
Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 34th cycle (2018-2021)
Ph.D. obtained in 2022
Dissertation:
Memristor-based hardware accelerators: from device modeling to AI applications (Abstract)
Tutors:
Fernando Corinto
Research presentation:
Video presentationProfile
Research topic
Compact modeling of memristive systems
Research interests
Biography
My research focuses on the compact modelling of novel nanometric memory storage devices and their application to treat the simulation of large scale programmable dynamical neural networks.
Teaching
Teachings
Bachelor of Science
- Elettrotecnica. A.A. 2019/20, INGEGNERIA INFORMATICA. Collaboratore del corso
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- Marrone, Francesco; Zoppo, Gianluca; Corinto, Fernando; Gilli, Marco (2022)
A dynamic system approach to spiking second order memristor networks. In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS, vol. 69, pp. 1641-1654. ISSN 1549-8328
Contributo su Rivista - Marrone, Francesco; Secco, Jacopo; Kersting, Benedikt; Le Gallo, Manuel; Corinto, ... (2022)
Experimental validation of state equations and dynamic route maps for phase change memristive devices. In: SCIENTIFIC REPORTS, vol. 12, pp. 1-10. ISSN 2045-2322
Contributo su Rivista - Zoppo, G; Marrone, F; Bonnin, M; Corinto, F (2022)
Computing with Memristor-based Nonlinear Oscillators. In: 2022 IEEE 22nd International Conference on Nanotechnology (NANO), Palma de Mallorca, Spain, 04-08 July 2022, pp. 401-404. ISSN 1944-9399. ISBN: 978-1-6654-5225-0
Contributo in Atti di Convegno (Proceeding) - Marrone, Francesco (2022)
Memristor-based hardware accelerators: from device modeling to AI applications. relatore: CORINTO, FERNANDO; , 34. XXXIV Ciclo, P.: 149
Doctoral Thesis - Zoppo, Gianluca; Marrone, Francesco; Bonnin, Michele; Corinto, Fernando (2022)
Equilibrium Propagation and (Memristor-based) Oscillatory Neural Networks. In: 2022 IEEE International Symposium on Circuits and Systems (ISCAS), Austin, TX, USA, 27 May 2022 - 01 June 2022, pp. 639-643
Contributo in Atti di Convegno (Proceeding) - Marrone, Francesco; Zoppo, Gianluca; Corinto, Fernando; Gilli, Marco (2021)
A dynamic system approach to spiking memristor network investigation. In: 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), East Lansing - Michigan (USA), 9-11 Agosto, 2021, pp. 1116-1119. ISBN: 1665424621
Contributo in Atti di Convegno (Proceeding) - Zoppo, Gianluca; Marrone, Francesco; Corinto, Fernando (2020)
Equilibrium Propagation for Memristor-Based Recurrent Neural Networks. In: FRONTIERS IN NEUROSCIENCE, vol. 14. ISSN 1662-453X
Contributo su Rivista - Zoppo, Gianluca; Marrone, Francesco; Pittarello, Monica; Farina, Marco; Uberti, Alberto; ... (2020)
AI technology for remote clinical assessment and monitoring. In: JOURNAL OF WOUND CARE, vol. 29, pp. 692-706. ISSN 0969-0700
Contributo su Rivista - Zoppo, G.; Marrone, F.; Corinto, F. (2019)
A continuous-time learning rule for memristor-based recurrent neural networks. In: 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019, Genova, 2019, pp. 494-497. ISBN: 978-1-7281-0996-1
Contributo in Atti di Convegno (Proceeding)