Conference Overview
Welcome to ML4SEG 2026. This conference bridges the gap between modern Machine Learning techniques and the complex challenges of Solid Earth Geoscience.
From earthquake detection and advances toward earthquake forecasting, to seismic tomography to volcanic eruption forecasting and mineral exploration, we aim to foster collaboration between data scientists and geoscientists.
📖 Publication: All accepted abstracts followed by a registration will be published in the INGV Miscellanea book of abstracts with DOI.
Key Topics
- Large language models for earthquake forecasting
- Deep Learning for Seismic Processing
- Physics-Informed Neural Networks in Geochemistry and Geodynamics
- Unsupervised Learning for Geological Mapping
- Machine learning in earthquake and volcano Early Warning Systems
- Machine and Deep Learning for unveiling magmatic processes
Important Dates [NEW]
- Abstract Submission: March 15, 2026
- Registration: March 15, 2026
- Conference: June 14-19, 2026
Invited Keynote Speakers
We are honored to host leading pioneers in AI and Geophysics.
Prof. Gregory Beroza
Stanford University
Pioneer in Earthquake Seismology & ML
Prof. Mostafa Mousavi
Harvard & Google
Creator of EQTransformer
Prof. Ivan Dokmanić
University of Basel
Head of PHASESHIFT
Prof. George Em Karniadakis
Brown University
William Benter Prize in Applied Mathematics
Prof. Yehuda Ben-Zion
University of Southern California
Emeritus Director of the Statewide California Earthquake Center
Dr. Velimir Vessilinov
Envitrace
AI/ML for Geophysics
Dr. Daniel O'Malley
LANL (Los Alamos National Laboratory)
ML and Computational Science
Dr. Laura Laurenti
ETH Zürich
Deep Learning for Geophysics
Prof. Jonathan Bedford
Ruhr University, Bochum, Germany
Physical Geodesy and Tectonic Geoscience
Prof. Shokouhi Parisa
Penn State University
Acoustics with Machine Learning
Organizing Committee
Prof. Chris James Marone
Sapienza University of Rome
Dept. of Earth Sciences
Dr. Paul Johnson
École normale supérieure
PSL/ Los Alamos National Laboratory
Dr. Christopher William Johnson
LANL
(Los Alamos National Laboratory)
Dr. Flavio Cannavò
INGV
(Istituto Nazionale di Geofisica e Vulcanologia)
Prof. Maurizio Petrelli
University of Perugia
Dept. of Physics and Geology
Prof. Andrea Cannata
University of Catania
Dept. of Biological, Geological and Environmental Sciences
Prof. Concetto Spampinato
University of Catania
Dept. of Electrical Electronic and Computer Engineering
Sponsors & Partners
