师资队伍

教师名录

潘越

土木工程系

电子邮件:panyue001@sjtu.edu.cn
通讯地址:上海市闵行区东川路800号学院木兰船建大楼A401室

【工作经历】

2021.10 -至今:学院,土木工程系,助理教授,博士生导师


【教育背景】

2018.07 – 2021.09:新加坡南洋理工大学,土木工程,博士 (毕业论文:Mining building information modeling (BIM) event logs for improved project management)

2016.08 – 2017.12:美国卡内基梅隆大学,土木工程,硕士(Advanced Infrastructure Systems项目)

2012.09 – 2016.06:同济大学,工程力学,学士


1. 地下工程智能建造与运维/Smart construction engineering and management in underground engineering 

2. 工程信息化/Engineering informatics

3. 数据挖掘与数字孪生/Data mining and digital twin


欢迎对基于人工智能的基础设施系统数字化建造与管理感兴趣的同学积极联系咨询,一起探索新一代信息技术在土木工程全生命周期管理中的理论发展和实践应用。


多份SCI杂志审稿人,部分如下:

Nature Communications

Automation in Construction

Information Sciences

Expert Systems with Applications

Engineering Applications of Artificial Intelligence

Reliability Engineering and System Safety

 

中国图学学会建筑信息模型(BIM)专业委员会委员

国家自然基金青年科学基金项目,72201171,基于数物融合深度学习的深大基坑施工灾变风险在线预测与防控研究,2023.01.01-2025.12.31,在研,主持

2022年上海市启明星项目(扬帆专项),22YF1419100,基于多源时序大数据融合的盾构智能掘进动态管控研究,2022.04-2025.03,在研,主持

智能建筑与建筑节能安徽省重点实验室,IBES2021KF06,BIM及人工智能驱动下绿色建筑能耗预测与优化研究,2022.05-2024.04,在研,主持

上海市公共建筑和基础设施数字化运维重点实验室科研项目,AF0100120/006,基于深度学习计算机视觉的施工人员个人防护装备自主识别,2021.12-2022,12,结题,主持

学院“双一流”建设项目人才科研启动基金,WH220501005,2021.10-2024.9,在研

上海申通地铁集团科研项目,城市地铁隧道表观病害快速检测系统与实现,在研,主要参与



截止2023年3月,在基于人工智能的土木工程建造与运维管理研究领域已积累较多的前期研究成果已发表SCI论文31篇,其中以第一作者发表SCI论文24篇,以通讯作者发表SCI论文2篇,ESI高被引论文4篇,影响因子超10.0的论文达20篇,总引用次数超过1900余次,h-10 index达24,研究成果获国内外同行认可。


【近五年代表作SCI期刊论文】

[1] Y. Pan, J. Qin, A novel probabilistic modeling framework for wind speed with highlight of extremes under data discrepancy and uncertainty, Applied Energy 326 (2022) 119938

[2] Y. Pan, L. Zhang, Dual attention deep learning network for automatic steel surface defect segmentation, ComputerAided Civil and Infrastructure Engineering 37 (11) (2022) 1468-1487

[3] Y. Pan, X. Fu, and L. Zhang, "Data-driven multi-output prediction for TBM performance during tunnel excavation: An attention-based graph convolutional network approach," Automation in Construction, vol. 141, p. 104386, 2022. 

[4] Y. Pan and L. Zhang, "Mitigating tunnel-induced damages using deep neural networks," Automation in Construction, vol. 138, p. 104219, 2022. 

[5] Y. Pan and L. Zhang, "A BIM-data mining integrated digital twin framework for advanced project management," Automation in Construction, vol. 124, p. 103564, 2021.

[6] Y. Pan and L. Zhang, "Roles of artificial intelligence in construction engineering and management: A critical review and future trends," Automation in Construction, vol. 122, p. 103517.

[7] Y. Pan, L. Zhang, and Z. Li, "Mining event logs for knowledge discovery based on adaptive efficient fuzzy Kohonen clustering network," Knowledge-Based Systems, p. 106482, 2020. 

[8] Y. Pan, L. Zhang, and M. J. Skibniewski, "Clustering of designers based on building information modeling event logs," Computer‐Aided Civil and Infrastructure Engineering, vol. 35, no. 7, pp. 701-718, 2020.

[9] Y. Pan, L. Zhang, X. Wu, and M. J. Skibniewski, "Multi-classifier information fusion in risk analysis," Information Fusion, 2020. 

[10] Y. Pan, L. Zhang, Z. Li, and L. Ding, "Improved fuzzy Bayesian network-based risk analysis with interval-valued fuzzy sets and DS evidence theory," IEEE Transactions on Fuzzy Systems, 2019. 

 

【国际会议论文】

Y. Pan and L. Zhang, "Exploring Collaborative Networks in BIM Design Based on Event Logs.", Construction Research Congress 2020: Computer Applications, American Society of Civil Engineers Reston, VA, 2020, pp. 306-315.

 

【专著】

L. Zhang, Y. Pan, X. Wu, and M. J. Skibniewski, "Artificial Intelligence in Construction Engineering and Management," ed: Springer, 2021.

本科生课程《工程学导论》

非全日制工程管理硕士研究生课程《人工智能及其应用》

2022年入选上海市海外高层次人才计划

2022年“城市之星”上海市城市治理青年人才创新大赛数字孪生赛道三等奖

2021年度国家优秀留学生奖学金B类

2018年-2021年 新加坡南洋理工大学全额奖学金

2016年-2017年 美国卡内基梅隆大学土木与环境工程学院奖学金

2016年 同济大学优秀毕业生

2015年 同济大学优秀学生


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