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“When Design of Experiment Meets Computing”

Dr. Wei Zheng
Associate Professor
Department of Business Analytics and Statistics
The University of Tennessee
Friday, August 30, 2019
2:30-3:30pm   JDT 410


The design of experiment (DOE) is to collect the data in the most informative way for the scientific questions of interest at a minimum cost. Experiments are needed in scientific discovery, clinical trials, business operations, etc. In this talk, I would present my recent works on some “non-traditional” experiments. The first one is to study how to best select a batch of units out of a large pool. The second one is the efficient computing of an important type of statistics using DOE ideas. The third one, if time permitted, is to approximate the integration of an expensive to evaluate black box function efficiently by the DOE idea.


Wei Zheng is currently an Associate Professor at the Department of Business Analytics and Statistics (BAS), Haslam College of Business (HCB), the University of Tennessee Knoxville (UTK). He was an Assistant Professor in Indiana University-Purdue University Indianapolis before joining UTK. He received his Ph.D. degree from University of Illinois at Chicago. He has a B. S. degree from Zhejiang University. He has published many papers in top journals such as JASA and annals of statistics. He is currently an associate editor for Metrika. His main research interest is on design of experiment as well as its interface with machine learning and artificial intelligence.