Filippo Catani，意大利帕多瓦大学地球科学系工程地质学教授，是将人工智能应用于地质灾害研究的国际知名专家。他现任帕多瓦大学机器智能与边坡稳定性（MISS）实验室主任、地球与气候动力学本科项目主任，兼任佛罗伦萨大学联合国教科文组织（UNESCO）地质-水文灾害防治与可持续发展讲席协理（Chair Associate），并自2011年起担任韩国地质资源研究院（KIGAM）滑坡监测与预警特邀教授。他曾任国际滑坡协会（ICL）主席助理（2011–2014），长期担任国际土力学与岩土工程学会（ISSMGE）、国际工程地质与环境协会（IAEG）与国际岩石力学学会（ISRM）联合技术委员会JTC2核心成员，并入选NASA-JPL地表变化研究小组。他在国际学术界担任多个重要职务，包括欧洲地球科学联合会（EGU）期刊《Natural Hazards and Earth System Sciences》、Springer期刊《Geoenvironmental Disasters》编委，并曾任《Landslides》《Remote Sensing》等期刊客座编辑。Catani教授先后于美国麻省理工学院（MIT）、加州大学伯克利分校从事访问研究，是将深度学习与机器学习系统引入滑坡识别、易发性制图与失稳预测的先驱学者之一，成果广泛发表于《Geophysical Research Letters》《Water Resources Research》《Journal of Geophysical Research: Solid Earth》《Landslides》等国际权威期刊，发表论文200余篇、总被引逾1.3万次，入选斯坦福大学与爱思唯尔联合发布的全球最具影响力科学家榜单（位列前1%），位居意大利地球科学领域前列。
Filippo Catani is a Full Professor of Engineering Geology at the Department of Geosciences, University of Padova, Italy, and an internationally recognized expert in the application of artificial intelligence to geohazard research. He currently directs the Machine Intelligence and Slope Stability (MISS) Laboratory and serves as President of the BSc Programme in Earth and Climate Dynamics at the University of Padova. He is also a UNESCO Chair Associate on the Prevention and Sustainable Management of Geo-Hydrological Hazards at the University of Florence, and has been an Invited Professor of Landslide Monitoring and Early Warning at KIGAM (Korea Institute of Geoscience and Mineral Resources) since 2011. He served as Assistant to the President of the International Consortium on Landslides (ICL) from 2011 to 2014, and has been a core member of the Joint Technical Committee JTC2 of ISSMGE, IAEG and ISRM, as well as a member of the NASA–JPL informal group on Earth surface changes. He is editor of the EGU journal Natural Hazards and Earth System Sciences and the Springer journal Geoenvironmental Disasters, and has served as guest editor for Landslides and Remote Sensing. Having conducted visiting research at the Massachusetts Institute of Technology and the University of California, Berkeley, he is regarded as a pioneer in applying deep learning and machine learning to landslide detection, susceptibility mapping, and failure forecasting. His publications, more than 200 international journal papers, have appeared in Geophysical Research Letters, Water Resources Research, Journal of Geophysical Research: Solid Earth, and Landslides, with over 13,000 citations. He is ranked among the world’s top 1% most influential scientists (Stanford–Elsevier list) and among the leading Earth scientists in Italy.