Keynotes
Christopher Johnson is a research Seismologist/Geophysicist with
training as Feynman Distinguished Postdoctoral Fellow at Los Alamos National
Laboratory. His research projects apply machine learning algorithms to seismic
and geodetic data. He received his Ph.D. focused in Earth and Planetary Science
from University of California, Berkeley, specializing in Seismology and Geodesy.
Vincenzo Ventriglia is currently conducting research at the National Institute of Geophysics and Volcanology (INGV), where he develops machine learning models for applications in the Space Weather domain. His work focuses on uncovering hidden patterns in scientific data and translating them into actionable insights for stakeholders. He studied Physics in Italy (Napoli) and Germany (Frankfurt am Main).
Martijn van den Ende is a geophysicist and postdoctoral researcher at Université Côte d’Azur, affiliated with the Géoazur laboratory and 3IA Côte d’Azur. His research applies machine learning techniques to seismology, with a particular focus on distributed acoustic sensing (DAS), earthquake detection, and earthquake mechanics.
Francesco Armando Di Bello is a physicist and assistant professor (tenure track) at the University of Pisa. In recent years, he has specialized in applying machine learning algorithms to enhance data analysis for LHC experiments at CERN. He is a member of the ATLAS experiment and has held several coordination roles within the collaboration, both at the national and international level.
Valerio Marsocci is an Internal Research Fellow at the ESA Φ-lab, working on geospatial foundation models with a focus on benchmarking them for real-world applications. He received a Ph.D. in Data Science (2019–2023) from Sapienza University of Rome. During his Ph.D., he visited the University of Crete (Greece) and Institut Géographique National (France). He held postdoctoral positions at CNAM (France) and KU Leuven (Belgium)
Panel Session
Chris Marone is a geophysicist and professor at Sapienza University of Rome and Pennsylvania State University. His research focuses on earthquake physics and fault mechanics, with particular emphasis on fault zone friction and slow earthquakes. He is known for developing laboratory experiments to simulate fault slip and for applying machine learning to earthquake forecasting.
Tiziana Catarci is a computer scientist and Full Professor at Sapienza University of Rome, where she is Director of the Department of Computer, Control, and Management Engineering (DIAG). Her research focuses on human-computer interaction, databases, and information visualization. She is recognized for her leadership in computer science and her contributions to data management.
Alberto Michelini is a geophysicist and Research Director at the Istituto Nazionale di Geofisica e Vulcanologia (INGV) in Rome. His work focuses on real-time earthquake monitoring, seismic networks, and early warning systems. He is recognized for advancing Italy’s seismic infrastructure and for his contributions to international earthquake monitoring efforts.
Stefano Giagu is a physicist and Full Professor at Sapienza University of Rome. His research focuses on high-energy particle physics and advanced computational methods. He has contributed to major experiments at CERN, including the discovery of the Higgs boson, and leads the ATLAS Rome group.