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Professor Dennis K. J. Lin Gave a Lecture at AMSS
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Update time: 2016-11-22
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Professor Dennis K. J. Lin, gave a lecture titled “Lin s Recent Work on Design of Experiments” at AMSS on 7, November, 2016. 

Computer models are often used to describe complicated physical phenomena encountered in science and engineering. It has become routine practice for most scientific investigation. These programs, due to the number and complexity of the equations, may have long running times. Specially-designed experiment is required to run these computer experiments much more efficiently. In this talk, he presented some recent research projects in design of experiment (mostly relevant to computer experiment) from my research group. This included, Design for On-Line Experiment, t-covering array, Order of Addition (OofA) experiment, New type of composite design, Fake Factor design, Run order consideration, as well as come new developments on Latin Hypercube design. For each subject, the general idea had been introduced, some initial results had been presented, and future research issues had been discussed. 

He is a university distinguished professor of supply chain and statistics at Pennsylvania State University. His research interests are quality assurance, industrial statistics, data mining, and response surface. He currently serves or has served as associate editor for more than 10 professional journals and was co-editor for Applied Stochastic Models for Business and Industry. Dr. Lin is an elected fellow of ASA, IMS and ASQ, an elected member of ISI, a lifetime member of ICSA, and a fellow of RSS. He is an honorary chair professor for various universities, including Renmin University of China (as a Chang-Jiang Scholar), Fudan University, and National Chengchi University (Taiwan). His recent awards include the Youden Address (ASQ, 2010), the Shewell Award (ASQ, 2010), the Don Owen Award (ASA, 2011), the Loutit Address (SSC, 2011), the Hunter Award (ASQ, 2014), and the Shewhart Medal (ASQ, 2015).  He is also  awarded SPES Award at the 2016 Joint Statistical Meeting. 

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