Prof. Fu-Kwun Wang
Department of Industrial Management
National Taiwan University of Science and Technology, Chinese Taiwan
Distinguished Professor
Email: fukwun@mail.ntust.edu.tw
Qualifications
1996 Ph.D. Arizona State University, USA
1990 M.S. Arizona State University, USA
1986 B.S. National Cheng Chi University, Chinese Taiwan
Publications (Selected)
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Wang, F. K., Kebede, G. A., Lo, S. C., & Woldegiorgis, B. H. (2024). An embedding layer-based quantum long short-term memory model with transfer learning for proton exchange membrane fuel stack remaining useful life prediction. Energy, 308, 133054.
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Gomez, W., Wang, F. K., & Chou, J. H. (2024). Li-ion battery capacity prediction using improved temporal fusion transformer model. Energy, 296, 131114.
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Rahardjo, B., Wang, F. K., Lo, S. C., & Chu, T. H. (2024). A sustainable innovation framework based on lean six sigma and industry 5.0. Arabian Journal for Science and Engineering, 49(5), 7625-7642.
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Chou, J. H., Wang, F. K., & Lo, S. C. (2023). Predicting future capacity of lithium-ion batteries using transfer learning method. Journal of Energy Storage, 71, 108120.
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Chou, J. H., Wang, F. K., & Lo, S. C. (2023). A novel fine-tuning model based on transfer learning for future capacity prediction of lithium-ion batteries. Batteries, 9(6), 325.
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Amogne, Z. E., Wang, F. K., & Chou, J. H. (2023). Transfer learning based on transferability measures for state of health prediction of lithium-ion batteries. Batteries, 9(5), 280.
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Rahardjo, B., Wang, F. K., Lo, S. C., & Chou, J. H. (2023). A hybrid multi-criteria decision-making model combining DANP with VIKOR for sustainable supplier selection in electronics industry. Sustainability, 15(5), 4588.
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Gomez, W., Wang, F. K., & Amogne, Z. E. (2023). Electricity Load and Price Forecasting Using a Hybrid Method Based Bidirectional Long Short‐Term Memory with Attention Mechanism Model. international journal of energy research, 2023(1), 3815063.
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Wang, F. K., Rahardjo, B., & Rovira, P. R. (2022). Lean six sigma with value stream mapping in industry 4.0 for human-centered workstation design. Sustainability, 14(17), 11020.
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Wang, F. K., Amogne, Z. E., Chou, J. H., & Tseng, C. (2022). Online remaining useful life prediction of lithium-ion batteries using bidirectional long short-term memory with attention mechanism. Energy, 254, 124344.
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Wang, F. K., Amogne, Z. E., Tseng, C., & Chou, J. H. (2022). A hybrid method for online cycle life prediction of lithium‐ion batteries. International Journal of Energy Research, 46(7), 9080-9096.
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Wang, F. K., Chou, J. H., & Amogne, Z. E. (2022). A deep convolutional neural network with residual blocks for wafer map defect pattern recognition. Quality and Reliability Engineering International, 38(1), 343-357.
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Wang, F. K., Amogne, Z. E., & Chou, J. H. (2021). A hybrid method for remaining useful life prediction of proton exchange membrane fuel cell stack. IEEE Access, 9, 40486-40495.
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Wang, F. K., Mamo, T., & Cheng, X. B. (2020). Bi-directional long short-term memory recurrent neural network with attention for stack voltage degradation from proton exchange membrane fuel cells. Journal of Power Sources, 461, 228170.
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Wang, F. K., & Mamo, T. (2020). Gradient boosted regression model for the degradation analysis of prismatic cells. Computers & Industrial Engineering, 144, 106494.
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Mamo, T., & Wang, F. K. (2020). Long short-term memory with attention mechanism for state of charge estimation of lithium-ion batteries. Ieee Access, 8, 94140-94151.
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Wang, F. K., Cheng, X. B., & Hsiao, K. C. (2020). Stacked long short-term memory model for proton exchange membrane fuel cell systems degradation. Journal of power Sources, 448, 227591.
Profile Details
WoS ResearcherID: AAF-8304-2019
https://orcid.org/0000-0003-4563-945X
https://www.im.ntust.edu.tw/p/412-1014-10793.php?Lang=en
https://scholar.google.com.hk/citations?user=YZABn2sAAAAJ&hl=zh-CN&oi=sra
https://www.researchgate.net/profile/Fu-Kwun-Wang