
Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 39th cycle (2023-2026)
Department of Electronics and Telecommunications (DET)
Profile
PhD
Research topic
Bringing change detection on board satellites for low-latency damage assessment
Tutors
Research interests
Biography
I am currently doing a PhD in Deep Learning, result of a joint project between the Politecnico di Torino and the European Space Agency. The goal of the project is to create an efficient deep learning model that is capable of running on board a satellite to perform change detection tasks with low latency. Although my research and work experience is mainly on satellite imagery, I am passionate about Artificial Intelligence in general and enjoy working on any kind of data, with a particular flair for computer vision.
Publications
Latest publications View all publications in Porto@Iris
- Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico; Fiengo, Aniello (2024)
A new architecture for onboard change detection based on deep learning. In: 9th International Workshop on On-Board Payload Data Compression, Las Palmas De Gran Canaria (Esp), 2-4 October 2024
Contributo in Atti di Convegno (Proceeding) - Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico (2024)
Multitask AI for onboard intelligence in Earth observation missions. In: 2024 Small Satellites Systems and Services Symposium, Palma de Mallorca (Esp), 27-31 May 2024
Contributo in Atti di Convegno (Proceeding) - 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) - Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico (2024)
Efficient Onboard Multitask AI Architecture Based on Self-Supervised Learning. In: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, vol. 18, pp. 828-838. ISSN 1939-1404
Contributo su Rivista - Inzerillo, G; Valsesia, D; Magli, E; Niro, F; De Grandis, E (2023)
Proba-V Multi-Temporal Super-Resolution Guided by Sentinel-2. In: 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena (USA), 16-21 July, 2023, pp. 5139-5142. ISBN: 979-8-3503-2010-7
Contributo in Atti di Convegno (Proceeding)