个人简介
最高學歷
♦ 美國普渡大學工業工程博士
Kuo-Hao Chang is a Professor of Industrial Engineering and Engineering of National Tsing Hua University. He received his PhD in Industrial Engineering from Purdue University in 2008. Professor Chang's research interests include data analytics, applied probability and statistics, and simulation optimization. He was the winner of the 2012 Bonder Scholar Research Award from INFORMS, 2015 IIE Transactions Best Application Paper Award, 2015 K.D. Tocher Medal from The OR Society, 2015 Ta-You Wu Memorial Award from the Ministry of Science and Technology (科技部吳大猷先生紀念獎) and 2016 Junior Investigators Research Award from the Academia Sinica (中研院年輕學者研究著作獎) and 2017 IEEE Transactions on Semiconductor Manufacturing Best Paper Award. He is currently the Associate Editor of several prestigious international journals, including the IEEE Transactions on Automation Science and Engineering, the Asia-Pacific Journal of Operational Research, and the International Journal of Simulation and Process Modeling. Professor Chang and his team has successfully carried out many projects in collaboration with companies, including TSMC, LiteOn, UMC, VisEra, YOMURA, ITRI, III etc. Professor Chang is an active member of INFORMS, IIE and a senior member of IEEE.
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•2017 IEEE Transactions on Semiconductor Manufacturing Best Paper Award
•2016 科技部產學合作優良獎
•2016 中研院年輕學者著作獎
•2015 科技部優秀年輕學者計畫
•2015 The K.D. Tocher Medal by The OR Society
•2015 科技部吳大猷先生紀念獎
•2015 IIE Transactions Best Application Paper Award
•2015 國立清華大學工學院傑出導師獎
•2013 國立清華大學新進人員研究獎
•2013 中國工業工程師學會優秀年輕工業工程師獎
•2012 INFORMS Bonder Scholar Research Award
近三年執行計畫
張國浩
Kuo-Hao Chang
考量不同能源配比下我國電力系統可靠度分析
Reliability analysis of national power system in consideration of different energy allocation
工業技術研究院
Industrial Technology Research Institute
2017.1 - 2017.11
張國浩
Kuo-Hao Chang
分量模擬最佳化-理論與應用
Quantile-based Simulation Optimization: Theory and Applications
科技部
Ministry of Science and Technology
2017.8-2018.7
張國浩
Kuo-Hao Chang
機率模擬最佳化-理論與應用
Probability-based Simulation Optimization: Theory and Applications
科技部
Ministry of Science and Technology
2017.8-2018.7
張國浩
Kuo-Hao Chang
混合式再生能源系統最佳建置及績效分析: 一個新的風險管理架構
Modeling and Analysis of Hybrid Renewable Energy Systems: a New
Risk Management Framework
科技部
Ministry of Science and Technology
2015.08-2016.07
張國浩
Kuo-Hao Chang
塑膠良率改善
Plastic Injection Quality Improvement
光寶科技股份有限公司
Lite-On Technology Corporation
2015.08-2016.03
近期论文
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Publications
Accepted/Published
1.Chen-Fu Chien, Chia-Yu Hsu, Kuo-Hao Chang, “Overall Wafer Effectiveness (OWE) A novel industry standard for semiconductor ecosystem as a whole,” Computers & Industrial Engineering, 65(1), 117–127 (2013)
2.Kuo-Hao Chang, L. Jeff Hong, Hong Wan, “Stochastic Trust-Region Response-Surface Method (STRONG)—A New Response-Surface Framework for Simulation Optimization,” INFORMS Journal on Computing, 25(2), 230–243 (2013).
3.Liam Yuehfeng Hsieh, Kuo-Hao Chang*, “Yield Improvement on In-Mold Decoration Manufacturing through Parameter Optimization,” International Journal of Precision Engineering and Manufacturing, 14(10), 1823-1328 (2013).
4.Ying-Jen Chen, Tzu-Hsiang Lin, Kuo-Hao Chang* and Chen-Fu Chien, “Feature extraction for defect classification and yield enhancement in color filter and micro-lens manufacturing: An empirical study,” Journal of Industrial and Production Engineering, 30(8), 510–517 (2013).
5.Kuo-Hao Chang*, “Stochastic Nelder-Mead Simplex Method-A New Globally Convergent Direct Search Method for Simulation Optimization,” European Journal of Operational Research, 220 (3), 684-694 (2012).
6.Chao-Jung Huang, Kuo-Hao Chang*, and James T. Lin, “Optimal Vehicle Allocation for Automated Material Handling System Using Simulation Optimization,” International Journal of Production Research, 50, 5734-5746 (2012).
7.Chao-Jung Huang, Kuo-Hao Chang*, and James T. Lin (2011), “Optimal Vehicle Allocation for Automated Material Handling System Using Simulation Optimization,” International Journal of Production Research (SCI), accepted.
8.Kuo-Hao Chang*, Jeff L. Hong, and Hong Wan (2011), “Stochastic Trust Region Gradient-Free Method (STRONG)-A New Response Surface-Based Algorithm in Simulation Optimization,” INFORMS Journal on Computing (SCI), accepted (with minor revision).
9.Chen-Fu Chien*, Chia-Yu Hsu, Kuo-Hao Chang (2011), “Overall Wafer Effectiveness (OWE): A Novel Industry Standard for Semiconductor Ecosystem as a Whole,” Computers and Industrial Engineering (SCI), accepted (with minor revision).
10.Kuo-Hao Chang*, Ming-Kai Li and Hong Wan (2011), “Combining STRONG and Screening Designs for Large-Scale Simulation Optimization,” Proceedings of the 2011 Winter Simulation Conference (invited paper) (EI), forthcoming.
11.James T. Lin, Kuo-Hao Chang*, and Chao-Jung Huang (2010), “Dynamic Vehicle Allocation in Automated Material Handling System,” Proceedings of the 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, 1523-1527 (EI).
12.Kuo-Hao Chang, and Hong Wan* (2009), “Stochastic Trust Region Response Surface Convergent Method –An Extension for Generally-Distributed Response Surface,” Proceedings of the 2009 Winter Simulation Conference 2009, 563-573 (EI).
13.Kuo-Hao Chang, Jeff L. Hong, and Hong Wan* (2007), “Stochastic Trust Region Gradient
Kuo-Hao Chang, Jeff L. Hong, and Hong Wan* (2007), “Stochastic Trust Region Gradient-Free Method (STRONG)-A New Response Surface-Based Algorithm in Simulation Optimization” Proceedings of 2007 Winter Simulation Conference 2007, 346-354, 2007. (EI) (I-Sim/ACM-SIGSIM Best Student Paper Award)
14.Chen-Fu Chien*, Kuo-Hao Chang, Chih-Ping Chen, “Design of Sampling Strategies for Measuring and Compensating Overlay Errors in Semiconductor Manufacturing,” International Journal Production Research, 41(11), 2547-2561, 2003. (SCI)
15.Chen-Fu Chie*n, Kuo-Hao Chang, Chih-Ping Chen, “Research on Modeling Overlay Errors and Sampling Strategies to Improve Yield,” Journal of Chinese Institute of Industrial Engineers, 17(2), 133-146, 2001. (EI) (Engineering Paper Award)
16.Chen-Fu Chien*, Kuo-Hao Chang, Chih-Ping Chen, “Sampling Strategy and Model to Measure and Compensate the Overlay Errors,” Proceedings of SPIE, 4344, 245-
Submitted/Under revision
1.Kuo-Hao Chang*, Ming-Kai Li, and Hong Wan, “Combining STRONG with Screening Designs for Large-Scale Simulation Optimization,” IIE Transactions, revised (2012).
2.Kuo-Hao Chang*, and Hong Wan, “STRONG-X: A Convergent Framework for Simulation Optimization with Generally-Distributed Response Surfaces,” European Journal of Operational Research, submitted (2012).
3.Kuo-Hao Chang*, Yu-Hsuan Huang and Shi-Bang Yang, “Vehicle Fleet Sizing to Minimize Cost subject to Time Constraints,” IIE Transactions, submitted (2012).
4.Chien-Fu Chien*, Kuo-Hao Chang, and Wen-Chih Wang, “Retrospective Design-of-Experiment Data Mining for Yield-Loss Diagnosis in Semiconductor Manufacturing: An Empirical Study,” European Journal of Operational Research, submitted (2012).
5.Kuo-Hao Chang*, “Stochastic Nelder-Mead Simplex Method- A New Globally Convergent Direct Search Method for Simulation Optimization,” submitted to European Journal of Operational Research.
6.Kuo-Hao Chang*, and Hong Wan, “Stochastic Trust Region Response Surface Convergent Method for Generally-Distributed Response Surface,” submitted to Operations Research Letter.
Refereed Conference Proceedings
1.Kuo-Hao Chang*, Ming-Kai Li and Hong Wan, “Combining STRONG and Screening Designs for Large-Scale Simulation Optimization,” Proceedings of the 2011 Winter Simulation Conference, 4127-4136.
2.James T. Lin, Kuo-Hao Chang*, and Chao-Jung Huang, “Dynamic Vehicle Allocation in Automated Material Handling System,” Proceedings of the 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, 1523-1527.
3.Kuo-Hao Chang, and Hong Wan*, “Stochastic Trust Region Response Surface Convergent Method –An Extension for Generally-Distributed Response Surface,” Proceedings of the 2009 Winter Simulation Conference 2009, 563-573 .
4.Kuo-Hao Chang, Jeff L. Hong, and Hong Wan*, “Stochastic Trust Region Gradient-Free Method (STRONG)-A New Response Surface-Based Algorithm in Simulation Optimization,” Proceedings of 2007 Winter Simulation Conference 2007, 346-354, 2007. (I-Sim/ACM-SIGSIM Best Student Paper Award)
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