Risultati di ricerca
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Gabriela Mystkowska, Luca Zulberti, Matteo Monopoli, et al. Flexible Precision Vector Extension for Energy Efficient Coarse-Grained Reconfigurable Array AI-Engine. TechRxiv. October 02, 2024.
(pre-print on TechRxiv, will be published soon) The rapid development of Artificial Intelligence (AI) algorithms has created a need for a resource-optimised hardware accelerator. Among various platforms, Coarse-Grained Reconfigurable Array (CGRA) have...
https://phd.dii.unipi.it/pubblicazioni/item/6567-g-mystkowska-l-zulberti-dsd-vector-cgra.html -
S. Troia, L. Borgianni, G. Sguotti, S. Giordano, G. Maier : “A Comprehensive Survey on Software-Defined Wide Area Network”, IEEE Communications Surveys & Tutorials, 2025
The rise of Software-Defined Wide Area Network (SD-WAN) a decade ago has ushered in a new era of networking opportunities for organizations worldwide. As enterprises undergo digital transformation fueled by cloud computing adoption and the imperative...
https://phd.dii.unipi.it/publications/item/6566-s-troia,-l-borgianni,-g-sguotti,-s-giordano,-g-maier-“a-comprehensive-survey-on-software-defined-wide-area-network”,-ieee-communications-surveys-tutorials,-2025.html -
Md A. Rahman, T. M. Berhe, L. Borgianni, Md S. Ahmed, C. Bua, D. Adami, S. Giordano: “A Scala-ble Framework for Deploying AI-Powered Wildlife Monitoring in Resource-Limited Field Environ-ments”, IEEE Access, 2025
Wildlife monitoring in remote field environments presents significant challenges owing to energy constraints, limited network connectivity, and the need for real-time processing. This study proposes a scalable framework that integrates artificial...
https://phd.dii.unipi.it/publications/item/6565-md-a-rahman,-t-m-berhe,-l-borgianni,-md-s-ahmed,-c-bua,-d-adami,-s-giordano-“a-scala-ble-framework-for-deploying-ai-powered-wildlife-monitoring-in-resource-limited-field-environ-ments”,-ieee-access,-2025.html -
Borgianni, L., Ahmed, M.S., Adami, D. and Giordano, S., 2023, October. Spectrogram Based Bee Sound Analysis with DNNs: a step toward Federated Learning approach. In 2023 4th International Symposium on the Internet of Sounds (pp. 1-8). IEEE.
The decline in global bee populations significantly threatens biodiversity and food production. Monitoring beehives are crucial for understanding colony health and behavior. In this paper, we propose an analysis of different beekeeping approaches by...
https://phd.dii.unipi.it/pubblicazioni/item/6557-borgianni,-l-,-ahmed,-m-s-,-adami,-d-and-giordano,-s-,-2023,-october-spectrogram-based-bee-sound-analysis-with-dnns-a-step-toward-federated-learning-approach-in-2023-4th-international-symposium-on-the-internet-of-sounds-pp-1-8-ieee.html -
Borgianni L, Adami D, Giordano S, Pagano M. Enhancing Reliability in Rural Networks Using a Software-Defined Wide Area Network. Computers. 2024; 13(5):113. https://doi.org/10.3390/computers1305011
Due to limited infrastructure and remote locations, rural areas often need help providing reliable and high-quality network connectivity. We propose an innovative approach that leverages Software-Defined Wide Area Network (SD-WAN) architecture to...
https://phd.dii.unipi.it/pubblicazioni/item/6558-borgianni-l,-adami-d,-giordano-s,-pagano-m-enhancing-reliability-in-rural-networks-using-a-software-defined-wide-area-network-computers-2024-13-5-113-https-doi-org-10-3390-computers1305011.html -
Borgianni, L., Giordano, S. and Chafe. C., 2024, December. Democratizing Networked Music Performance with a RL-based SD-WAN, IEEE Communications Magazine
Networked Music Performance (NMP) has increased its spread in the musician community because of its capability to connect players who are not physically together. However, NMP relies on stringent requirements, such as low latency, which can be...
https://phd.dii.unipi.it/pubblicazioni/item/6559-borgianni,-l-,-giordano,-s-and-chafe-c-,-2024,-december-democratizing-networked-music-performance-with-a-rl-based-sd-wan,-ieee-communications-magazine.html -
L. Borgianni, S. Troia, D. Adami, G. Maier and S. Giordano, "Assessing the Efficacy of Reinforcement Learning in Enhancing Quality of Service in SD-WANs," GLOBECOM 2023 - 2023 IEEE Global Communications Conference
The continuous growth of advanced services integrating processing, storage, real-time data exchange, and transmission capacities highlights the importance of Quality of Service (QoS) and Quality of Experience (QoE). In particular, it is very relevant...
https://phd.dii.unipi.it/pubblicazioni/item/6560-l-borgianni,-s-troia,-d-adami,-g-maier-and-s-giordano,-assessing-the-efficacy-of-reinforcement-learning-in-enhancing-quality-of-service-in-sd-wans,-globecom-2023-2023-ieee-global-communications-conference.html -
Borgianni, L., Adami, D. and Giordano, S., 2024, October. Quantum Networking for Secure and Reliable Communication in Space Exploration, IEEE Communications Magazine
In the coming years, space missions will increasingly require communication systems capable of ensuring high-performance, safe, and reliable data transmission between ground stations and spacecraft. Since, in this future scenario, classical...
https://phd.dii.unipi.it/pubblicazioni/item/6561-borgianni,-l-,-adami,-d-and-giordano,-s-,-2024,-october-quantum-networking-for-secure-and-reliable-communication-in-space-exploration,-ieee-communications-magazine.html -
L. Borgianni, C. Bua, S. Ghadir, D. Ghadir, D. Adami, e S. Giordano, "Enhancing Wildlife Monitoring in Variable Network Coverage Areas with Deep RL-based SD-WANs," in *Proc. IEEE CAMAD 2024*.
The interactions between humans and wildlife are crucial and necessitate innovative solutions to mitigate potential conflicts. The regions involved often suffer from inconsistent and limited network coverage, which is essential for real-time...
https://phd.dii.unipi.it/pubblicazioni/item/6562-l-borgianni,-c-bua,-s-ghadir,-d-ghadir,-d-adami,-e-s-giordano,-enhancing-wildlife-monitoring-in-variable-network-coverage-areas-with-deep-rl-based-sd-wans,-in-proc-ieee-camad-2024.html -
L. Borgianni, M. Ottella, R. Heer, J. Montiel-Nelson, D. P. Pau, R. Proietti, J. Schotter and M. Tar-vainen: "Towards a made-in-Europe ecosystem for multisport training, healthy lifestyle and remote patient monitoring based on cloud-edge continuum o
title: Towards a made-in-Europe ecosystem for multisport training, healthy lifestyle and remote patient monitoring based on cloud-edge continuum of AI-featured body sensors Abstract: In the contemporary landscape of healthcare and fitness, the...
https://phd.dii.unipi.it/publications/item/6563-m-ottella,-l-borgianni,-r-heer,-j-montiel-nelson,-d-p-pau,-r-proietti,-j-schotter-and-m-tar-vainen-towards-a-made-in-europe-ecosystem-for-multisport-training,-healthy-lifestyle-and-re-mote-patient-monitoring-based-on-cloud-edge-continuum-o.html -
M. Dadà, L. Zulberti, P. Nannipieri, L. Fanucci and S. Moranti, "Inference and Evaluation of Deep Convolutional Neural Networks on Microchip’s Hardware Accelerator VectorBlox," 2023 European Data Handling & Data Processing Conference (EDHPC), Juan Le
The exponential growth of artificial intelligence in recent years has created new opportunities across various industries, including the space sector. The increasing significance of CNNs has played a pivotal role in shaping modern AI advancements. As...
https://phd.dii.unipi.it/pubblicazioni/item/6555-m-dada-l-zulberti-edhpc-vectorblox.html -
L. Zulberti, M. Monopoli, P. Nannipieri, L. Fanucci and S. Moranti, "Highly Parameterised CGRA Architecture for Design Space Exploration of Machine Learning Applications Onboard Satellites," 2023 European Data Handling & Data Processing Conference (E
The adoption of Machine Learning solutions directly onboard in satellite missions is becoming more and more attractive for the space sector. Among the various kinds of hardware accelerators, ranging from highly efficient yet inflexible COTS to more...
https://phd.dii.unipi.it/pubblicazioni/item/6554-l-zulberti-m-monopoli-edhpc-cgra.html -
M. Monopoli, L. Zulberti, P. Nannipieri, L. Fanucci and S. Moranti, "Exploring Key Aspects of Soft GPGPU Computing for On-board Acceleration of Artificial Intelligence Algorithms in Space Applications," 2023 European Data Handling & Data Processing C
Artificial Intelligence has gained widespread adoption across different industrial sectors, serving as a versatile tool to carry out a diverse array of tasks, ranging from image classification and traffic forecasting to natural language processing and...
https://phd.dii.unipi.it/pubblicazioni/item/6553-m-monopoli-l-zulberti-hpdc-soft-gpgpu.html -
Duvert, O., Pagnanelli, G., Moscatelli, A., & Bianchi, M. (2024, April). On the role of tactile motion estimates and hand side in bimanual reaching tasks. In 2024 IEEE Haptics Symposium (HAPTICS) (pp. 47-52). IEEE.
Research on hand-reaching is of great interest due to the intricate integration of sensory inputs from the musculoskeletal system, skin, and motor command models. Recently, we developed an unimanual reaching task where participants were asked to slide...
https://phd.dii.unipi.it/pubblicazioni/item/6548-duvert,-o-,-pagnanelli,-g-,-moscatelli,-a-,-bianchi,-m-2024,-april-on-the-role-of-tactile-motion-estimates-and-hand-side-in-bimanual-reaching-tasks-in-2024-ieee-haptics-symposium-haptics-pp-47-52-ieee.html -
Pagnanelli, G., Pierallini, M., Angelini, F., & Bicchi, A. (2024). Assessing An Energy-Based Control for the Soft Inverted Pendulum in Hamiltonian Form. IEEE Control Systems Letters.
Thanks to their continuously deformable structure, continuum soft robots are suited for safe human-robot interactions. However, the executable tasks are still limited in complexity due to the high number of degrees of freedom, and the consequent...
https://phd.dii.unipi.it/pubblicazioni/item/6547-pagnanelli,-g-,-pierallini,-m-,-angelini,-f-,-bicchi,-a-2024-assessing-an-energy-based-control-for-the-soft-inverted-pendulum-in-hamiltonian-form-ieee-control-systems-letters.html -
Fani, S., Ciotti, S., Pagnanelli, G., Moscatelli, A., De Pra, Y., & Bianchi, M. (2023). Modulating the Perceived Softness of Real Objects Through Wearable Haptics. IEEE transactions on haptics, 16(4), 543-548.
In vision, Augmented Reality (AR) allows the superposition of digital content on real-world visual information, relying on the well-established See-through paradigm. In the haptic domain, a putative Feel-through wearable device should allow to modify...
https://phd.dii.unipi.it/pubblicazioni/item/6545-fani,-s-,-ciotti,-s-,-pagnanelli,-g-,-moscatelli,-a-,-de-pra,-y-,-bianchi,-m-2023-modulating-the-perceived-softness-of-real-objects-through-wearable-haptics-ieee-transactions-on-haptics,-16-4-,-543-548.html -
Pagnanelli, G., Ciotti, S., Lepora, N., Bicchi, A., & Bianchi, M. (2023). Model-based compliance discrimination via soft tactile optical sensing and optical flow computation: A biomimetic approach. IEEE Robotics and Automation Letters.
Soft tactile optical sensors have opened up new possibilities for endowing artificial robotic hands with advanced touch-related properties; however, their use for compliance discrimination has been poorly investigated and mainly relies on data-driven...
https://phd.dii.unipi.it/pubblicazioni/item/6541-pagnanelli,-g-,-ciotti,-s-,-lepora,-n-,-bicchi,-a-,-bianchi,-m-2023-model-based-compliance-discrimination-via-soft-tactile-optical-sensing-and-optical-flow-computation-a-biomimetic-approach-ieee-robotics-and-automation-letters.html -
A. Le Caldare, L. Leonardi, S. Miano, G. Procissi, G. Antichi, G. Lettieri: "Rethinking Cloud Net-work Stacks with Switch Bypass", IEEE HPSR, Pisa, Italy, July 2024
Virtual switches are one of the most important building blocks in public cloud network stacks as they apply high-level policies to traffic enabling communication between virtual machines (VMs) and the rest of the world. The problem is that virtual...
https://phd.dii.unipi.it/pubblicazioni/item/6534-a-le-caldare,-l-leonardi,-s-miano,-g-procissi,-g-antichi,-g-lettieri-rethinking-cloud-net-work-stacks-with-switch-bypass-,-ieee-hpsr,-pisa,-italy,-july-2024.html -
F. Storniolo, L. Leonardi, G. Lettieri: "Improving live migration efficiency in QEMU: An eBPF-based paravirtualized approach" Journal of Systems Architecture 2024
Virtual Machines are the key technology in cloud computing. In order to upgrade, repair or service the physical machine where a Virtual Machine is hosted, a common practice is to live-migrate the Virtual Machine to a different server. This involves...
https://phd.dii.unipi.it/pubblicazioni/item/6533-improving-live-migration-efficiency-in-qemu-an-ebpf-based-paravirtualized-approach.html -
G. Coro, L. Pavirani, A. Ellenbroek: "Extracting Mediterranean Hidden Fishing Hotspots Through Big Data Mining." IEEE Access 12 (2024): 85465-85483.
Abstract: Monitoring fishing activity is crucial for fisheries management and governments to ensure regulatory compliance and sustainable marine ecosystems. Analysing vessel movements provides insights into fishing dynamics, aiding decision-making....
https://phd.dii.unipi.it/pubblicazioni/item/6532-g-coro,-l-pavirani,-a-ellenbroek-extracting-mediterranean-hidden-fishing-hotspots-through-big-data-mining-ieee-access-12-2024-85465-85483.html
News
- A due dottorandi del DII il riconoscimento Young Scientist Award dell’International Union of Radio Science (URSI)
- PhD @ Nanyang Technical University (NTU) & University of Pisa (UniPi)
- Visiting students and scholars mobility agreement with the Academy of Advanced Interdisciplinary Research, Xidian, Xi'an, P.R. China
- Agreement for Double Degree Program with Beihang University, Beijing, P.R. China
PhD Course News
- Prof. Matteo Bianchi, Department of Information Engineering, University of Pisa, "Tactile Sensors for Robotics and Advanced Human Machine Interaction", 14,16,17,18 September 2026
- Prof. Daniele Inserra, University of Electronic Science and Technology of China - China, "Battery-free intelligent systems: RFID, wireless power, and smart sensing", 27-29 July 2026
- Prof. Bhavani Shankar MYSORE, University of Luxembourg, "Signal Processing for Joint Radar Communications", 13-16 July 2026
- Prof. Matteo Bianchi, Department of Information Engineering, University of Pisa, "Bilateral Telerobotics: Challenges, Perspectives and Applications", 27-30 July 2026
- Prof. Jian-Nong Cao, Hong Kong Polytechnic University, "Collaborative Edge AI and Applications", 6-10 July 2026
