Francesco Marrone

Dottorato in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 34^o ciclo (2018-2021)

Dottorato concluso nel 2022

Profilo

Argomento di ricerca

Modellistica compatta di sistemi memristivi

Interessi di ricerca

Big Data, Machine Learning, Neural Networks and Data Science

Electronic devices: modeling and characterization

Biografia

I graduated cum laude in Electronic Engineering in April 2018 at Politecnico di Torino. I am currently pursuing a PhD in Electrical, Electronics and Communications Engineering at the Department of Electronics and Telecommunications (DET) in Politecnico di Torino.
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.

Didattica

Insegnamenti

Corso di laurea di 1° livello

Elettrotecnica. A.A. 2019/20, INGEGNERIA INFORMATICA. Collaboratore del corso

MostraNascondi A.A. passati

Pubblicazioni

Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris

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 (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 (2022)
Memristor-based hardware accelerators: from device modeling to AI applications. relatore: CORINTO, FERNANDO; , 34. XXXIV Ciclo, P.: 149
Doctoral Thesis
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; 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)

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