A-01
Automated AI Agent for Earthquake Location and Magnitude Estimation: Application to Campi Flegrei Caldera 2014β2025 Seismicity
Andrea Sollai (Univ. Naples Federico II)
A-02
AI Framework for Ground-Motion Prediction Across the Italian Seismic Network
Aurora Bassani (Sapienza Univ. Rome)
A-03
Template Matching Using Deep Learning
Dario Jozinovic (ETH Zurich)
A-04
Source Localization from Submarine DAS Data Using Deep Bayesian Beamforming
HE Yufeng (Tsinghua Univ.)
A-05
Masked Graph Neural Network for Rapid Ground Motion Prediction in Italy
Ilaria Oliveti (INGV)
A-06
Diffusion-Based Denoising for Submarine DAS Seismic Monitoring
Jiawei He (Tsinghua Univ.)
A-07
Reconstructing Significant Wave Height from Microseism Data Using Machine Learning: Sicily Channel Case Study
Alfio Marco Borzì (Univ. Catania)
A-08
Integrating Game Engine and PINN for Multi-Scale Building Cluster Earthquake Scenarios
Chenrui Fan (Tsinghua Univ.)
B-01
Towards DL Phase Picking for Diverse Volcanic Seismicity: A Case Study at Tungurahua
Abigail Robinson (Birkbeck, Univ. London)
B-02
Clustering of Tiltmeter Data for Automated Identification of Mount Etna's Active Crater
Adriana Iozzia (INGV-OE)
B-03
Leveraging Machine Learning to Illuminate Magmatic and Tectonic Processes During the 2024 Unrest at KΔ«lauea Volcano
Federica Lanza (Swiss Seismological Service, ETH ZΓΌrich)
B-04
AI-Enabled Digital Twins for Volcano Monitoring: Insights from the DT-GEO Project
Flavio CannavΓ² (INGV-OE)
B-05
Deciphering Pre-Eruptive Dynamics in Antarctic and Italian Volcanoes through Machine Learning
MΓ³nica Γgreda-LΓ³pez (Univ. Perugia)
B-06
Advanced Data Model for the Multidisciplinary Cataloguing of Volcanic Ash
Simona Caruso (INGV-OE)
B-07
Early Detection of Paroxysmal Eruptions at Stromboli Volcano Using Seismic Data
Vittorio Minio (INGV-OE)
B-08
Blind Surrogate Inversion of Deformation Sources
Kaan ΓΓΆkerim (Ruhr Univ. Bochum)
C-01
GPU Accelerated SEAS Simulations for Machine Learning Applications
Gabriele Benedetti (Univ. Iceland)
C-02
Towards ML-Based Characterization of Seismo-Volcanic Events at a Closed-Conduit Volcano: Mt. Melbourne, Antarctica
Graziano Larocca (INGV-OE)
C-03
Application of Data Science and Machine Learning for Prediction of Induced Seismicity
Leticia Garay Romero (Univ. Bologna / INGV)
C-04
Seismology on Rivers: A ML Approach to Monitor Extreme Floods Generated by Cyclonic Storms
Mario Valerio Gangemi (Univ. Catania)
C-05
Physics-Guided ML for Meteotsunami Detection from Co-located Microbarometer and Tide-Gauge Records at Mazara del Vallo
Salvatore D'Amico (INGV Roma 2 / Univ. Catania)
C-06
Machine Learning Based Prediction of Laboratory Fault Peak Slip-Rate Trends Using Seismicity Catalog
Xu Han (GFZ Helmholtz)
C-07
Meta-Learning for Few-Shot Forecasting of Laboratory Earthquakes
Zhixiong Leng (SUSTech)
C-08
Quality Evaluation of Assimilation-Based Forecast of Rate-and-State Governed Fault Analog
Bharath Shanmugasundaram (ENS PSL)