Machine Intelligence and Slope Stability Laboratory

Today, my keynote speech on what AI is doing as a disruptive technology to the field of slope hazard, with a view on mapping, detection, process classification, kinematic zoning, volume prediction, monitoring, and time-of-failure estimation. I have discovered productive common ground with underground engineering and a lot of ideas from a community which seems well ahead in the exploitation of ML and DL methods. The next edition of this workshop will be held in my hometown Florence, so please come next year to the 3rd FOMLIG and 6th MLIGD!

Opening Ceremony of the 2nd Workshop on Future of Machine Learning in Geotechnics and 5th Machine Learning in Geotechnics Dialogue in Chengdu. Honored to be a keynote speaker in such a high level conference. Looking forward to a weekend fully packed with AI applications to geotechnics and geomechanics. #geoai #geodata #machinelearning #deeplearning #geotechnics

We are excited to kick off the Summer School on "Mass Movements Under Climate Change" tomorrow! Mountainous regions are increasingly threatened by extreme weather events and climate change, particularly with regard to slope instability. Mass movements are expected to become more frequent and severe, but advanced remote sensing methods and geophysical monitoring systems offer crucial tools to better understand and mitigate these risks. Organized by the Dipartimento di Geoscienze Unipd at the Università degli Studi di Padova, in collaboration with CNR IRPI and Ordine Geologi del Veneto, the Summer School will delve into these critical issues through a series of lectures and a field trip to the Southern Alps, where we will study real-world landslide case studies. We are proud to have an outstanding team of lecturers, including: Filippo Catani, Ascanio Rosi, Lorenzo Giovannini, David Peres, Francesco Marra, Sansar Raj Meena, Pierluigi Confuorto, Giorgio Cassiani, Jacopo Boaga, Luca Peruzzo, Sebastian Uhlemann, Mirko Pavoni, Emanuele Intrieri, and Alessandro Pasuto. Looking forward to seeing you all tomorrow! https://lnkd.in/di4DYU9D

Despite significant progress in the development of advanced technologies for detecting and monitoring unstable #slopes, accurately predicting catastrophic #landslides remains a challenge. The main goal of the Machine Intelligence and Slope Stability Laboratory (MISS-Lab) at the Department of Geosciences of the Università degli Studi di Padova is to apply machine learning and deep learning methods to all the phases of landslide risk management, from data mining to hazard assessment, loss estimation, and resilience metrics. The MISS-Lab was established between 2021 and 2022 to apply artificial intelligence technologies to all the different applications in landslide studies or in general for hydrogeological disaster-related research. Among the new achievements, there is the building of a cluster with very high computational capabilities which is being settled in the framework of the Department's Project of Excellence "Geosciences for Sustainable Development". In the video, Prof. Filippo Catani, Head of the Miss-Lab; the researcher Sansar Raj Meena and the PhD students Lorenzo Nava and Kushanav Bhuyan tell more about this line of research. Recording and editing by Barbara Paknazar

Mountainous regions are facing a severe threat from extreme weather events and climate change, particularly when it comes to slope instability. It is predicted that mass movements will become more frequent and severe in the coming years. However, advanced remote sensing methods, along with geophysical subsurface characterization and monitoring systems, can aid in the study of landslide evolution. The Summer School "Mass movements under climate change: characterization and monitoring", organized by the Department of Geosciences in collaboration with CNR IRPI and Ordine Geologi del Veneto, will focus on critical open questions, related to this crucial research area. The Summer School will be held from 18 to 20 September 2024 and will offer frontal lessons and a field trip in the Southern Alps mountains to visit landslide case studies. Lessons will be held in English. More information is available here: https://lnkd.in/d8hpkPmx The event is organized in the framework of MUR Excellence Project "Geosciences for Sustainable Development (2023-2027)" #landslides #massmovements #climatechange #extremeevents #slope #geosciences

Delighted to have visited the Boston University's Department of Earth and Environment, Center for Remote Sensing. Collaborating with Prof. Magaly Koch was incredibly enriching, contributing to innovative research in remote sensing was a remarkable experience. Grateful for this enriching chapter in my academic journey! #Boston University #RemoteSensing #AcademicJourney

In the aftermath of the recent landslide in Wayanad, Kerala, we conducted an analysis to map debris flow paths and assess the impact on local buildings. 🔍 Findings: • Debris Flow Paths: Natural drainage patterns exacerbated the landslide’s impact. • Building Damage: Many buildings in the path were severely affected (purple), while others remained safe (yellow), offering insights into safer construction zones. • Topography’s Role: The terrain played a crucial role in the disaster, highlighting the need for data-driven urban planning. I am thankfull to Sayantan Mandal for his support. This research underscores the importance of integrating geological data in disaster preparedness and urban planning. #Wayanad #LandslideAnalysis #DisasterManagement #UrbanPlanning