolution of systems monitoring, challenges and opportunities, and applications in machine systems health management as well as human health management.

演讲人简介

Kwok L. Tsui is currently chair professor in the School of Data Science and the Department of Systems Engineering and Engineering Management at City University of Hong Kong. Prior to the current position, Dr. Tsui has been professor/associate professor in the School of Industrial and Systems Engineering at Georgia Institute of Technology in 1990-2011; and member of technical staff in the Quality Assurance Center at AT&T Bell Labs in 1986-1990. He received his Ph.D. in Statistics from the University of Wisconsin at Madison. Tsui was a recipient of the National Science Foundation Young Investigator Award. He is 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 International Statistical Institute; and U.S. representative to the ISO Technical Committee on Statistical Methods. Tsui was Chair of the INFORMS Section on Quality, Statistics, and Reliability and the Founding Chair of the INFORMS Section on Data Mining. Tsui’s current research interests include data mining, surveillance in healthcare and public health, prognostics and systems health management, calibration and validation of computer models, process control and monitoring, and robust design and Taguchi methods.

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