Giulio Meucci
Junior Researcher
Giulio Meucci is a Senior Research collaborator at the CNIT-RaSS National Laboratory since 2021. He holds a bachelor’s degree (2018) and a master’s degree (2021) in Telecommunication Engineering from the University of Pisa, with scores of 103/110 and 109/110, respectively. During his master’s thesis, Giulio focused on finding new approaches to the open set recognition problem in 2D radar applications.
Currently pursuing his PhD at the University of Pisa, Giulio’s research revolves around utilizing machine learning techniques for multi dimensional radar data. He specializes in Automatic Target Recognition (ATR) and radar imaging, with a particular emphasis on employing deep learning methods to enhance ATR performance for electromagnetic images. His work has addressed challenges in open set recognition and incremental learning, resulting in more reliable and adaptable ATR systems in dynamic environments.
Furthermore, Giulio’s contributions extend to 3D-InISAR classification, where he leveraged neural networks to obtain a versatile classifier capable of handling variable input elements for improved target classification in non-cooperative scenarios.
Publications
2023
LIME-Assisted Automatic Target Recognition with SAR Images: Toward Incremental Learning and Explainability Journal Article
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 9175-9192, 2023.
Incremental Learning in Synthetic Aperture Radar Images Using Openmax Algorithm Conference
vol. 2023-May, 2023.
Point Cloud Transformer (PCT) for 3D-InISAR Automatic Target Recognition Conference
vol. 2023-May, 2023, (3D-ISAR).
Credible Recognition of Radar Images: Interpretability Metric and Classification Score Conference
vol. 2023-July, 2023.
2022
Radar target recognition based on open set YOLO Journal Article
In: IET Conference Proceedings, vol. 2022, no 17, pp. 377-382, 2022.