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.
Key Topics
- Large language models for earthquake forecasting
- Deep Learning for Seismic Processing
- Physics-Informed Neural Networks in Geodynamics
- Unsupervised Learning for Geological Mapping
- Machine learning in earthquake and volcano Early Warning Systems
Important Dates
- Abstract Submission: January 30, 2026
- Early Bird Reg: 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. Karianne Bergen
Brown University
Data Science & Seismic Detection
Prof. Zachary Ross
Caltech
Deep Learning for Geophysics
Dr. Mostafa Mousavi
Creator of EQTransformer
Organizing Committee
Prof. Chris James Marone
Sapienza University of Rome
Dept. of Earth Sciences
Dr. Paul Johnson
LANL
(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
Sponsors & Partners
