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06/10/2026
Following the online course Innovative Digital Strategies for Structural and Infrastructural Vulnerability Detection — held on September 15, 2026, within the framework of STRENGTH Project — we are pleased to announce that video recordings of all keynote presentations are now accessible online as on-demand webinars.
The course brought together leading experts and researchers from the University of Ferrara, the National Institute of Oceanography and Applied Geophysics (OGS), and the University of Split to examine state-of-the-art tools for hazard assessment, geophysical monitoring, artificial intelligence, and structural modeling.
Whether you missed the live sessions or wish to revisit specific technical insights, you can now access the full series of five dedicated webinars.
Available Webinar Modules:
- Vulnerability to natural hazards related to climate change: the STRENGTH Project
Speaker: Elena Benvenuti – Department of Engineering, University of Ferrara - Geophysical Measurements for Seismic and Hydraulic Vulnerability Assessment
Speaker: Gaia Travan – National Institute of Oceanography and Applied Geophysics (OGS)
A technical exploration of geophysical survey approaches used to diagnose ground and structural vulnerabilities under seismic and hydraulic pressures. - High-Resolution Thermal Images for Training AI Systems for Structural Assessments
Speaker: Petra Bagavac – Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), University of Split
Insights into the application of thermographic data and computer vision/AI workflows for non-destructive inspection and damage detection. - Advanced Structural Risk Assessment: Determination and Use of Seismic Fragility Curves
Speakers: Željana Nikolić & Toni Kekez – Faculty of Civil Engineering, Architecture and Geodesy (FGAG), University of Split
A methodological deep-dive into deriving, validating, and deploying fragility curves to quantify structural vulnerability during earthquake events. - The Innovative Application of Fragility Methods to Floods: Machine Learning Surrogates for Predicting and Interpreting Flood Fragility Parameters of Masonry Walls
Speaker: Stefanos Georgiadis – Department of Engineering, University of Ferrara
A presentation demonstrating how ML surrogate models can accelerate and refine the estimation of flood-induced fragility for masonry structures.
All recordings are available for citizens, researchers, civil protection authorities, structural engineers, and public administrators interested in resilient infrastructure design and disaster risk reduction.
The webinars are available in the Videos and Webinars section of the Library page on this website.

