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Biography

Leonardo Olivi studied physics at the Physics Department, University of Torino, Torino, Italy. He received the master’s (Hons.) degree in physics from University of Torino, Torino, Italy, in 2022, and the second-level master’s degree in mathematical and physical methods for aviation sciences from University of Torino, Torino, Italy, in 2023. In 2021, he participated in a Summer School Programme at DESY, Hamburg, Germany. His master’s thesis was about the Stack-CNN refinement using random forest algorithm. His research interests include deep learning and machine learning.

Activities

Education and qualifications (3)

University of Turin: Turin, IT

2022 to 2023 | Second level master (Mathematical and Physical Methods for Aviation Sciences)
Education
Source: Self-asserted source
Leonardo Olivi

University of Turin: Turin, IT

2020-09 to 2022-10 | Master (Physics)
Education
Source: Self-asserted source
Leonardo Olivi

University of Turin: Turin, IT

2017-09 to 2020-07 | Bachelor (Physics)
Education
Source: Self-asserted source
Leonardo Olivi

Works (1)

Refined STACK-CNN for Meteor and Space Debris Detection in Highly Variable Backgrounds

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
2024 | Journal article
Contributors: Leonardo Olivi; Antonio Montanaro; Mario Edoardo Bertaina; Antonio Giulio Coretti; Dario Barghini; Matteo Battisti; Alexander Belov; Marta Bianciotto; Francesca Bisconti; Carl Blaksley et al.
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