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Elenco Pubblicazioni - Publications (1570)

Antonelli, G., Biondi, A., Caiti, A., Chiaverini, S., Costanzi, R., Di Lillo, P., ... & Munafò, A. (2026). Towards a multi-robot architecture for bearing-only tracking of underwater acoustic sources using vector sensors. Ocean Engineering, 353, 12471

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This paper presents a multi-vehicle distributed system for the real-time estimation of the position of an underwater acoustic source, based on Direction of Arrival (DOA) observations obtained through onboard Acoustic Vector Sensors (AVSs) mounted on…
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Kumar, Vinay, Claudio Cicconetti, Riccardo Bassoli, Marco Conti, and Andrea Passarella. "Instruction-Set Architecture for Programmable NV-Center Quantum Repeater Nodes." arXiv preprint arXiv:2602.14995 (2026).

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Abstract—Programmability is increasingly central in emerging quantum network software stacks, yet the node-internal controller-to-hardware interface for quantum repeater devices remains under-specified. We introduce the idea of an instruction-set architecture (ISA) for controller driven programmability of…
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L. Ciacchini et al., "Enabling the Hardware Acceleration of Residual Layers within the FPG-AI Framework for Space Applications", 2025 European Data Handling & Data Processing Conference, Elche, Spain

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L. Ciacchini, T. Bocchi, T. Pacini, P. Nannipieri, L. Fanucci   Abstract: Artificial Intelligence, particularly Convolutional Neural Networks (CNNs), plays a key role in satellite image processing, enabling tasks such as object detection, classification, and…
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P. Usai, G. Sabatini, D. Brizi and A. Monorchio, "Optically Transparent Frequency Selective Surfaces for Electromagnetic Shielding in Cybersecurity Applications", Applied Sciences, vol. 16, no. 2, 821, January 2026

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Abstract: With the widespread diffusion of personal Internet of Things (IoT) devices, Electromagnetic Side-Channel Attacks (EM-SCAs), which exploit electromagnetic emissions to uncover critical data such as cryptographic keys, are becoming extremely common. Existing shielding approaches…
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E. Giusti, P. Usai, D. Brizi and A. Monorchio, "Smart Absorbing Material Positioning for Bistatic RCS Reduction: A Reinforcement Learning Approach," 2025 IEEE International Symposium on Antennas and Propagation

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Abstract: Fully covering a metallic target with a radar absorbing material is the most effective way to reduce its radar signature although not always practically viable especially for large surfaces. Conversely, randomly positioning radarabsorbing materials on…
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