主持人
Kuo-Hao Chang (張國浩)
Professor
Kuo-Hao Chang is Professor of Industrial Engineering and Engineering Management at National Tsing Hua University and the deputy director of National Science and Technology Center for Disaster Reduction.
He has won several prestigious international awards, including 2012 Bonder Scholar Research Award from INFORMS, 2015 IIE Transactions Best Application Paper Award, 2015 K.D. Tocher Medal from The OR Society, and 2017 IEEE Transactions on Semiconductor Manufacturing Best Paper Award. In Taiwan, he also won many awards, including 2013 中國工業工程優秀青年工程師獎章, 2015 科技部吳大猷先生紀念獎, 2016 中央研究院年輕學者研究著作獎, 2019 科技部傑出研究獎。He has led a team to successfully finish many consultant projects with industrial companies including TSMC, UMC, VisEra, YOMURA, ITRI etc. He is now serving as Associate Editor of IEEE Transactions on Automation Science and Engineering and Asia-Pacific Journal of Operational Research. He is a member of INFORMS, IIE and a senior member of IEEE. His research interests include big data analytics, simulation optimization, and stochastic models.- Deputy director, National Science and Technology Center for Disaster Reduction (August 2020-present)
- Director, Dual Master Degree Program for Global Operation Management with Stony Brook University, National Tsing Hua University (August 2018-December 2019)
- Director, Division of General Affairs, Office of Global Affairs, National Tsing Hua University (February 2016-July 2018)
- Professor (2018-now), Associate Professor (2014-2018), Assistant Professor (2009-2014), Department of Industrial Engineering and Engineering Management, National Tsing Hua University
- Assistant Professor (January 2009-May 2009), Department of Industrial and Management Systems Engineering, West Virginia University
- Ph.D. (2008)
- Industrial Engineering, Purdue University, U.S.A
- M.S. (2001)
- Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan
- B.B.A. (1998)
- Statistics, National Cheng Kung University, Taiwan
- Big Data Analytics
- Simulation Optimization
- Monte Carlo Simulation
- Applied Probability and Statistics