Gabriele Cavallaro received his B.Sc. and M.Sc. degrees in Telecommunications Engineering from the University of Trento, Italy, in 2011 and 2013, respectively, and a Ph.D. degree in Electrical and Computer Engineering from the University of Iceland, Iceland, in 2016. He is currently the Head of the ‘‘AI and ML for Remote Sensing’’ Simulation and Data Lab at the Jülich Supercomputing Centre, Forschungszentrum Jülich, Germany and an Adjunct Associate Professor with the School of Natural Sciences and Engineering, University of Iceland, Iceland. He is also the Chair of the High-Performance and Disruptive Computing in Remote Sensing (HDCRS) Working Group of the IEEE GRSS ESI Technical Committee and a Visiting Professor at the Φ-Lab of the European Space Agency (ESA) in the context of the Quantum Computing for Earth Observation (QC4EO) initiative.
He was the recipient of the IEEE GRSS Third Prize in the Student Paper Competition of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015 (Milan - Italy). His research interests cover remote sensing data processing with parallel machine learning algorithms that scale on distributed computing systems and cutting-edge computing technologies, including quantum computers. He serves on the scientific committees of several international conferences and he is a referee for numerous international journals.
- Workshop organizer: 1st International Workshop on "Searching and Mining Large Collections of Geospatial Data“ (GeoSearch)
- Summer school organizer: "High-Performance and Disruptive Computing in Remote Sensing"-2021 (HDCRS Working Group)
- Workshop organizer: 11th IAPR International Workshop on Pattern Recognition in Remote Sensing (PRRS 2020/2021)