土木工程系
电子邮件：xiaote@sjtu.edu.cn
通讯地址：上海市闵行区东川路800号上海交通大学木兰船建大楼B522
个人主页：https://shortxiaote.github.io
长聘教轨副教授，博士生导师，国家级青年人才。主要从事岩土工程风险防控、城市韧性与数智防灾、滑坡灾害链等研究。每年招收1名博士、1名硕士，常年招聘博士后，欢迎感兴趣的同学和优秀青年学者加入！更多课题组情况请访问个人主页 https://shortxiaote.github.io
Dr. Xiao is an Associate Professor at the Department of Civil Engineering, Shanghai Jiao Tong University. His research interests include geotechnical risk and reliability, urban resilience and AI-powered hazard prevention, landslide hazard chain, etc. Several MSc, PhD, and postdoctoral positions are available. Candidates with backgrounds in civil engineering, hydraulic engineering, engineering geology, or data science are highly preferred. Interested applicants are welcome to contact Dr. Xiao via email (xiaote@sjtu.edu.cn) and visit the homepage (https://shortxiaote.github.io) for more details about the research group.
教育背景 Education Background
2013–2018，工学博士，武汉大学 水工结构工程 / PhD in Hydraulic Structure Engineering, Wuhan University
2009–2013，工学学士，武汉大学 水利水电工程 / BSc in Water Conservancy and Hydropower Engineering, Wuhan University
工作经历 Work Experience
2024至今，长聘教轨副教授，上海交通大学 船舶海洋与建筑工程学院 / Associate Professor, Shanghai Jiao Tong University
2021–2023，研究助理教授，香港科技大学 土木及环境工程学系 / Research Assistant Professor, Hong Kong University of Science and Technology
2018–2021，博士后，香港科技大学 土木及环境工程学系 / Postdoctoral Research Fellow, Hong Kong University of Science and Technology
岩土工程风险防控 / Geotechnical risk and reliability
城市韧性与数智防灾 / Urban resilience and AI-powered hazard prevention
滑坡灾害链 / Landslide hazard chain
工程风险决策 / Risk-informed decision-making
岩土工程数智化 / Intelligent and digital geotechnics
海洋岩土工程 / Offshore geotechnics
助理主编、编委，国际期刊Georisk / Assistant Editor & Editorial Board Member, Georisk
委员，国际数字地球学会中国国家委员会 数字减灾专业委员会 / Member, CNISDE Technical Committee on Digital Disaster Reduction
委员，美国土木工程师学会 堤坝及边坡委员会 / Member, ASCE Geo-Institute Embankments, Dams, and Slopes Committee
委员，中国土木工程学会 工程风险与保险研究分会青年论坛 / Member, Youth Committee of Risk and Insurance Research Branch of China Civil Engineering Society
通讯委员，国际土力学与岩土工程学会 TC304 (风险管理) / TC309 (机器学习) / TC222 (BIM及数字孪生) / Corresponding Member, ISSMGE Technical Committees TC304 / TC309 / TC222
国家级青年人才计划项目，主持，2025–2027
国家自然科学基金面上项目，基于滑坡运动智能计算的库区滑坡风险决策智能体研究，主持，2027–2030
国家自然科学基金青年科学基金，不完备数据条件下区域滑坡时空预测与风险预警方法研究，主持，2025–2027
香港研究资助局主题研究基金 / RGC Theme-based Research Scheme, Digital twin-empowered landslide emergency risk management, Co-I, 2024–2028
国家自然科学基金委与香港研究资助局联合基金 / NSFC-RGC Joint Research Scheme, Evolution of landslide hazard chains triggered by strong earthquakes and the associated dynamic risk management, Co-I, 2021–2024
香港土力工程处政府咨询项目 / Consulting Project for Geotechnical Engineering Office of HKSAR Government, Uncertainties and target reliability of slopes, Co-I, 2023–2024
发表本领域权威期刊论文50余篇，出版英文专著1部。
Publish over 50 SCI-indexed journal papers and one monograph.
Google Scholar: https://scholar.google.com/citations?user=blUFYi4AAAAJ
ResearchGate: https://www.researchgate.net/profile/Te-Xiao-2
专著 Monographs
[1] Zhang, J., Xiao, T., Ji, J., Zeng, P., Cao, Z. J. (2023). Geotechnical Reliability Analysis: Theories, Methods and Algorithms. Springer, Singapore. 310p.
代表性论文 Representative Papers
[1] Xiao, T., Zhang, L. M.*, Cheung, R. W. M., Lacasse, S. (2023). Predicting spatio-temporal man-made slope failures induced by rainfall in Hong Kong using machine learning techniques. Géotechnique, 73(9), 749-765.
[2] Xiao, T., Zhang, L. M.* (2023). Data-driven landslide forecasting: methods, data completeness, and real-time warning. Engineering Geology, 317, 107068.
[3] Ju, L. Y., Xiao, T.*, He, J., Wang, H. J., Zhang, L. M. (2022). Predicting landslide runout paths using terrain matching-targeted machine learning. Engineering Geology, 311, 106902.
[4] Xiao, T., Li, D. Q.*, Cao, Z. J., Zhang, L. M. (2018). CPT-based probabilistic characterization of three-dimensional spatial variability using MLE. Journal of Geotechnical and Geoenvironmental Engineering, 114(5), 04018023.
[5] Xiao, T., Li, D. Q.*, Cao, Z. J., Au, S. K., Phoon, K. K. (2016). Three-dimensional slope reliability and risk assessment using auxiliary random finite element method. Computers and Geotechnics, 79, 146-158.
[6] Zhou, H., Xiao, T.*, Zhang, L. L. (2026). Coupled and decoupled aero-hydro-geotech reliability analyses of monopile-supported offshore wind turbines considering multi-source uncertainty propagation. Ocean Engineering, 366, 127838.
[7] Zhao, F., Zhang, L. L., Xiao, T.*, Chen, Y. (2025). An equivalent state method for submarine spread modeling subject to hydrate dissociation. Engineering Geology, 352, 108070.
[8] Zhang, L. M.*, Xiao, T., He, J., Chen, C. (2019). Erosion-based analysis of breaching of Baige landslide dams on the Jinsha River, China, in 2018. Landslides, 16(10), 1965-1979.
[9] Li, D. Q.*, Xiao, T., Zhang, L. M., Cao, Z. J. (2019). Stepwise covariance matrix decomposition for efficient simulation of multivariate large-scale three-dimensional random fields. Applied Mathematical Modelling, 68, 169-181.
[10] 肖特, 李典庆*, 周创兵. (2025). 岩土工程协同式风险评估方法. 岩土工程学报, 47(7), 1335-1343.
CE3646：人工智能算法 Artificial Intelligence Algorithms
CE8019：城市韧性与数智防灾 Urban Resilience and AI-powered Hazard Prevention
发明专利
基于物理信息神经网络的土体水力耦合模拟方法及系统，ZL202510619173.X
计算机软件著作权
非侵入式岩土工程概率分析软件，2017SR016335
岩土体参数空间变异性随机模拟及可靠度分析软件，2014SR092563
国家级青年人才计划，2023
上海市白玉兰人才计划（青年），2023
国际土力学与岩土工程学会未来之星讲座奖 / ISSMGE Bright Spark Lecture Award，2023
香港工程师学会最佳岩土论文奖 / HKIE Geotechnical Paper Award，2024
国际期刊Géotechnique青年奖 / Géotechnique Early Career Award，2023
国际期刊Georisk最佳论文奖 / Georisk Best Paper Award，2018
国际期刊Georisk高被引论文奖 / Georisk Most Cited Award，2020
国际岩土工程机器学习研讨会最佳论文奖 / FOMLIG Excellent Paper Award，2023
全国高等学校水利类专业优秀博士学位论文，2019
