As an enthusiast on the use of AI for new science and applications, helping to explore and accelerate the integration of disruptive technologies in EO workflows is a huge part of my task in the Φ-lab. Together with the EU Satellite Centre, I am prototyping new Deep Learning and cloud computing based methodologies for infrastructure mapping and monitoring with
Copernicus Sentinel-1 in desert regions. In collaboration with the Italian National Geophysics Institute, I carry-out research in potential ionosphere-lithosphere coupling through a machine learning analysis of Swarm data. To facilitate the acquisition of training data to support machine learning analyses, I am managing the development of a crowdsourcing platform. Finally, I stimulate the assimilation of disruptive technologies, such as quantum computing, AI and virtual reality in EO through the organisation of workshops, trainings app camps and other events.
My background is in mathematics, and have specialised in EO since carrying-out an MSc in remote sensing and image interpretation at Edinburgh University. While working at ESA, I obtained a PhD in geoinformation at the University of Tor Vergata in Rome, focusing on SAR applications.
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