Francesco Mancuso

Francesco Mancuso

Researcher

0500801558
LinkedIn

Francesco Mancuso (Graduate Student Member, IEEE) is a PhD student in Information Engineering at the University of Pisa, Pisa, Italy. He received the Bachelor’s and Master’s (cum laude) Degrees in Telecommunication Engineering at the University of Pisa, in 2017 and 2021, respectively. Alongside his doctoral studies, Francesco actively collaborates with the Radar and Surveillance Systems (RaSS) National Laboratory. His current research interests include radar imaging, radar interferometry and radar polarimetry. While finishing his Master’s he worked for a company as R&D Engineer, focusing on signal processing applied to Structure Health Monitoring (SHM).

Publications

2023

Kumar, A. Giusti, E. Mancuso, F. Ghio, S. Lupidi, A. Martorella, M.

Three-Dimensional Polarimetric InISAR Imaging of Non-Cooperative Targets Journal Article

In: IEEE Transactions on Computational Imaging, vol. 9, pp. 210-223, 2023, (3D-ISAR).

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Meucci, G. Mancuso, F. Giusti, E. Kumar, A. Ghio, S. Martorella, M.

Point Cloud Transformer (PCT) for 3D-InISAR Automatic Target Recognition Conference

vol. 2023-May, 2023, (3D-ISAR).

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Meucci, G. Karahoda, B. Oveis, A. H. Mancuso, F. Jajaga, E. Cantelli-Forti, A.

Naval Cybersecurity in the Age of AI: deceptive ISAR Images Generation with GANs Conference

2023.

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2022

Giusti, E. Kumar, A. Mancuso, F. Ghio, S. Martorella, M.

Fully polarimetric multi-aspect 3D InISAR Conference

vol. 2022-September, 2022, (3D-ISAR).

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Kumar, A. Giusti, E. Mancuso, F. Martorella, M.

Polarimetric Interferometric ISAR Based 3-D Imaging of Non-Cooperative Target Conference

vol. 2022-July, 2022, (3D-ISAR).

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Mancuso, F. Giusti, E. Martorella, M.

Polarimetric Three-Dimensional ISAR Imaging Conference

2022, (3D-ISAR).

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Mancuso, F. Giusti, E. Kumar, A. Ghio, S. Martorella, M.

Comparative assessment of polarimetric features estimation in fully polarimetric 3D-ISAR imaging system Journal Article

In: IET Conference Proceedings, vol. 2022, no 17, pp. 353-358, 2022, (3D-ISAR).

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