教育经历

• 2016.08 - 2020.05    University of California Berkeley，Civil and Environmental Engineering，博士，导师：Khalid M. Mosalam

  2016.08 - 2020.05    University of California Berkeley，Computer Science (计算机科学)，博士辅修，导师：John F. Canny 

  2016.08 - 2020.05    University of California Berkeley，Statistics (统计学)，博士辅修，导师：Aditya Guntuboyina

• 2015.08 - 2016.05    University of California Berkeley，Civil and Environmental Engineering，硕士，导师：Khalid M. Mosalam

• 2014.09 - 2015.05    上海交通大学，计算机科学与人工智能，委培

• 2010.09 - 2014.06    同济大学，建筑工程系，学士， 导师：陈以一

工作经历

• 2024.01 - 至今          同济大学，结构防灾减灾工程系，副教授

• 2023.11 - 2023.12    同济大学，结构防灾减灾工程系，特聘研究员

• 2020.06 - 2023.10    University of California Berkeley，Civil and Environmental Engineering，Postdoctoral Researcher，导师：Khalid M. Mosalam

研究方向

主要研究方向为基于人工智能的结构健康监测、结构智能设计和结构智能防灾，包括但不限于：

• 基于人工智能的结构健康监测

• 生成式人工智能与结构设计

• 基于多模态大语言模型的结构智能防灾

• 基于强化学习的数字孪生与模型更新

• 计算机视觉与深度学习

主要荣誉和奖励

• 入选国家级海外高层次青年人才计划

• 入选上海市海外高层次人才计划

• 入选上海市启明星扬帆计划
  

• 《Computer-Aided in Civil and Infrastructure Engineering》期刊2021年度最佳论文奖

• 《Engineering Structures》期刊2022年度最佳论文奖第二名

主要科研项目

• 基于多模态数据的结构健康监测，2024-至今，同济大学高层次人才科研项目

• 复杂幕墙系统数物模型重构与韧性评估，2022-至今，同济大学高峰学科重点项目

• 极端事件下的桥梁快速评估系统，2020-2023，太平洋地震工程研究中心

• 自动化韧性建筑工地监测系统，2020-2023，清华-伯克利深圳研究院

• 基于数据驱动的结构健康监测，2017-2020，清华-伯克利深圳研究院

学术专著

• Mosalam, K. M., Gao, Y. (2024). Artificial Intelligence in Vision-Based Structural Health Monitoring. Springer.

代表性论文

已发表第一/通讯作者SCI期刊论文20余篇，包括ESI高被引Top1%论文、土木领域顶刊《Computer-Aided in Civil and InfrastructureEngineering》与《EngineeringStructures》最佳论文、期刊Top-Cited/MostDownload等高质量论文。代表性论文如下：

• Gao, Y., & Mosalam, K. M. (2018). Deep transfer learning for image‐based structural damage recognition. Computer‐Aided Civil and Infrastructure Engineering, 33(9), 748-768.

• Gao, Y., Kong, B., & Mosalam, K. M. (2019). Deep leaf‐bootstrapping generative adversarial network for structural image data augmentation. Computer‐Aided Civil and Infrastructure Engineering, 34(9), 755-773.

• Gao, Y., & Mosalam, K. M. (2020). PEER Hub ImageNet: A large-scale multiattribute benchmark data set of structural images. Journal of Structural Engineering, 146(10), 04020198.

• Gao, Y., Mosalam, K. M., Chen, Y., Wang, W., & Chen, Y. (2021). Auto-regressive integrated moving-average machine learning for damage identification of steel frames. Applied Sciences, 11(13), 6084.

• Gao, Y., Zhai, P., & Mosalam, K. M. (2021). Balanced semisupervised generative adversarial network for damage assessment from low‐data imbalanced‐class regime. Computer‐Aided Civil and Infrastructure Engineering, 36(9), 1094-1113.

• Gao, Y., & Mosalam, K. M. (2022). Deep learning visual interpretation of structural damage images. Journal of Building Engineering, 60, 105144.

• Wang, Z., Zhang, Y., Mosalam, K. M., Gao, Y., & Huang, S. L. (2022). Deep semantic segmentation for visual understanding on construction sites. Computer‐Aided Civil and Infrastructure Engineering, 37(2), 145-162.

• Gao, Y., Yang, J., Qian, H., & Mosalam, K. M. (2023). Multiattribute multitask transformer framework for vision‐based structural health monitoring. Computer‐Aided Civil and Infrastructure Engineering, 38(17), 2358-2377.

• Mosalam, K., Muin, S., & Gao, Y. (2019). NEW DIRECTIONS IN STRUCTURAL HEALTH MONITORING. NED University Journal of Research.

• Yang, X., Gao, Y., Fang, C., Zheng, Y., & Wang, W. (2022). Deep learning‐based bolt loosening detection for wind turbine towers. Structural Control and Health Monitoring, 29(6), e2943.

• Zheng, Y., Gao, Y., Lu, S., & Mosalam, K. M. (2022). Multistage semisupervised active learning framework for crack identification, segmentation, and measurement of bridges. Computer‐Aided Civil and Infrastructure Engineering, 37(9), 1089-1108.

• Fan, Y., Lu, W., Yuan, M., & Gao, Y. (2023). A Modified Full-Scale Experimental Method on the Seismic Performance of Complex Façade System. Journal of Earthquake Engineering, 1-21.

• Fang, C., Ping, Y., Gao, Y., Zheng, Y., & Chen, Y. (2022). Machine learning-aided multi-objective optimization of structures with hybrid braces–Framework and case study. Engineering Structures, 269, 114808.

• Gu, Z., Lu, W., & Gao, Y. (2022). Asymmetrical friction damper to improve seismic behavior of tension-only braces: An experimental and analytical study. Engineering Structures, 256, 114029.

• Gu, Z., Lu, W., Fan, Y., & Gao, Y. (2023). An uncoupled damping system for tension-only braced structures: experimental and numerical analysis. Engineering Structures, 281, 115777.

• Gu, Z., Lu, W., Fan, Y., & Gao, Y. (2023). Automated simplified structural modeling method for megatall buildings based on genetic algorithm. Journal of Building Engineering, 77, 107485.

• Fu, B., Wang, W., & Gao, Y. (2024). Physical rule-guided generative adversarial network for automated structural layout design of steel frame-brace structures. Journal of Building Engineering, 86, 108943.

• Fu, B., Gao, Y., & Wang, W. (2024). A physics‐informed deep reinforcement learning framework for autonomous steel frame structure design. Computer‐Aided Civil and Infrastructure Engineering.

学术组织兼职

担任20余本SCI期刊审稿人，如Computer-Aided in Civil and Infrastructure Engineering，Automation in Construction与Earthquake Engineering and Structural Dynamics等