Born in 1994, Roberto Del Prete is an Italian researcher whose expertise lies in the application of deep learning and edge computing to remote sensing. His research is primarily oriented towards advancing time-critical decision-making capabilities through sophisticated AI-driven methodologies, with a focus on space missions and Earth observation systems.
Del Prete currently serves as a Postdoctoral Researcher (Internal Research Fellow) at the European Space Agency’s Φ-lab (Phi-lab). He completed a Ph.D. at the University of Naples Federico II, where he also obtained his Master’s and Bachelor’s degrees in Aerospace Engineering. Among his significant achievements was the design and implementation of “FederNet,” an innovative terrain relative navigation system.
His professional trajectory includes tenure as a Visiting Researcher at ESA’s Φ-Lab and at SmartSat CRC in Australia. Del Prete has been recognized with the 2022 NATO STO Early Career Scientist Award and was a participant in the 2021 NASA-ESA Trans-Atlantic Training initiative.
He has made substantial contributions to high-profile projects such as the Kanyini Mission and PYRAWS, where he developed advanced AI algorithms for applications including real-time maritime surveillance and thermal anomaly detection. With a portfolio comprising 28 peer-reviewed scientific publications and 16 conference presentations, Del Prete remains committed to harnessing state-of-the-art technologies to address complex global challenges in the domains of remote sensing and artificial intelligence.
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