Simone Scardapane is an Assistant Professor in the Department of Information Engineering, Electronics and Telecommunications in Sapienza University of Rome. His research is focused on cutting edge deep learning, including graph neural networks, edge machine learning, continual learning, and audio processing.
He is an active member of several committees and societies, including the IEEE CIS Social Media Sub-Committee, the IEEE CIS Conference Activities and Communications Subcommitee, the IEEE Task Force on Reservoir Computing, the "Machine learning in geodesy” joint study group of the International Association of Geodesy, and the Statistical Pattern Recognition Techniques TC of the International Association for Pattern Recognition (of which he is vice-chair). He is (or has been) co-chair of different international conferences (including multiple editions of the IEEE IJCCNN and IEEE WCCI), special issues, and special sessions in international journals.
In 2020, he received a "Google Faculty Award to Support Machine Learning Courses, Diversity, and Inclusion" for the course "Neural Networks for Data Science Applications".
He participates or leads multiple research and industrial projects: he is co-investigator of the the project MUCCA (CHIST-ERA), member of the project HY3DA (Sapienza Progetti di Ricerca Grandi), member of the In Codice Ratio project (lead by University Roma Tre), and scientific supervisor of 4 active industrial projects.
Finally, he is strongly involved in promoting machine learning in Italy, by chairing of a no-profit association (the Italian Association for Machine Learning), the organization of a local Meetup and a podcast, and participation as guest or writer in several technical conferences and national publications.