职称：副教授
研究领域：结构健康监测、桥梁智慧运维、计算机视觉、深度学习、无人机
办公地点：抗震大楼1区605室
电子邮箱：gao.fan@gzhu.edu.cn
个人简介
广州大学工程抗震研究中心副教授，硕士研究生导师。2020年博士毕业于澳大利亚科廷大学。长期致力于智能基础设施运维前沿研究，聚焦深度学习赋能的结构健康监测与桥梁检测数智化转型，相关成果以第一或通讯作者发表高水平SCI论文近二十篇。主持国家自然科学基金青年科学基金一项，广州市基础与应用基础研究一项。指导学生获第二届结构健康监测国际竞赛(IC-SHM, 2021)荣誉奖、第三届结构健康监测国际竞赛(IC-SHM, 2022)二等奖。欢迎各位热爱学术，对前沿科学感兴趣的同学加入。
教育背景
2012.02-2016.01 科廷大学 土木与建筑工程 学士
2016.11-2020.09 科廷大学 土木工程 博士
职业经历
2020.11-2023.04 广州大学土木与交通工程学院 讲师
2023.04-2024.07 广州大学工程抗震研究中心 讲师
2024.07-至今 广州大学工程抗震研究中心 副教授
教授课程
《画法几何与工程制图》、《工程技术经济》、《建筑结构试验与检测》、《土木工程专业英语》、《土木工程发展前沿与系列讲座》
科研项目
[1] 广州市基础研究计划基础与应用基础研究项目，2022-2024，主持
[2] 国家自然科学基金青年科学基金项目，2021-2024，主持
研究成果
[1] Shihong Chen, Gao Fan*, Jun Li*, Hong Hao. Automatic complex concrete crack detection and quantification based on point clouds and deep learning. Engineering Structures, 2025, 327: 119635.
[2] Gao Fan, Deyun Zhang, Manman Hu, Jun Li*, Hong Hao. Systematical vibration data recovery based on novel convolutional self-attention networks. Journal of Civil Structural Health Monitoring. 2024, 1-21.
[3] Linjie Huang, Gao Fan*, Jun Li*, Hong Hao. Deep learning for automated multiclass surface damage detection in bridge inspections. Automation in Construction. 2024, 166: 105601.
[4] Qiqi Zeng, Gao Fan*, Dayang Wang*, Weijun Tao, Airong Liu. A systematic approach to pixel-level crack detection and localization with a feature fusion attention network and 3D reconstruction. Engineering Structures. 2024. 300: 117219.
[5] Shihong Chen, Gao Fan*, Jun Li*. Improving completeness and accuracy of 3D point clouds by using deep learning for applications of digital twins to civil structures. Advanced Engineering Informatics. 2023. 58: 102196.
[6] Gao Fan, Zhengyan He, Jun Li*. Structural dynamic response reconstruction using self-attention enhanced generative adversarial networks. Engineering Structures. 2023, 276: 115334.
[7] Jun Li, Wupeng Chen, Gao Fan*. Structural health monitoring data anomaly detection by transformer enhanced densely connected neural networks. Smart Structures and Systems, 2022, 30(6): 613-626.
[8] Jun Li, Zhengyan He, Gao Fan*. Structural health monitoring response reconstruction based on UAGAN under structural condition variations with few-shot learning, Smart Structures and Systems, 2022, 30(6): 687-701.
[9] Gao Fan, Jun Li*, Hong Hao, Yu Xin. Data driven structural dynamic response reconstruction using segment based generative adversarial networks, Engineering Structures, 2021, 234: 111970.
[10] Gao Fan, Jun Li*, Hong Hao. Dynamic response reconstruction for structural health monitoring using densely connected convolutional networks. Structural Health Monitoring. 2021, 20(4): 1373-1391.
[11] Gao Fan, Jun Li, Hong Hao*. Vibration signal denoising for structural health monitoring by residual convolutional neural networks. Measurement. 2020, 157: 107651.
[12] Gao Fan, Jun Li*, Hong Hao. Lost data recovery for structural health monitoring based on convolutional neural networks. Structural Control and Health Monitoring. 2019, 26(10): e2433.
[13] Gao Fan, Jun Li*; Hong Hao. Improved automated operational modal identification of structures based on clustering, Structural Control and Health Monitoring. 2019, 26(12): e2450.
[14] Jun Li*, Hong Hao, Gao Fan, Pinghe Ni, Xiangyu Wang, Changzhi Wu, Jae-Myung Lee, Kwang-Hyo Jung, Numerical and experimental verifications on damping identification with model updating and vibration monitoring data, Smart Structures and Systems, 20(2): 127-137, 2017.
[15] Wenhao Zheng, Jun Li*, Hong Hao, Gao Fan, Missing data imputation for structural health monitoring using unsupervised domain adaptation and pretraining techniques, 382: 119694, 2025.
