Academic/Professional Qualifications 

Ph.D., Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan, China. 2014-2020

B.S., Mathematics (Minor in Financial Engineering), Sichuan University, China. 2010-2014

Career History:

2021- present, Teacher in the Business School, University of Shanghai for Science and Technology

2020 - 2021, Postdoctoral Researcher, Artificial Intelligence for Intelligent Manufacturing System, ZDT-NTHU Joint Research Center

Scientific Research projects

1. 2021.07-2023.06, PI, Research on Data-Driven Semiconductor Manufacturing Quality Control, Doctoral Start-up Foundation Project of University of Shanghai for Science and Technology.

2. 2021.01–2021.09, Co-PI, Engineering Data Analysis for Optimizing Process Parameters and Improving critical dimension Cpk, ZDT-NTHU Joint Research Center Project. 

3. 2020.10–2021.01, Co-PI, VMI-HUB Website Pull and Inventory Automatic Retrieval System, ZDT-NTHU Joint Research Center Project. 

Teaching Research projects

1. 2022.05-2024.04, PI, Colleges and Universities Young Teachers Training and Funding Program, Shanghai Municipal Education Commission.

Recent Papers:

1.Fu, W., Chien, C.F., Chen, C.H. Advanced Quality Control for Probe Precision Forming to Empower Virtual Vertical Integration for Semiconductor Manufacturing. Computers & Industrial Engineering, 2023, 183, 109461. (SCI)

2.Fu, W., Jing, S., Liu, Q., Zhang, H. Resilient Supply Chain Framework for Semiconductor Distribution and an Empirical Study of Demand Risk Inference. Sustainability, 2023, 15(9), 7382. (SCI/SSCI)

3.Fu, W., Chien, C.F., Tang, L. Bayesian Network for Integrated Circuit Testing Probe Card Fault Diagnosis and Troubleshooting to Empower Industry 3.5 Smart Production and an Empirical Study. Journal of Intelligent Manufacturing, 2022, 33,785-798. (SCI)

4.Fu, W., Chien, C.F. UNISON Data-Driven Intermittent Demand Forecast Framework to Empower Supply Chain Resilience and an Empirical Study in Electronics Distribution. Computers & Industrial Engineering, 2019, 135, 940-949. (SCI/SSCI)

5.Chien, C.F., Dou, R., Fu, W. Strategic Capacity Planning for Smart Production: Decision Modeling under Demand Uncertainty. Applied Soft Computing, 2020, 68, 900-909. (SCI)

6.Chien, C.-F. *, Wang, H.-K., Fu, W. Industry 3.5 Framework of an Advanced Intelligent Manufacturing System: Case Studies from Semiconductor Intelligent Manufacturing. Management Review, 2018, 37(3), 105-121.

Conference Papers: 

1.Fu, W., Chien, C.-F. Data Analytics for Customer Behavior Extraction for Semiconductor Demand Planning to Empower Industry 3.5. Annual International Conference for Chinese Scholars in Industrial Engineering, Dalian, China, 2023. (Best Paper Award)

2.Lin, S.-K., Fu, W., Lin, Y.-S., Chien, C.-F. Generative Adversarial Network with Autoencoder for Semiconductor Demand Forecast to Empower Industry 3.5. International Conference on Computers and Industrial Engineering, 2019. (EI)

3.Fu, W., Chien, C.-F., Lin, Z.-H. A Hybrid Forecasting Framework with Neural Network and Time-series Method for Intermittent Demand in Semiconductor Supply Chain. IFIP International Conference on Advances in Production Management Systems, 2018. (EI)

4.Fu, W., Chien, C.-F. Uncertain Decision Model for Strategic Capacity Planning under Uncertain Environment in Semiconductor Industry. International Conference on Computers and Industrial Engineering, 2016. (EI)

1. Membership: International Institute of Forecasters, Chinese Mechanical Engineering Society

2. Peer Reviewer: Journal of Intelligent Manufacturing, Computers & Industrial Engineering, Expert Systems with Applications, IEEE Transactions on Semiconductor Manufacturing, Computers in Biology and Medicine, IEEE Access

1. 2020, Excellent Doctor Thesis Award, TSC Thesis Competition

2. 2020, Honorable Mention Award, PhD Thesis Competition, Operations Research Society of Taiwan

3. 2020, Honorary Membership, The Phi Tau Phi Scholastic Honor Society

4. 2019, Best Paper Award, Annual International Conference for Chinese Scholars in Industrial Engineering

5. 2019, Best Presentation for Advanced Process/Equipment Control, International Symposium on Industry3.5 and Intelligent Manufacturing