Diapeng Wang Job Title: Assistant Professor E-mail: wdp@bit.edu.cn
He once visited Georgia Tech and Hong Kong University of Science and Technology, and served as the executive director of Beijing Big Data Association, the Executive director of Young Statisticians Association of National Industrial Statistics Teaching Research Association, the director of Experimental Design Branch of China Field Statistics Research Association, and the director of National Industrial Statistics Teaching Research Association. He is mainly engaged in the research of computer experiment design, Bayesian calculation, uncertainty quantization, industrial big data, etc. Presided over the National Natural Science Foundation Youth Fund, the surface project and the State Administration of Science, Technology and Industry for National Defense Advanced star and arrow common technology and other projects, He has published many papers in authoritative journals of statistics such as Technometrics, Journal of Quality Technology, Statistica Sinica, etc.
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Sensitivity test Design, Industrial Big Data, Computer Test design

2003-09 to 2007-06, School of Science, Beijing Institute of Technology, Bachelor Degree
2008-09 to 2010-06, Master, School of Mathematics, Beijing Institute of Technology, Supervisor: Professor Yubin Tian
2012-09 to 2016-06, Ph. D., School of Mathematics and Statistics, Beijing Institute of Technology, Supervisor: Professor Yubin Tian

2013-08-2015-12, Georgia Tech University, Visiting Scholar
2016-07 to 2018-05, Postdoctoral Fellow, Institute of Systems, Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences
2019-06-2020-02, Visiting Scholar, Industrial Engineering and Decision Analysis, Hong Kong University of Science and Technology
2018-05-present, Pre-Appointed Assistant Professor, School of Mathematics and Statistics, Beijing Institute of Technology

(1) Dai, Wenlin; Song, Yan; Wang, Dianpeng*; A subsampling method for regression problems based on minimum energy criterion, Technometrics, accepted.
(2) Liu, Yuxia; Tian, Yubin; Wang, Dianpeng*; Bayesian Sequential Design of Sensitivity Experiments with Hybrid Responses, Journal of Quality Technology, 2022, Online Published. DOI: 10.1080/00224065.2022.2097966
(3) Li, Jialu#; Tian, Yubin#; Wang, Dianpeng*; Change-point detection of failure mechanism for electronic devices based on Arrhenius model, Applied Mathematical Modelling, 2020, 83:46-58.
(4) Wang, Dianpeng; Tian, Yubin; Wu, C. F. Jeff; Comprehensive comparisons of major sequential design procedures for sensitivity testing, Journal of Quality Technology, 2020, 52(2), 155-167.
(5) Joseph, V. Roshan; Wang, Dianpeng; Gu, Li; Lyu, Shiji; Tuo, Rui; Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs, Technometrics, 2019, 61(3):297-308.
(6) Ba, Shan; Myers, William R.; Wang, Dianpeng*; A Sequential Maximum Projection Design Framework for Computer Experiments with Inert Factors, Statistica Sinica, 2018, 28:879-897
(7) Wang, Dianpeng#; Tian, Yubin#; Wu, C. F. Jeff; A Skewed Version of The Robbins-Monro-Joseph Procedure for Binary Response, Statistica Sinica, 2015, 25(4):1679-1689.