Education

Ph.D. Course in Information Technologies for Engineering Cycle XXXV

Oct 2019 - Oct 2022, University of Sannio

Co-funding ESA OSIP Joint Research Proposal: AI powered cross-modal adaptationtechniques applied to Sentinel-1 and Sentinel-2 data

Thesis subject: Satellite Remote Sensing through Machine Learning and Quantum Computing Techniques. My research focuses on the use of Machine Learning techniques applied to various Earth Observation use cases trough classical and quantum computing.

Thesis advisor: Prof. Silvia L. Ullo

Thesis co-advisor Dr. Pierre Philippe Mathieu

Age of graduation: 27

Official duration: 3 years

Master degree in Electronic Engineering for Automation and Telecommunications

Sep 2017 – Oct 2019, University of Sannio

Specific field of the degree course: Electronic Engineering for Automation and Telecommunications, LM-29 - 2nd level degree in Electronic Engineering.

Thesis title: SAR and Optical data fusion using Artificial Intelligence. Generation of Sentinel-2 images from despeckled Sentinel-1 data.

Thesis subject: Artificial Intelligence applied to Earth Observation for the generation trough GAN network of Sentinel-2 data using corresponding SAR data.

Thesis supervisor: Prof. Silvia L. Ullo

Thesis co-supervisor: Dr. Pierre Philippe Mathieu

Age of graduation: 24

Official duration: 2 years

Final degree mark: 110/110 cum laude

Graduation date: 17/10/2019

Bachelor degree in Electronic Engineering for Automation and Telecommunications

Sep 2014 – Oct 2017, University of Sannio

Specific field of the degree course: Electronic Engineering for Automation and Telecommunications, L-8 - 1st level degree in Information technology.

Thesis title: Use of the Differential Interferometry on Sentinel images for the land.

Thesis subject: Satellite Remote Sensing and Differential Interferometry for the measurements of displacements inducted by earthquakes.

Thesis supervisor: Prof. Silvia L. Ullo

Thesis co-supervisor: Prof. Pia Addabbo

Age of graduation: 22