Dr. Adelina Geyer Traver is a Senior Scientist at Geosciences Barcelona (GEO3BCN-CSIC) and holder of a BSc and PhD in Earth Sciences from the University of Barcelona. She is the author of more than 80 scientific publications and has participated in 28 national and European research projects. She has held important positions in international scientific organizations and currently serves as Scientific Deputy Director of GEO3BCN-CSIC. Her research focuses on the internal dynamics of volcanic systems, numerical modeling of magmatic processes, and the assessment of volcanic hazards and risk. She also has extensive experience in science outreach and communication, having published four books and developed other educational resources. Her contribution to the SISMOVEGA project will be the development of the book “The Volkis: Adventure in the Vega Baja del Segura.”
Dr. Noé García-Martínez completed his PhD at the University of Alicante, where he focused on the transport of volatiles and heat in volcanic and hydrothermal environments. His research aims to understand how water vapor condensation can release heat in the shallow subsurface and generate pre-eruptive thermal signals in active volcanoes, using a combination of laboratory experiments, numerical modeling, and remote sensing techniques. Within the SISMOVEGA project, his contribution will focus on the detection and interpretation of potential CO2 and 222Rn emissions associated with seismic activity in the area, taking into account the geological structures that may influence the transport of these volatiles.
Dr. Martínez-Garzón is a geophysicist specializing in earthquake physics and crustal deformation at the GFZ Helmholtz Centre for Geosciences in Germany. She leads the Seismo-mechanics and Slip Transients Working Group and serves as Principal Investigator of an ERC Starting Grant (QUAKEHUNTER), as well as of a Helmholtz Young Investigator Group associated with the award of a first professorship for outstanding female scientists. Her research integrates seismic and aseismic deformation processes across a wide range of temporal and spatial scales, with a particular emphasis on understanding the physical mechanisms governing earthquake generation and imaging the stress state of faults to improve seismic hazard assessment. She also holds a joint appointment as Associate Professor of Applied Seismology at RWTH Aachen University, Germany, and is a member of the Young Academy of Spain.
Dr. Beatriz Benjumea is Research Scientist at IGME-CSIC. Her research focuses on the characterization and visualization of subsurface geological structures and processes using geophysical methods. She applies and develops active and passive seismic techniques, geophysical borehole logging, and ground-penetrating radar for glacier studies, integrating these with geological and petrophysical data to build comprehensive models. Her work addresses key challenges in climate change (glaciology), geological hazards (site-effect studies, subsidence), energy transition (geothermal resources, geological storage), and hydrogeology (aquifer characterization, saline intrusion). She also explores innovative technologies such as Distributed Acoustic Sensing (DAS) for urban environments.
Dr. Corentin Caudron is a researcher at the Université Libre de Bruxelles, Belgium, with expertise in multidisciplinary geophysical monitoring, including continuous seismicity, (hydro-)acoustics, lake monitoring, and degassing processes. He has extensive experience in the design and operation of monitoring systems, ranging from seismic and acoustic networks to emerging DAS technology. He has co-led the Commission on Volcanic Lakes (2019–2023) and the focus group on Artificial Intelligence for Eruption Forecasting, and serves as a board editor of the open-access journal Volcanica. Since 2026, he has co-led the IAVCEI/IASPEI Commission on Seismology and Acoustics. He is also actively involved in outreach, media engagement, and art–science initiatives. Within SISMOVEGA, he focuses on noise characterization and subsurface imaging in the Vega Baja del Segura using DAS data.