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職稱：講師 電話： 郵箱：yx.hu24@hbut.edu.cn 學曆：博士研究生 |
碩/博士導師： 團隊信息：智能制造信息化與工業工程 研究方向：再制造、拆解、人機協作 研究生情況： |
一、個人簡曆
2024年畢業于英國阿斯頓大學工程與物理科學院，工學博士。現為77779193永利官网講師，主要從事再制造、人機協作拆卸、智能制造等研究，共計發表論文10餘篇（SCI收錄論文5篇，EI收錄論文5篇）。
二、教育背景
2020.07-2024.09 英國阿斯頓大學 工程與物理科學院 博士
2016.09-2019.06 武漢理工大學 航運學院 碩士
2017.09-2019.02 英國威爾士三一聖大衛大學 77779193永利官网 碩士
2012.09-2016.06 武漢理工大學 航運學院 學士
三、工作經曆
2024.11-至今 77779193永利官网 77779193永利官网 講師
四、研究課題及論文
1. 歐盟地平線項目，推進氫 (H2) 技術和智能生産系統以實現玻璃和鋁行業脫碳，2023-2027，參與
2. ADFI跨學科研究啟動基金，GBSIoT 網絡物理工廠中增強現實輔助智能人機協作，2023，參與
3. 歐盟H2020項目，大型工業設備的再制造和翻新，2019-2023，參與
五、科研成果及專利
已發表SCI論文：
1. Y. Hu, C. Liu, M. Zhang, Y. Lu, Y. Jia, and Y. Xu, “An ontology and rule-based method for human–robot collaborative disassembly planning in smart remanufacturing,” Robot Cim-Int Manuf, vol. 89, p. 102766, 2024. (SCI 收錄，中科院大類一區，Top，IF=10.4)
2. Y. Hu, C. Liu, M. Zhang, Y. Jia, and Y. Xu, “A Novel Simulated Annealing-Based Hyper-Heuristic Algorithm for Stochastic Parallel Disassembly Line Balancing in Smart Remanufacturing,” Sensors-Basel, vol. 23, no. 3, p.1652, 2023. (SCI 收錄，中科院大類三區，IF=3.9)
3. L. Xia, Y. Hu, J. Pang, X. Zhang, and C. Liu, “Leveraging Large Language Models to Empower Bayesian Networks for Reliable Human-Robot Collaborative Disassembly Sequence Planning in Remanufacturing,” Ieee T Ind Inform, 2025. (SCI 收錄，中科院大類一區，Top，IF=11.7)
4. M. M. K. F. Abadi, C. Liu, M. Zhang, Y. Hu, and Y. Xu, “Leveraging AI for energy-efficient manufacturing systems: Review and future prospectives,” J Manuf Syst, vol. 78, pp. 153-177, 2025. (SCI 收錄，中科院大類一區，Top，IF=12.3)
5. M. Zhang, Y. Lu, Y. Hu, N. Amaitik, and Y. Xu, “Dynamic Scheduling Method for Job-Shop Manufacturing Systems by Deep Reinforcement Learning with Proximal Policy Optimization,” Sustainability-Basel, vol. 14, no. 9, p. 5177, 2022. (SCI 收錄，中科院大類三區，IF=3.9)
已發表EI論文：
1. Y. Hu, C. Liu, M. Zhang, Y. Lu, Y. Jia, and Y. Xu, “An Ontology-Based Product Modelling Method for Smart Remanufacturing,” in 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 2023: IEEE, pp. 1-6.
2. Y. Hu, C. Liu, M. Zhang, Y. Laili, Y. Jia, and Y. Xu, “Ontology-Based Product Modeling for Disassembly Sequence Planning in Remanufacturing,” in 2023 28th International Conference on Automation and Computing (ICAC), 2023: IEEE.
3．Y. Hu, C. Liu, M. Zhang, Y. Jia, and Y. Xu, “A Conceptual Framework of Cyber-Physical Remanufacturing System,” in 2022 8th International Conference on Nanomanufacturing and 4th AET Symposium on ACSM and Digital Manufacturing (Nanoman-AETS), 2022: IEEE.
4. Y. Hu, M. Zhang, C. Liu, Y. Xu, Z. Wang, and Y. Jia, “A simulated annealing hyper-heuristic algorithm for process planning and scheduling in remanufacturing,” in 2022 27th International Conference on Automation and Computing (ICAC), 2022: IEEE.
5. Y. Hu, Y. Xu, and Y. Jia, “Review of The Optimization Algorithms for Remanufacturing Disassembly Line,” in 2021 26th International Conference on Automation and Computing (ICAC), 2021: IEEE.
六、獎勵榮譽
歐盟EU Horizon 2020全額獎學金
武漢理工大學雙學位國際合作項目
