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Bachelor Thesis Co-Relator - Francesco Mauro

Bachelor Degree in Electronic Engineering for Automation and Telecommunications, University of Sannio, Engineering Department, 2020

Analysis of the correlation between Sentinel-5P data and epidemiological data. Case study: spread of Covid-19 in the Lombardy region

Bachelor Thesis Advisor - Gianluca Di Cosmo

Bachelor Degree in Electronic Engineering for Automation and Telecommunications, University of Sannio, Engineering Department, 2020

Use of Sentinel-5P data for the analysis of the correlation between NO2 levels and the number of infections due to Covid-19. Case study: Wuhan area

Bachelor Thesis Advisor - Luca Mignone

Bachelor Degree in Electronic Engineering for Automation and Telecommunications, University of Sannio, Engineering Department, 2020

Use of differential interferometry on Sentinel-1 images for the measurement of earthquake-induced ground displacements.

Bachelor Thesis Co-Relator - Morena Gismondi

Bachelor Degree in Electronic Engineering for Automation and Telecommunications, University of Sannio, Engineering Department, 2020

Use of Sentinel-5P data for the analysis of the correlation between NO2 levels and mobility data in areas with a high number of infections due to Covid-19. Case study: Lombardy Region.

Bachelor Thesis Co-Relator - Tony De Corso

Bachelor Degree in Electronic Engineering for Automation and Telecommunications, University of Sannio, Engineering Department, 2020

Application of DInSAR technique to high coherence satellite images for strategic infrastructure monitoring: Morandi Bridge

Bachelor Thesis Co-Relator - Luigi Russo

Bachelor Degree in Electronic Engineering for Automation and Telecommunications, University of Sannio, Engineering Department, 2021

Development of a Machine Learning model based on the “categorical boosting” technique for the correlation between tropospheric NO2 and NO2 on the ground

Bachelor Thesis Co-Relator - Simona Reale

Bachelor Degree in Electronic Engineering for Automation and Telecommunications, University of Sannio, Engineering Department, 2021

Performance analysis of a new splitting method for datasets in machine learning models. Case study: detection of volcanic eruptions

Bachelor Thesis Co-Relator - Giovanni Pagnozzi

Bachelor Degree in Electronic Engineering for Automation and Telecommunications, University of Sannio, Engineering Department, 2022

Analysis of large strategic structures using the PyGMTSAR tool on Sentinel-1 data

Bachelor Thesis Co-Relator - Pietro Di Stasio

Bachelor Degree in Electronic Engineering for Automation and Telecommunications, University of Sannio, Engineering Department, 2022

Use of Sentinel-5P data for the early detection of volcanic eruptions through on-board Artificial Intelligence

Master Thesis Co-Relator - Francesco Mauro

Master Degree in Electronic Engineering for Automation and Telecommunications, University of Sannio, Engineering Department, 2022

Climate Change Impact Evaluation on levels of water resources through deep learning techniques