Ph.D. candidate in Materiali, Processi Sostenibili E Sistemi Per La Transizione , 38th cycle (2022-2025)
Department of Environment, Land and Infrastructure Engineering (DIATI)
Profile
PhD
Tutors
Research interests
Curriculum
Research topics
- Machine learning and Big Data Analytics tools applications for anthropic-related subsidence, both characterization and study. Focus on the injection/production of fluids in the underground (H2, water and hydrocarbons) over the Po Plain, Italy.
Research
Other activities and projects related to research
We study how machine learning and big data analytics, using InSAR data, can help us to better understand the subsidence-related effects.
Publications
PoliTO co-authors
Latest publications View all publications in Porto@Iris
- Eid, Celine; Garcia Navarro, Alberto Manuel; Benetatos, Christoforos; Rocca, Vera (2024)
Cluster analysis of InSAR data for the investigation of groundwater production effects. In: EGU General Assembly 2024, Vienna, Austria, 15-19 Aprile 2024
Contributo in Atti di Convegno (Proceeding) - Garcia Navarro, Alberto Manuel; Rocca, Vera; Capozzoli, Alfonso; Chiosa, Roberto; Verga, ... (2024)
Investigation of ground movements induced by underground gas storages via unsupervised ML methodology applied to InSAR data. In: GAS SCIENCE AND ENGINEERING, vol. 125, pp. 1-20. ISSN 2949-9089
Contributo su Rivista - Garcia Navarro, Alberto Manuel; Capozzoli, Alfonso; Rocca, Vera; Romagnoli, Raffaele (2020)
A glance about the Big Data Analytics in the Oil&Gas industry. In: GEAM. GEOINGEGNERIA AMBIENTALE E MINERARIA, vol. 2, pp. 36-43. ISSN 1121-9041
Contributo su Rivista
Society and Enterprise
Patents and other intellectual properties
- KLUSTER MAPPING. national Software
Inventors: Alfonso Capozzoli Roberto Chiosa Alberto Manuel Garcia Navarro Vera Rocca