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个人信息Personal Information
副教授
博士生导师
硕士生导师
任职 : 船舶与海洋工程设计研究所所长
性别：男
毕业院校：大连理工大学
学位：博士
所在单位：船舶工程学院
学科：船舶与海洋结构物设计制造
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个人简介Personal Profile
于雁云，男，博士/副教授，博士生导师，硕士生导师，大连理工大学船舶与海洋工程设计研究所所长，船舶设计教研室负责人，学院学位委员会委员。主要研究方向包括船舶与海洋结构物参数化智能设计、基于AI技术的无人船与智能船设计与控制、基于云计算技术的船舶设计软件研发、船体结构等几何（IGA）方法研究及应用等。主持国家自然基金项目、工信部高技术船舶专项等国家级课题3项，主持省部级课题2项，负责、参与纵向/横向课题60余项。发表学术论文80余篇，其中SCI、EI等索引50余篇，SCI他引400余次。著有4部学术专著，2部教材。获批美国、日本等国外专利5项，中国发明专利30余项，软件著作权12项。担任国家自然科学基金评议人，Applied Ocean Research, Ocean Engineering，Ships and Offshore Structures, Journal of Marine Science and Engineering, Journal of Marine Science and Application, Complex & Intelligent Systems, Journal of Ship Production and Design, Maritime Policy & Management, 上海交通大学学报等SCI、EI期刊审稿人。
代表论著Representative Works
- [论文]于雁云.林焰.Isogeometric analysis with the Reissner-Mindlin shell for hull structural mechanical analysis[J],Ocean Engineering,2021,231(2021):1-9
- [论文]于雁云.Mu, Zongbao,Liu, Jia,张洪硕,李雅婷,孙钰童.张洪硕,李雅婷,孙钰童.Trim and Engine Power Joint Optimization of a Ship Based on Minimum Energy Consumption over a Whole Voyage[J],JOURNAL OF MARINE SCIENCE AND ENGINEERING,2024,12(3)
- [论文].Yu, Yanyun.于雁云,Li, Qiang,Liu, Xiang,林焰.A hybrid AWQMIX-MGT algorithm integrating deep reinforcement learning and collaborative optimization strategies for ship equipment and pipe layout design[J],OCEAN ENGINEERING,2026,348
- [论文]于雁云.Yu, Yanyun.Ship trajectory prediction method based on heterogeneous spatiotemporal graph neural networks[J],APPLIED OCEAN RESEARCH,2026,168
- [论文].Yu, Yanyun.于雁云.Application of the SFITSF deep learning model based on time-frequency information fusion in single-step ship trajectory prediction[J],JOURNAL OF MARINE SCIENCE AND TECHNOLOGY,2025
- [论文]于雁云.Wang, Yao,Lin, Yan.IsoGeometric Analysis with non-conforming multi-patches for the hull structural mechanical analysis[J],THIN-WALLED STRUCTURES,2023,187
- [论文].Yu, Yanyun.于雁云,林焰.Ship engine room pipe layout optimization based on a knowledge-driven sparse A* algorithm[J],OCEAN ENGINEERING,2026,358
- [论文].Yu, Yanyun.于雁云,Zou, MengYao.Intelligent quadrilateral mesh generation for ship structures based on hybrid deep reinforcement learning[J],OCEAN ENGINEERING,2026,358
- [著作]于雁云,林焰,船舶与海洋平台专业设计软件开发,科学出版社,2019