Davide Rossetti

Dottorando in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 39^o ciclo (2023-2026)
Dipartimento di Elettronica e Telecomunicazioni (DET)

Reservoir Computing: Theory, Implementation and Algorithms

Electronic devices: modeling and characterization

Micro- and nanotechnologies, devices, systems and applications

Big Data, Machine Learning, Neural Networks and Data Science

Biomedical devices and applications

Rossetti, Davide; Corinto, Fernando (2026)
Device Variability and Uncertainty Propagation in Memristive Reservoir Computing. In: Modern Circuits and Systems Technologies (MOCAST)
Contributo in Atti di Convegno (Proceeding)
Ju Kim, Seung; Wang, Tong; Zhao, Ruoyu; Rossetti, Davide; Xu, Yichun; Zhao, Jian; ... (2026)
Diffusive memristors in the edge of chaos. In: NATURE COMMUNICATIONS, vol. 17. ISSN 2041-1723
Contributo su Rivista
Rossetti, D.; Nikiruy, K.; Demirkol, A. S.; Ascoli, A.; Ziegler, M.; Tetzlaff, R.; ... (2026)
A Dual-Branch Flux-Based Extended Memristor Model With Machine-Learning-Assisted Calibration. In: ADVANCED ELECTRONIC MATERIALS. ISSN 2199-160X
Contributo su Rivista
Xu, Yichun; Rossetti, Davide; Asapu, Shiva; Moon, Taehwan; Zhao, Jian; Zhao, Ruoyu; Ju ... (2026)
Volatile and Non‐Volatile Ferroelectric HZO for Low‐Power Reservoir Computing. In: ADVANCED MATERIALS TECHNOLOGIES. ISSN 2365-709X
Contributo su Rivista
Nikiruy, K.; Petrenyov, I.; Shkurmanov, A.; Ziegler, M.; Schneegaß, J.; Ivanov, T.; ... (2025)
An Adaptive Training Method for Memristive Next Generation Reservoir Computing Systems. In: Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
Contributo in Atti di Convegno (Proceeding)