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Personale

Fernando Corinto

Professore Ordinario (L.240)
Dipartimento di Elettronica e Telecomunicazioni (DET)

  • Componente Centro Interdipartimentale SmartData@PoliTO - Big Data and Data Science Laboratory

Profilo

Keywords

Artificial neural networks
Chaotic oscillator
Circuit analysis and modelling
Memristive device
Memristors
Nonlinear analysis

Biografia

Fernando Corinto is a Full Professor of Electrical Engineering at the Department of Electronics and Telecommunications of Politecnico di Torino, Italy. He received his Master’s Degree in Electronic Engineering in 2001 and his Ph.D. in Electronics and Communications Engineering in 2005, together with a European Doctorate Certification, all from Politecnico di Torino. His research focuses on nonlinear dynamical circuits and systems, cognitive neural networks and artificial intelligence, and memristor nanotechnology, where he has made significant contributions to both theoretical foundations and technological innovation. Prof. Corinto is the author of four books, ten book chapters, and more than 190 peer‑reviewed publications, and he holds three patents that demonstrate the impact and applicability of his research. A Senior Member of IEEE since 2010, he has served in several leadership roles within the Circuits and Systems community, including Chair of the IEEE CAS Technical Committee on Cellular Nanoscale Networks and Array Computing and Vice‑Chair of the IEEE North Italy CAS Chapter. He has also contributed as Associate Editor of IEEE Transactions on Circuits and Systems I and as Editorial Board Member of the International Journal of Circuit Theory and Applications. His international engagement includes prestigious visiting positions such as DRESDEN Senior Fellow at TU Dresden and August‑Wilhelm Scheer Visiting Professor at TU München, where he is affiliated with the Institute for Advanced Study. His scientific impact has been recognized globally, including his inclusion in Stanford University’s 2024 “World’s Top 2% Scientists” list.

Settore scientifico disciplinare

IIET-01/A - Elettrotecnica
(Area 0009 - Ingegneria industriale e dell'informazione)

Linee di ricerca

  • nonlinear dynamical circuits and systems, complex/neural networks and memristor nanotechnology for optimization problems

Competenze

Settori ERC

PE7_11 - Components and systems for applications (in e.g. medicine, biology, environment)
PE1_10 - ODE and dynamical systems
PE7_3 - Simulation engineering and modelling

SDG

Goal 4: Quality education
Goal 9: Industry, Innovation, and Infrastructure

Accordi collaborativi non commerciali

Didattica

Collegi dei Corsi di Studio

Insegnamenti

Corso di laurea magistrale

MostraNascondi A.A. passati

Corso di laurea di 1° livello

MostraNascondi A.A. passati

Ricerca

Gruppi di ricerca

Progetti di ricerca

Progetti finanziati da bandi competitivi

Progetti finanziati da contratti commerciali

Dottorandi

  • Rosanna Cavazzana. Corso in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (40o ciclo, 2024-in corso)
  • Davide Rossetti. Corso in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39o ciclo, 2023-in corso)
    Big Data, Machine Learning, Neural Networks and Data Science
    Biomedical devices and applications
    Electronic devices: modeling and characterization
    Micro- and nanotechnologies, devices, systems and applications

Pubblicazioni

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Valorizzazione delle conoscenze

Trasferimento tecnologico