Fabrizio Ottati

PhD Student in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36th cycle (2020-2023)
Department of Electronics and Telecommunications (DET)

Docente esterno e/o collaboratore didattico
Department of Electronics and Telecommunications (DET)



Research topic

Efficient hardware architectures for brain-inspired computing


Research presentation


Research interests

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


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.



Master of Science

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