报告人： Jeff Wu, Georgia Institute of Technology
时间：2016-06-22 14:00 ~ 15:00
地点：理科一号楼1114
Abstract:
Because of the advances in complex mathematical models and fast computer codes, experiments on a computer have become popular in engineering and scientific investigations. Computer simulations can be much faster or less costly than running physical experiments. Research on computer experiments has progressed rapidly in the last 10 years. In this talk I will give an overview of the field. Difference from traditional physical experiments will be described. Some major development will be outlined, including multi-fidelity modeling, calibration, spatial-temporal model, and experimental design. In parallel to and independent of the work in statistics, applied mathematicians have approached the same problem under the banner of uncertainty quantification (UQ). Thus UQ can be viewed as an interface between applied math and statistics. A cursory introduction to UQ will be made. Some real examples will be given for illustrations.
About the Speaker:
C. F. Jeff Wu is Professor and Coca-Cola Chair in Engineering Statistics at the School of Industrial and Systems Engineering, Georgia Institute of Technology.
He was elected a Member of the National Academy of Engineering (2004), and a Member (Academician) of Academia Sinica (2000). A Fellow of the Institute of Mathematical Statistics (1984), the American Statistical Association (1985), the American Society for Quality (2002), and the Institute for Operations Research and Management Sciences (2009). He received the COPSS Presidents’ Award in 1987. His other major awards include the 2011 COPSS Fisher Lecture, the 2012 Deming Lecture, the Shewhart Medal (2008) from ASQ, and the Pan Wenyuan Technology Award (2008).
His work is widely cited in professional journals as well as in magazines, including a feature article about his work in Canadian Business and a special issue of Newsweek on quality. He has served as editor or associate editor for several major statistical journals like Annals of Statistics, Journal of American Statistical Association, Technometrics, and Statistica Sinica. Professor Wu has published more than 160 research articles in peer review journals. He has supervised 40 Ph.D.’s, out of which more than 25 are teaching in major research departments or institutions in statistics, engineering, or business in US/Canada/Asia/Europe.
