About me

Alessandro Sebastianelli received the degree (cum laude) in Electronic Engineering for Automation and Telecommunications from the University of Sannio in 2019, where he also obtained the Ph.D. degree in Information Technologies for Engineering in 2022. His expertise covers remote sensing and satellite data analysis, artificial intelligence for Earth observation, and quantum computing. He has coauthored a book and around 50 publications in reputed journals and international conferences, with an H-index of 13 and more than 775 citations. He has also managed and chaired sessions at leading workshops and international conferences. He received an IEEE award for one of the best theses in geoscience and remote sensing. He served as a visiting researcher and later as a research fellow at the European Space Agency (ESA Φ-lab) for a total of six years, until 09/2025, where he was responsible for both the research line and industrial activities on quantum computing for Earth observation. After a selective process, he was awarded ESA co-funding through the OSIP program to carry out research on AI-driven domain translation and data fusion for Earth observation applications. He also worked for a few months as an Earth Observation Engineer at Titan4, focusing on structural monitoring based on SAR and optical satellite data. He currently leads the QC4EO working group within the QUEST IEEE GRSSS Technical Committee and covers the role of Topical Associate Editor in IEEE Transactions on Geoscience and Remote Sensing (TGRS)). In 09/2025, he joined the Euro-Mediterranean Center on Climate Change (CMCC) as a Junior Scientist in the REMHI Division and PRESTO Unit.

In his spare time he enjoys photography instagram page/photographer portfolio.

Download his full Curriculum Vitae here.

News

Self-developed python libraries

  • hqm - hybrid quantum models integration for torch and keras
  • opensv - open satellite vision, containing functions to work with EO data
  • bplot - quick way to plot and show data
  • LaTeX utils - creating LaTeX code automatically from python