Fabrizio Ottati

Docente esterno e/o collaboratore didattico
Dipartimento di Elettronica e Telecomunicazioni (DET)

Dottorando in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36o cycle (2020-2023)
Dipartimento di Elettronica e Telecomunicazioni (DET)

Profilo

Dottorato di ricerca

Argomento di ricerca

Efficient hardware architectures for brain-inspired computing

Tutori

Research presentation

Poster

Interessi di ricerca

Big Data, Machine Learning, Neural Networks and Data Science
Micro- and nanotechnologies, devices, systems and applications
VLSI theory, design and applications

Biografia

Fabrizio Ottati received the Bachelor of Science (2017) and Master of Science (2020) degrees in Electronic Engineering at Politecnico di Torino, where he has joined the doctoral program in Electrical, Electronics and Communications Engineering, in 2020.
His main research activities focus on innovative digital architectures for the brain-inspired computing paradigm. In particular, he is interested in the Hyperdimensional Computing, Spiking Neural Networks, silicon retinas and neuromorphic computing. He is deeply involved with the open-source neuromorphic community, collaborating with researchers from all over the world and maintaining many open-source projects.

Didattica

Insegnamenti

Corso di laurea magistrale

MostraNascondi A.A. passati

Pubblicazioni

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