智能制造工程系

胡佑希

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时间:2025-03-19 浏览:来源:智能制造工程系

职称:讲师

电话:

邮箱:yx.hu24@hbut.edu.cn

学历:博士研究生

/博士导师:

团队信息:智能制造信息化与工业工程

研究方向:再制造、拆解、人机协作

研究生情况:

一、个人简历

2024年毕业于英国阿斯顿大学工程与物理科学院,工学博士。现为biwn必赢网址讲师,主要从事再制造、人机协作拆卸、智能制造等研究,共计发表论文10余篇(SCI收录论文5篇,EI收录论文5篇)。

二、教育背景

2020.07-2024.09 英国阿斯顿大学 工程与物理科学院 博士

2016.09-2019.06 武汉理工大学 航运学院 硕士

2017.09-2019.02 英国威尔士三一圣大卫大学 biwn必赢网址 硕士

2012.09-2016.06 武汉理工大学 航运学院 学士

三、工作经历

2024.11-至今 Bwin体育 biwn必赢网址 讲师

四、研究课题及论文

1. 欧盟地平线项目,推进氢 (H2) 技术和智能生产系统以实现玻璃和铝行业脱碳,2023-2027,参与

2. ADFI跨学科研究启动基金,GBSIoT 网络物理工厂中增强现实辅助智能人机协作,2023,参与

3. 欧盟H2020项目,大型工业设备的再制造和翻新,2019-2023,参与

五、科研成果及专利

已发表SCI论文:

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 收录,中科院大类一区,TopIF=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 收录,中科院大类三区,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 收录,中科院大类一区,TopIF=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 收录,中科院大类一区,TopIF=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 收录,中科院大类三区,IF=3.9)

已发表EI论文:

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.

3Y. 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、奖励荣誉

欧盟EU Horizon 2020全额奖学金

武汉理工大学双学位国际合作项目