Davide Piccinini

Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 39^th cycle (2023-2026)
Department of Electronics and Telecommunications (DET)

My work focuses on remote sensing applications and deployment of deep learning techniques.

Big Data, Machine Learning, Neural Networks and Data Science

Piccinini, Davide; Valsesia, Diego; Magli, Enrico (2025)
Towards Deep Line-Based Architectures for Onboard Hyperspectral Image Super-Resolution. In: IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane (Aus), 03-08 August 2025, pp. 6241-6245. ISBN: 979-8-3315-0810-4
Contributo in Atti di Convegno (Proceeding)
Piccinini, D.; Valsesia, D.; Magli, E. (2025)
Onboard Hyperspectral Super-Resolution with Deep Pushbroom Neural Network †. In: REMOTE SENSING, vol. 17. ISSN 2072-4292
Contributo su Rivista
Magli, E; Angarano, S.; Bassetti, S.; Bianchi, T.; Boccardo, P.; Bucci, S.; Chiaberge, ... (2024)
A multi-service edge-AI architecture based on self-supervised learning. In: 75th International Astronautical Congress, Milan (Ita), 14-18 October 2024, pp. 1-9
Contributo in Atti di Convegno (Proceeding)