招生方向

智能建造（土木）、人工智能（人工智能学位，仅博士，上海自主智能无人系统科学中心）

2027年入学的硕士、博士均已招满。欢迎报考2028年硕士与博士！

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)，博士第二学位，导师：John F. Canny

  2016.08 - 2020.05    University of California Berkeley，Statistics (统计学)，博士第二学位，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

• 智能防灾人形机器人

• 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

• 入选全球前2%顶尖科学家榜单

• 《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

• IEEE第四届人工智能、人机交互与机器人国际会议(AIHCIR 2025)最佳论文奖

主要科研项目

• 基于人工智能的结构状态识别与韧性防灾，2024-至今，国家自然科学基金项目（主持）

• 基于多模态特征融合与可解释性人工智能的结构状态识别，2024-至今，上海市青年科技启明星-扬帆计划（主持）

• 基于多模态数据的结构健康监测，2024-2025，同济大学高层次人才科研项目（主持）

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

• 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（TBSI）

• 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（TBSI）

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40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、人工智能领域顶会和最佳论文、期刊Top-Cited/MostDownload等高质量论文，篇均影响因子超7.5。代表性论文如下：

结构智能健康监测：

• 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., 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.

• 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.

• Yang, X., Gao, Y. (共同第一作者), 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.

• 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.

• Wang, Z., & Gao, Y.* (2025). RT-FEMU: A reinforcement and transfer learning-based framework for continuous finite element model updating. Journal of Building Engineering, 114459.

• Lin, Y., Gao, Y. (共同第一作者), Fang, C., Lyu, Z., & Cheng, X. (2026). X-Bolt: an explainable vision-based framework for bolt loosening detection using a novel visual target. Structural Health Monitoring, 14759217251403370.

结构智能设计：

• 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.

• Fu, B., Gao, Y. (共同第一作者), & Wang, W. (2023). Dual generative adversarial networks for automated component layout design of steel frame-brace structures. Automation in Construction, 146, 104661.

• 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.

• Leng, H., Gao, Y., & Zhou, Y. (2024). ArchiDiffusion: A novel diffusion model connecting architectural layout generation from sketches to Shear Wall Design. Journal of Building Engineering, 98, 111373.

• Du, M., Gao, Y.*, Wang, W., & Fu, B. (2025). FrameGym: A reinforcement learning environments for steel frame structures. Engineering Structures, 343, 120991.

• Li, J., Wang, W., Fu, B., & Gao, Y.* (2025). FrameDiffusion: A latent diffusion model for intelligent layout design of steel frame-braced structures. Engineering Structures, 343, 121195.

• Du, M., Wang, W., Gao, Y.*, & Fu, B. (2025). MAFO-3D: A multi-agent reinforcement learning framework for efficient optimization of 3D steel moment-resisting frames. Engineering Structures, 345, 121574.

• Fu, B., Gao, Y.*, Wang, W., & Du, M. (2026). Autonomous component optimization method for steel braced frame structures based on multi-agent and physics-informed deep reinforcement learning. Advanced Engineering Informatics, 69, 103878.

• Li, J., Gao, Y. (共同第一作者), Wang, W., Lian, Z., & Fu, B. (2026). Deep reinforcement learning-based design optimization method for suspended ceiling systems of space grid structures. Advanced Engineering Informatics, 72, 104482.

• Zhang, F., Gao, Y.* (通讯作者), Fang, C. (2026). Mechanics-coupled deep reinforcement learning for automated design of internal supporting structure in foundation pits. Automation in Construction, 188, 107001.

结构智能防灾与人形机器人：

• Chai, Y., Gao, Y.*, Lu, W., & Lu, X. (2026). VertInspect: Learning-based humanoid whole-body control for glass curtain wall inspection. Advanced Engineering Informatics, 73, 104590. 

• Wang, Z., Gao, Y.*, Zhou, Y., He, J., Peng, J., & Lu, W. (2026). Towards next-generation autonomous structural health monitoring and inspection with humanoid robots. Computer-Aided Civil and Infrastructure Engineering, 100007.

• Chai, Y., Gao, Y.*, & Lu, W. (2025). Humanoid Whole-Body Control for Glass Curtain Wall Inspection Scenarios. In 2025 4th International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR). IEEE.

学术组织兼职

• 中国土木工程学会太空分会理事

• 中国钢结构协会钢结构设计分会理事
  

• 担任30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