Prof. Limin Zhang
张利民教授
香港科技大学土木与环境工程系讲座教授、系主任；海岸城市气候韧性全国重点实验室副主任
Lecture
人工智能与数字孪生赋能的滑坡风险管理
AI & Digital-Twin Empowered Landslide Risk Management
Biography
嘉宾介绍
张利民教授现任香港科技大学土木与环境工程系讲座教授、系主任，并担任海岸城市气候韧性全国重点实验室副主任。其研究领域包括边坡、大坝、基础工程以及岩土工程风险评估与管理。
他担任国际土力学与岩土工程学会堤坝技术委员会（ISSMGE TC210）主席，曾任美国土木工程师学会岩土工程学会风险评估与管理委员会主席，并担任《Georisk》主编、《Geodata and AI》专题编辑、《Journal of Geotechnical and Geoenvironmental Engineering》副主编以及多本国际期刊编委。
张教授为香港工程科学院院士，曾获中国工程师大奖、美国土木工程师学会Ralph Peck奖、ISSMGE Lacasse讲座奖和Wilson Tang讲座奖等荣誉。
Lecture Abstract
报告摘要
中文内容根据会务组提供的英文Biography与Abstract整理。
数字孪生正在成为滑坡与洪水应急管理的重要工具。数字孪生是物理系统的虚拟映射，并通过物理系统与虚拟系统之间的信息交换持续更新。报告将介绍一个面向城市尺度的综合数字孪生平台，用于管理滑坡和洪水灾害，并协调社会响应。
该数字孪生系统包括香港全域数字化实景、空天地一体化感知网络以及模拟和风险评估引擎。由于系统涉及海量观测与分析数据，大语言模型成为解释和呈现数据的重要工具。平台能够监测、模拟并展示灾害过程和社会响应过程，从而支持更有效的灾害风险管理。
Biography — English+
Dr. Limin Zhang is Chair Professor and Head of the Department of Civil and Environmental Engineering and Associate Director of State Key Lab of Climate Resilience for Coastal Cities at the Hong Kong University of Science and Technology. His research areas include slopes, dams, foundations, and geotechnical risk assessment and management. Dr. Zhang is Chair of International Society of Soil Mechanics and Geotechnical Engineering (ISSMGE)’s TC210 on Embankment Dams, Past Chair of ASCE Geo-Institute’s Risk Assessment and Management Committee, Editor-in-Chief of Georisk, Special Editor of Geodata and AI, Associate Editor of ASCE’s Journal of Geotechnical and Geoenvironmental Engineering, and editorial board member of Engineering Geology, Computers and Geotechnics and other journals. He is a Fellow of Hong Kong Academy of Engineering and recipient of Chinese National Engineer Award, ASCE Ralph Peck Award, ISSMGE’s Lacasse Lecture Award and Wilson Tang Lecture Award.
Abstract — English+
Digital twin emerges as a powerful tool to empower landslide and flood emergency management. A digital twin is a virtual representation of a physical system that is updated through the exchange of information between the physical and virtual systems. In this lecture, I will introduce a unique city-scale digital twin as an integrated platform for managing landslide and flood hazards and coordinating societal responses. The digital twin comprises a digitized reality of the entire Hong Kong, a space-aerial-ground sensing network, and simulation and risk assessment engines. This involves a huge amount of observational and analysis data so that large language models become essential tools for the interpretation and presentation of data. The digital twin is capable of monitoring, simulating, and displaying both hazard and societal response processes, and hence enables more effective disaster risk management.