高宇擎 - 同济大学 - 土木工程学院

个人简介

教育经历 2016.08 - 2020.05 University of California Berkeley，Civil and Environmental Engineering，博士，导师：Khalid M. Mosalam 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 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《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

研究领域

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

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

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.

学术兼职

担任10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