Teaching

Supporting Ph.D.- Luigi Russo

Ph.D. in Information technology for engineering, University of Sannio and University of Pavia, 2024

Ph.D. Activities: Climate Change Impact Evaluation on levels of water resources through deep learning techniques

Supporting Ph.D.- Francesco Mauro

Ph.D. in Information technology for engineering, University of Sannio, Engineering Department, 2024

Ph.D. Activities: Climate Change Impact Evaluation on levels of water resources through deep learning techniques and Quantum Computing for Earth Observation

Supporting Ph.D. - Andrea Ceschini

Ph.D. in Information and Communication Engineering, La Sapienza University of Rome, 2024

Ph.D. Activities: Quantum Machine Learning on NISQ devices

Master Thesis Co-Relator - Francesco Mauro

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

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

Bachelor Thesis Co-Relator - Pietro Di Stasio

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

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

Bachelor Thesis Co-Relator - Giovanni Pagnozzi

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

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

Bachelor Thesis Co-Relator - Simona Reale

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

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

Bachelor Thesis Co-Relator - Luigi Russo

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

Thesis title: 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 - Tony De Corso

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

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

Bachelor Thesis Co-Relator - Morena Gismondi

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

Thesis title: 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 Advisor - Luca Mignone

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

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

Bachelor Thesis Advisor - Gianluca Di Cosmo

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

Thesis title: 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 Co-Relator - Francesco Mauro

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

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