Gianluca Milano

Adjunct lecturer/Adjunct instructor
Department of Control and Computer Engineering (DAUIN)

Brain-inspired computing and devices. A.A. 2025/26, NANOTECHNOLOGIES FOR ICTs (NANOTECNOLOGIE PER LE ICT). Collaboratore del corso

Davide Pilati. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39^th cycle, 2023-in progress)
Research subject: Unconventional computing with neuromorphic nanowire networks

Big Data, Machine Learning, Neural Networks and Data Science

Electronic devices: modeling and characterization

Micro- and nanotechnologies, devices, systems and applications

Big Data, Machine Learning, Neural Networks and Data Science

Electronic devices: modeling and characterization

Micro- and nanotechnologies, devices, systems and applications
Ivan De Carlo. Programme in Metrologia (37^th cycle, 2021-2025)
Thesis: Superconductivity in low-dimensional Nb nanostructures
Chiara Magosso. Programme in Metrologia (37^th cycle, 2021-2025)
Thesis: A digitalization framework enabling development and application of self-assembled materials
Giuseppe Leonetti. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36^th cycle, 2020-2024)
Thesis: Memristive devices based on NbOx

Micro- and nanotechnologies, devices, systems and applications

Micro- and nanotechnologies, devices, systems and applications

Micro- and nanotechnologies, devices, systems and applications

Bejtka, Katarzyna; Allione, Marco; Ricciardi, Carlo; Pirri, Candido; Milano, Gianluca (2026)
Real-Time TEM Observation of the Microstructural Evolution in Silver Nanowires under Heating and Electrical Biasing. In: ACS APPLIED ELECTRONIC MATERIALS, vol. 8, pp. 1156-1165. ISSN 2637-6113
Contributo su Rivista
Pilati, Davide; Ceni, Andrea; Michieletti, Fabio; Gallicchio, Claudio; Ricciardi, Carlo; ... (2026)
RCbench: a unified framework for benchmarking reservoir computing systems. In: NEUROMORPHIC COMPUTING AND ENGINEERING, vol. 6, pp. 1-16. ISSN 2634-4386
Contributo su Rivista
Pilati, Davide; Michieletti, Fabio; Cultrera, Alessandro; Ricciardi, Carlo; Milano, ... (2026)
A Multiterminal Setup for Complex Dynamics Characterization and Unconventional Computing in Self-Organizing Memristive Networks. In: 2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), Ancona (Ita), 22-24 October 2025, pp. 1236-1241
Contributo in Atti di Convegno (Proceeding)
Milano, Gianluca; Pilati, Davide; Michieletti, Fabio; Cultrera, Alessandro; Ricciardi, ... (2026)
Memristance and transmemristance in multiterminal memristive systems. In: SCIENTIFIC REPORTS, vol. 16. ISSN 2045-2322
Contributo su Rivista
Pistolesi, V; Ceni, A; Milano, G; Ricciardi, C; Gallicchio, C (2025)
A memristive computational neural network model for time-series processing. In: APL MACHINE LEARNING, vol. 3, pp. 1-14
Contributo su Rivista