Raffaello Camoriano
Assistant Professor (Rtda, Asn) @Politecnico Di Torino
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WORK HISTORY
Assistant Professor (Rtda, Asn) @Politecnico Di Torino
Turin, IT
Abilitazione Scientifica Nazionale in Sistemi di Elaborazione delle Informazioni, II fascia.Dipartimento di Automatica e Informatica (DAUIN)Vandal Laboratory · AI Hub @ PoliTo · ELLIS Unit TurinInsegnamento- Fundamentals of Artificial Intelligence, Machine and Deep Learning (M. Sc. in Data Science and Engineering)- Algorithms and Programming (B. Sc. in Electronic And Communications Engineering)
EDUCATION
Università degli Studi di Genova
Doctor of Philosophy (PhD), Machine Learning for Perception and Classification in Robotics
Istituto Superiore di Studi in Tecnologie dell’Informazione e della Comunicazione (ISICT)
Percorso di eccellenza per le lauree triennali in ambito ICT
Università degli Studi di Genova
Master's Degree, Robotics Engineering
Università degli Studi di Genova
Laurea Triennale, Ingegneria Informatica
Istituto di Studi Superiori dell'Università di Genova (ISICT-ISSUGE)
Percorso di eccellenza per le lauree magistrali dell'Università di Genova, ICT - Indirizzo di Eccellenza in Information and Communication Technologies
MIT & Harvard University, USA - Center for Brains, Minds & Machines
Brains, Minds & Machines Summer School
SKILLS
ABOUT RAFFAELLO CAMORIANO
My research interests lie at the intersection between the Science and the Engineering of artificial learning systems.In particular, my work is chiefly focused on devising theoretically-grounded Machine Learning methods capable of scaling up to large datasets, adapting to changing conditions in time, and efficiently interacting with their environments to learn efficiently while leveraging the underlying structure of data.I also find Robotics to be a rich source of ‒and a particularly well-suited testing platform for‒ challenging open research problems, often calling for the development of novel Machine Learning methods. My work in this direction mainly spans visual object recognition and detection, system identification, and locomotion control.
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