About me
Alessandro Sebastianelli received the degree (cum laude) in electronic engineering for automation and telecommunications from the University of Sannio, Benevento, Italy, in 2019, where he also pursed the Ph.D. degree in Information Technologies for Engineering.
His research topics mainly focus on remote sensing and satellite data analysis, artificial intelligence (AI) techniques for Earth observation, data fusion and quantum machine learning. He has coauthored several articles to reputed journals and conferences for the sector of remote sensing. Ha has been a Visiting Researcher with Φ-lab, European Space Agency ESA/European Space Research Institute ESRIN. He has won an ESA OSIP proposal in August 2020. He received an IEEE award for one the best the thesis in geoscience and remote sensing.
Currently he works as Research Fellow in Quantum Computing for Earth Observation at the ESA Φ-lab.
In his spare time he enjoys photography instagram page/photographer portfolio.
Download his full Curriculum Vitae here.
News
- [8 may 2024] quantum computing for earth observation slides are now out
- [3 may 2024] irradianceai is now out
- [3 apr 2024] awesome-QC4EO is now out
Old news
* [22 aug 2023] tutorial on hybrid quantum classifier is now out* [2 sep 2022] artificial intelligence for earth observation (mini-course) is now out
Alessandro’s 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