Valerio Marsocci received a B.Sc., an M.Sc. in environmental engineering, and a Second Level master’s degree in Big Data, all from Sapienza University of Rome, Italy. He graduated with a Ph.D. in Data Science (2019–2023) at the Sapienza University of Rome. During his Ph.D., he visited the University of Crete, Heraklion, Greece, and Institut Géographique National, Paris, France. He did a postdoc in CNAM, Paris, France. He is concluding his post-doc at KU Leuven, Belgium. His research topics are Geospatial Foundation Models (GFMs), Adaptation Strategy for GFMs, (Continual) Self-Supervised Learning, and (3D) Change Detection
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