
Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 39th cycle (2023-2026)
Department of Applied Science and Technology (DISAT)
Docente esterno e/o collaboratore didattico
Department of Electronics and Telecommunications (DET)
Profile
PhD
Research topic
Unconventional computing with neuromorphic nanowire networks
Tutors
- Carlo Ricciardi
- Gianluca Milano
Research interests
Biography
For his thesis, Davide developed and implemented a novel code to adapt a custom-designed electronic measurement board for use with nanowire networks. The heart of his thesis involved the multielectrode characterization of nanowire networks, revealing asymmetrical turn-on paths and tentative turn-ons. These findings provided new insights into the behavior of these networks and opened up avenues for further research.
One of Davide's most notable contributions to the field is the setup development for multielectrode characterization of these complex networks, which can be exploited for studying the emergent behavior of the system, as well as performing complex computational tasks.
As he looks towards his PhD, Davide is driven by ambitious goals. He aims to explore the potential of memristive nanowire networks further, with the hope of integrating this technology into systems for accelerated computation. Additionally, he is curious about the potential to exploit network nonlinearities to simplify computing architectures, potentially bypassing the need for a readout layer.
Teaching
Teachings
Master of Science
- Workshop "Hacking and exploiting a professional MEMS kit interfaced with Arduino board". A.A. 2024/25, NANOTECHNOLOGIES FOR ICTs (NANOTECNOLOGIE PER LE ICT). Collaboratore del corso
Research
Other activities and projects related to research
The main objective of the PhD work is the experimental implementation of unconventional computing paradigms and neuromorphic functionalities in multiterminal devices based on memristive nanowire networks.The aim is the development of a hardware computing architectures able to solve a wide range of computing tasks such as pattern recognition and time series prediction with reduced training cost and energy consumption.
Publications
Latest publications View all publications in Porto@Iris
- Pilati, Davide; Michieletti, Fabio; Cultrera, Alessandro; Ricciardi, Carlo; Milano, ... (2024)
Emerging Spatiotemporal Dynamics in Multiterminal Neuromorphic Nanowire Networks Through Conductance Matrices and Voltage Maps. In: ADVANCED ELECTRONIC MATERIALS. ISSN 2199-160X
Contributo su Rivista