| Speaker: | Dennis K.J. Lin, University Distinguished Professor, Department of Statistics, The Pennsylvania State University, University Park, USA. |
| Abstract: | With the merge of AI (artificial intelligent), IoT (Internet of Things) and BD-Stat (Big Data and Statistics), the modern Data Science (DS) is the final product. It is said that “Statistics can play in anyone else’s backyards,” but Statistics needs its own identity to be a professional discipline. This talk will discuss the role of Statistics in the era of Data Science and beyond. The past/present/future of AI, IoT & BD-Stat will be discussed. Specific examples and open discussion will be given in the talk.
报告人简介：Dr. Dennis K. J. Lin is a university distinguished professor of supply chain and statistics at Penn State University. His research interests are quality assurance, industrial statistics, data mining, and response surface. He has published more than 200 SCI/SSCI papers in a wide variety of journals. 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 a Chang-Jiang Scholar at Renmin University of China, Fudan University, and National Chengchi University (Taiwan). His recent awards including, 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). Last year, he was awarded the SPES Award at the 2016 Joint Statistical Meeting. |
