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Fernando Corinto

Full Professor (L. 240)
Department of Electronics and Telecommunications (DET)

  • Member of Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory

Profile

Keywords

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

Biography

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.

Scientific branch

IIET-01/A - Electrical Engineering
(Area 0009 - Industrial and information engineering)

Research topics

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

Skills

ERC sectors

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

Non-commercial collaboration agreements

Teaching

Collegi of the degree programmes

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Research

Research groups

Research projects

Projects funded by competitive calls

Projects funded by commercial contracts

Supervised PhD students

  • Rosanna Cavazzana. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (40th cycle, 2024-in progress)
  • Davide Rossetti. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2023-in progress)
    Research subject: Reservoir Computing: Theory, Implementation and Algorithms
    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

Publications

Most cited publications View all publications in Porto@Iris

More publicationsLess publications

Knowledge Valorisation

Technology transfer