師資

郭軒安

Hsuan-An Kuo

助理教授

聯絡方式

資訊系 / 資訊所 / AI學程 / 醫資所 / 製造所

  資訊系館65B14

  06-2757575 ext 62546

  hsuanankuo@gs.ncku.edu.tw

  智慧製造與決策分析研究室

      (資訊系館新大樓6F 65608室)

  個人網站

teacher

專長及研究領域

⚫ 隨機最佳化

⚫ 強化學習

⚫ 對抗生成網路

⚫ 元啟發演算法/ 柔性演算

⚫ 數位雙生

⚫ 智慧製造與數位轉型

學歷

⚫ 台灣\國立清華大學\工業工程與工程管理\學士（2013-2017）

⚫ 台灣\國立清華大學\工業工程與工程管理\博士（2017-2023）


經歷

⚫ 慕尼黑\英飛凌\Supply Chain Innovation\訪問學者（2018、2019）

⚫ 台灣\國立清華大學\智慧製造與循環經濟研究中心\助理研究員（2025）

⚫ 台灣\國立清華大學\半導體研究學院\博士後學者（2025）

⚫ 台灣\國立清華大學\臻鼎清華聯合研究中心\博士後學者（2023-2024）

榮譽及獲獎

⚫ 斐陶斐榮譽會員

⚫ 未來科技獎：先進可解釋性人工智慧預測技術與提升半導體供應鏈與製程網路系統穩健性

⚫ 臻鼎清華聯合研究中心產學貢獻獎

⚫ 台積清華聯合研究中心特別獎

著作

Refered Papers

  1. Kuo, H. A., Hong, T. Y., & Chien, C. F. (2025). A deep reinforcement learning based digital twin framework for resilient production planning under demand uncertainty and an empirical study in semiconductor wafer fabrication. Computers & Industrial Engineering, 111389.(https://doi.org/10.1016/j.cie.2025.111389)
  2. Chen, C.A., Chien, C. F., & Kuo, H. A. (2025). Hybrid quantum annealing genetic algorithm with auxiliary resource dispatching for TFT-LCD array photolithography scheduling and an empirical study. Computers & Industrial Engineering.(https://doi.org/10.1016/j.cie.2025.110989)
  3. Chen, C.A., Kuo, H. A., & Chien, C. F. (2024). Dual-Resource Constrained Flexible Job Shop Scheduling for SMT Back-end Production and An Empirical Study of Wearable Devices. IEEE Transactions on Automation Science and Engineering. (https://ieeexplore.ieee.org/abstract/document/10806845)
  4. Chien, C. F., Kuo, H. A., & Lin, Y. S. (2024). Smart semiconductor manufacturing for pricing, demand planning, capacity portfolio and cost for sustainable supply chain management. International Journal of Logistics Research and Applications, 27(1), 193-216. (https://doi.org/10.1080/13675567.2022.2076818)
  5. Chien, C. F., Kuo, P. C., Sun, P. C., & Kuo, H. A. (2024). Green production planning for circular supply chain and resource management: An empirical study for high-tech textile dyeing. Resources, Conservation and Recycling, 204, 107499. (https://doi.org/10.1080/13675567.2022.2076818)
  6. Kuo, H. A., Chien, C. F., Ehm, H., & Ponsignon, T. (2023). A semantic web-based risk assessment framework for collaborative planning to enhance overall supply chain effectiveness for semiconductor industry. Applied Soft Computing, 149, 110976. (https://doi.org/10.1016/j.asoc.2023.110976)
  7. Kuo, H. A., Peng, C. C., & Chien, C. F. (2023). Subpopulation preference adjective non-dominated sorting genetic algorithm for multi-objective capacity expansion for matured fabs. Applied Soft Computing, 147, 110772. (https://doi.org/10.1016/j.asoc.2023.110772)
  8. Kuo, H. A., & Chien, C. F. (2023). Semiconductor capacity expansion based on forecast evolution and mini-max regret strategy for smart production under demand uncertainty. Computers & Industrial Engineering, 177, 109077. (https://doi.org/10.1016/j.cie.2023.109077)

Conference Papers

國際會議

  1. Tsai, N. S., & Kuo, H. A. (2026) A digital transformation framework for root cause analysis to drive smart manufacturing and an empirical study for backend equipment vendor, 2026 13th International Conference on Industrial Engineering and Applications (ICIEA 2026).
  2. Tsai, P. Y., Chen, Y. M., Kuo, H. A., & Chien, C. F. (2025) New Product Cycle Time Prediction Considering Production Dynamics and an Empirical Study in Semiconductor Wafer Fabrication, In Proceedings of 25rd Asia Pacific Industrial Engineering & Management System Conference AND The 28th Asia Pacific Division Meeting of The International Foundation for Production Research (APIEMS2025).
  3. Chen, Z. X., Kuo, H. A., & Chien, C. F. (2025) Data-Driven Framework for Predictive Maintenance Decision Making in IC Substrates Manufacturing, In Proceedings of the International Conference on Industrial Engineering and Operations Management
  4. Chen, Y., M., Fan, T., L., Kuo, H. A., & Chien, C. F. (2024). Advanced cycle time prediction for semiconductor manufacturing industry and an empirical study, In Proceedings of 24rd Asia Pacific Industrial Engineering & Management System Conference AND The 27th Asia Pacific Division Meeting of The International Foundation for Production Research (APIEMS2024).
  5. Kuo, H. A., Sun, P. C., Lin, Y. S., & Chien, C. F. (2023). A deep reinforcement learning based digital twin framework for resilient production planning and an empirical study in semiconductor wafer fabrication. In Proceedings of International Conference on Computers and Industrial Engineering, Computers & Industrial Engineering (CIE).
  6. Kuo, H. A., Lin, Y. S., Sun, P. C., & Chien, C. F. (2023). A hybrid collaborative demand fulfillment framework for printed circuit board production planning to empower symbolic supply chain in post epidemic era, In Proceedings of International Conference on Computers and Industrial Engineering, Computers & Industrial Engineering (CIE).
  7. Yang, H. Y., Kuo, H. A., Tseng, P. H, & Chien, C. F (2023). Multi-Objective Production Planning Using Particle Swarm Algorithm Considering Uncertain Production Time and Case Study, In Proceedings of International Conference on Chinese Institute of Industrial Engineers (CIIE).
  8. Tseng, P. H, Kuo, H. A., Yang, H. Y., & Chien, C. F (2023). Modified allocated clearing functions based on machine learning for semiconductor frontend production planning model and an empirical study, In Proceedings of 23rd Asia Pacific Industrial Engineering & Management System Conference AND The 26th Asia Pacific Division Meeting of The International Foundation for Production Research (APIEMS2023)
  9. Chang, Y. L, Kuo, H. A., & Chien, C. F (2023). Machine learning based cycle time prediction in printed circuit board laser process, In Proceedings of International Conference on Chinese Institute of Industrial Engineers (CIIE).
  10. Chen, C. Y., Kuo, H. A., Ma, K. T. & Chien, C. F., (2020) A Human-experience based intelligent scheduling framework to empower Industry 3.5: Implementation of Simulated Annealing Genetic Algorithm in Multi Auxiliary Resource Planning for Job Shop Scheduling in multinational technology manufacturing. Operations Research Society of Taiwan 2020 conference
  11. Kuo, H. A., Ponsignon, T., Ehm, H., & Chien, C. F. (2019, April). Overall Supply Chain Effectiveness (OSCE) for Demand and Capacity Incorporation in Semiconductor Supply Chain Industry. In 2019 IEEE International Conference on Smart Manufacturing, Industrial & Logistics Engineering (SMILE) (pp. 24-28). IEEE.
  12. Hsu, C., Kuo, H. A., Chien, J. C., Fu, W., Ma, K. T., & Chien, C. F. (2019, March). A machine learning based intelligent agent for human resource planning in IC design service industry. In Proceedings of the International Conference on Industrial Engineering and Operations Management (pp. 3758-3768). MAR.

研究計劃

科技部計劃

⚫ 建構可信賴之人工智慧架構於成熟晶圓廠之生產週期預測與投片最佳化研究 (114-2222-E-006-010-) (PI)

⚫ 跨域多模態AI技術與平台於下世代智慧製造之應用：邁向後摩爾世代IC載版智慧製造人工智慧研究專案 (Co-PI)

產學合作計劃

⚫ 光罩風險預估與AI智能排檢系統 

⚫ 活蔬菜之生長週期異常預測與盤重影響之專家系統

⚫ 建構以知識圖譜為基礎之生成式 AI 批次控制系統提升 Overlay APC Pilot Run 準確性並降低 NG Ratio