Parma, Italy
geoenv2022@unipr.it

Keynote Speakers

Leonardo Azevedo

Leonardo Azevedo is an assistant professor in Instituto Superior Técnico (IST), Universidade de Lisboa and Vice-President of CERENA (Centro de Recursos Naturais e Ambiente). He received a PhD in Earth Resources from IST in 2013. During his PhD he was visiting student at Stanford University and Heriot-Watt University. He is co-author of the book ‘Geostatistical methods for reservoir geophysics’, published by Springer and serves as Associate Editor for Geophysics and Computers and Geosciences. He has published more than 40 papers in international peer-reviewed journals on topics related to geophysics and geostatistics. He is the principal investigator of the wining consortium of the first AI Moonshot challenge, an award promoted by the Portuguese Space Agency, to detect floating plastic debris in the oceans with statistical learning methods. His main research interests are related to the development of statistical-based geophysical inversion methods to model the subsurface at different scales. Recently, he has been focused on the characterization of groundwater systems and waste landfill deposits.

Leonardo’s web page

Carolina Guardiola Albert

Carolina Guardiola Albert holds a PhD in the Polytechnic University of Valencia (2004) and a degree in physics from the University Complutense of Madrid (1997). She has two postgraduate degrees: in geostatistics (School of Mines of Paris, 1998) and in hydrogeology (International Fundation of Hydrogeology, 2004). In 2006 she started working as a researcher in the Geological Survey of Spain (IGME-CSIC). Currently, she is the president of the Spanish Chapter of the International Association of Hydrogeologists (GE-AIH). Her research focuses on hydrogeological modeling and on the application of several branches of statistics in different fields of Earth Sciences. She is co-author of around 80 scientific articles/reports, and has participated in more than 40 research projects/contracts. She has taught 16 training courses in geostatistics and is the coordinator of the annual groundwater flow modeling course of the GE-IAH.

Carolina’s web page

Laura Poggio

Laura Poggio has a background in forestry and environmental sciences and a PhD in Soil Science. Her main research interest is in Digital Soil Mapping and how to integrate soil data in the wider environmental/earth modelling with assessment of the uncertainty. The main topic is the development of spatial, (geo)statistical and Machine Learning models to integrate ground observations with remote sensing data at different spatial scales to assess the role of soil resources within wider ecosystem services, to support sustainable development and conservation goals. Currently, Laura is at ISRIC-World Soil Information in the Netherlands. 

Laura’s web page