Alberto Manuel Garcia Navarro

PhD Student on Materials, Sustainable Processes and System for the Energy Transition - DIATI Polito (November 2022). We will study how machine learning and big data analytics tools, using InSAR data, can expand the horizon of alternatives for the comprehension of subsidence effects, related to the production/injection of fluids in the underground (H2, water and hydrocarbons). Outside Research Collaborator - DIATI Polito (2021-2022). Focus on the development of innovative tools and methodologies using unsupervised machine learning techniques, applied to the study of anthropic-caused subsidence using InSAR data (effects characterization due to underground gas storage, Emilia-Romagna and Lombardy regions). Petroleum and Mining Engineering, POLITO 2021, with the thesis: Application of the data clusterization approach to the satellite measures of altimetric variation in the Emilia-Romagna Region (Italy). Tut. Vera Rocca (DIATI-POLITO), Alfonso Capozzoli (DENERG-POLITO), Luisa Perini (CNR-BOLOGNA). Petroleum Engineering. Universidad Central de Venezuela, 2017 - Pending diploma, double-degree agreement POLITO-UCV. Solid background in reservoir engineering, project management, GIS systems and programming (R, Python, SQL e VBA). Doctoral Research interview "Machine Learning and InSAR" - "Biennale di Tecnologia 2022" - Polytechnic of Turin -