Risultati di ricerca
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L., Pavirani, M., Scotti, L., MacNeil, and G., Coro: "Unsupervised ecosystem risk assessment in the Baltic Sea reveals bottom-oxygen depletion and fishing pressure as key threats in species-abundant hotspots", Scientific Reports. 2026
Abstract: Marine ecosystems are increasingly shaped by the combined effects of multiple environmental and anthropogenic stressors, generating non-linear, spatially heterogeneous patterns of risks to ecosystem functioning. The Baltic Sea represents a...
https://phd.dii.unipi.it/publications/item/7874-l-,-pavirani,-m-,-scotti,-l-,-macneil,-and-g-,-coro-unsupervised-ecosystem-risk-assessment-in-the-baltic-sea-reveals-bottom-oxygen-depletion-and-fishing-pressure-as-key-threats-in-species-abundant-hotspots-,-scientific-reports-2026.html -
G. Procissi, F. Carloni, A. Tulumello, L. Giovannoni, G. Lettieri, G. Antichi, G. Bianchi: "One Network Function, Many Acceleration Layers: The APEC Developer Workflow"
**Conference:** IEEE International Conference on Cloud Networking (CloudNet 2026) **Status:** Accepted
https://phd.dii.unipi.it/publications/item/7873-g-procissi,-f-carloni,-a-tulumello,-l-giovannoni,-g-lettieri,-g-antichi,-g-bianchi-one-network-function,-many-acceleration-layers-the-apec-developer-workflow.html -
L. Giovannoni, G. Lettieri, G. Procissi: "Lanebag: Dynamic Producer Queues for High-Performance Data Planes" (CloudNet 2026)
Abstract: Network data planes often rely on single-owner resource management: a receive or service thread owns packet buffers, descriptors, or other datapath state, while multiple worker threads temporarily use them and later return ownership. In this...
https://phd.dii.unipi.it/publications/item/7872-l-giovannoni,-g-lettieri,-g-procissi-lanebag-dynamic-producer-queues-for-high-performance-data-planes-cloudnet-2026.html -
L. Giovannoni, G. Lettieri, G. Procissi: "Runtime Type-Based Access Control for eBPF", 2025 IEEE Conference on Network Function Virtualization and Software-Defined Networking (NFV-SDN), Athens, Greece, 10–12 November 2025, pp. 1–6. DOI: 10.1109/NFV-S
Abstract: Extended Berkeley Packet Filter (eBPF) enables flexible execution of programs within the Linux kernel, but unrestricted access to kernel data structures may introduce security risks when executing untrusted code. This paper presents Runtime...
https://phd.dii.unipi.it/publications/item/7871-l-giovannoni,-g-lettieri,-g-procissi-runtime-type-based-access-control-for-ebpf-,-2025-ieee-conference-on-network-function-virtualization-and-software-defined-networking-nfv-sdn-,-athens,-greece,-10–12-november-2025,-pp-1–6-doi-10-1109-nfv-s.html -
"Beyond the Spirometer: Predicting FEV1 from Digital Mobility Indices in COPD" IEEE MetroXRAINE 2026 – International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, Chemnitz, Germany, October 20–22, 2026
Abstact: Chronic Obstructive Pulmonary Disease (COPD) requires continuous monitoring to support early detection of respiratory deterioration and personalized disease management. Although Forced Expiratory Volume in one second (FEV1) is a key indicator...
https://phd.dii.unipi.it/publications/item/7865-beyond-the-spirometer-predicting-fev1-from-digital-mobility-indices-in-copd-ieee-metroxraine-2026-–-international-conference-on-metrology-for-extended-reality,-artificial-intelligence-and-neural-engineering,-chemnitz,-germany,-october-20–22,-2026.html -
G. Soriano, N. Tonellotto, A. Gotta: "Packet-Level Guardianship in 6G via Future-Informed Distillation of Predictive Models", Proc. IEEE INFOCOM 2026 Workshops, pp. 1-6, 2026
Abstract: AI-native 6G networks require packet-level intelligence capable of identifying anomalous behaviors before they escalate into system-level degradations. However, current solutions either rely on offline PCAP modeling or on KPI-driven analytics...
https://phd.dii.unipi.it/publications/item/7864-g-soriano,-n-tonellotto,-a-gotta-packet-level-guardianship-in-6g-via-future-informed-distillation-of-predictive-models-,-proc-ieee-infocom-2026-workshops,-pp-1-6,-2026.html -
P. Nannipieri, L. Zulberti, T. Pacini, M. Monopoli, T. Bocchi, and L. Fanucci, “Edge AI acceleration for critical systems: From FPGA hardware to CGRA technology,” in Charting the Intelligence Frontiers–Edge AI Systems Nexus. River Publishers, 2026.
Abstract: This work discusses advancements in edge AI processing for critical systems, focusing on satellites. We explore hardware solutions for real-time and autonomous data processing using Field Programmable Gate Arrays (FPGAs) and Coarse-Grained...
https://phd.dii.unipi.it/pubblicazioni/item/7863-p-nannipieri,-l-zulberti,-t-pacini,-m-monopoli,-t-bocchi,-and-l-fanucci,-“edge-ai-acceleration-for-critical-systems-from-fpga-hardware-to-cgra-technology,”-in-charting-the-intelligence-frontiers–edge-ai-systems-nexus-river-publishers,-2026.html -
T. Bocchi, T. Pacini, P. Nannipieri, S. Moranti, L. Fanucci, “Extending the FPG-AI Framework for Automatic DNN Acceleration on NanoXplore FPGAs”, SEFUW SpacE FPGA User Workshop, Noordwijk, The Netherlands, 2025
Poster abstract: In recent years, the space community has shown a growing interest in the use of AI onboard satellites. FPGAs have emerged as competitive accelerators for these algorithms in the space harsh environment, and methods for automating their...
https://phd.dii.unipi.it/pubblicazioni/item/7862-t-bocchi,-t-pacini,-p-nannipieri,-s-moranti,-l-fanucci,-“extending-the-fpg-ai-framework-for-automatic-dnn-acceleration-on-nanoxplore-fpgas”,-sefuw-space-fpga-user-workshop,-noordwijk,-the-netherlands,-2025.html -
T. Bocchi, A. Monorchio, G. Mystkowska, P. Nannipieri and L. Fanucci, "CGR-AI IP Core Prototyping on FPGA for AI Inference Onboard Satellites"
Poster presented at: 2025 21st International Summer School on Advanced Computer Architecture and Compilation for High-performance Embedded Systems (ACACES), Fiuggi, FR, Italy, 2025, pp. 5-8, ISBN: 9789078427070
https://phd.dii.unipi.it/pubblicazioni/item/7860-t-bocchi,-a-monorchio,-g-mystkowska,-p-nannipieri-and-l-fanucci,-cgr-ai-ip-core-prototyping-on-fpga-for-ai-inference-onboard-satellites.html -
M. Baldaccini, T. Bocchi, L. Ciacchini at al., “From Residual-Layer Support to ResNet-like Deployment in the FPG-AI Framework”, 2026 International Conference on Applications in Electronics Pervading Industry, Environment and Society (APPLEPIES), 2026
Abstract: Convolutional neural networks (CNNs) are widely used for visual recognition tasks, including image classification, object detection, medical imaging, and remote sensing. Their deployment on edge devices increasingly relies on FPGAs, which...
https://phd.dii.unipi.it/pubblicazioni/item/7859-m-baldaccini,-t-bocchi,-l-ciacchini-at-al-,-“from-residual-layer-support-to-resnet-like-deployment-in-the-fpg-ai-framework”,-2026-international-conference-on-applications-in-electronics-pervading-industry,-environment-and-society-applepies-,-2026.html -
A. Monorchio, T. Bocchi, T. Pacini, P. Nannipieri, and L. Fanucci, “FPG-AI: Automation Toolflow for Efficient Deployment of Pre-Trained CNN/RNN Models on FPGA Technology”
Poster presented at: Twenty-first International Summer School on Advanced Computer Architecture and Compilation for High-performance Embedded Systems (ACACES), Fiuggi (FR), Italy, July 2025, pp. 13-16 ISBN: 9789078427070.
https://phd.dii.unipi.it/pubblicazioni/item/7858-a-monorchio,-t-bocchi,-t-pacini,-p-nannipieri,-and-l-fanucci,-“fpg-ai-automation-toolflow-for-efficient-deployment-of-pre-trained-cnn-rnn-models-on-fpga-technology”.html -
"A Machine Learning Approach for Sleep Apnea Detection Using Unobtrusive In-Bed Sensors" IEEE SMARTCOMP 2026 – International Conference on Smart Computing, Messina, Italy, June 22–25, 2026
Abstract: Sleep apnea (SA) is a prevalent breathing disorder whose diagnosis still relies on polysomnography (PSG), motivating the development of unobtrusive in-bed sensing technologies as scalable alternatives. In this study, we present a machine...
https://phd.dii.unipi.it/publications/item/7861-a-machine-learning-approach-for-sleep-apnea-detection-using-unobtrusive-in-bed-sensors-ieee-smartcomp-2026-–-international-conference-on-smart-computing,-messina,-italy,-june-22–25,-2026.html -
A. Monorchio, T. Bocchi, P. Nannipieri, and L. Fanucci, "Design and Implementation of a RISC-V-based FPGA SoC for CNN Acceleration Using the FPG-AI Framework", 2026 21st Conference on Ph.D. Research in Microelectronics and Electronics (PRIME), 2026
Abstract: Field Programmable Gate Arrays have emerged as an effective solution for deploying Neural Networks thanks to their energy efficiency and reconfigurability, particularly for on the edge Convolutional Neural Network applications with strict...
https://phd.dii.unipi.it/pubblicazioni/item/7855-a-monorchio,-t-bocchi,-p-nannipieri,-and-l-fanucci,-design-and-implementation-of-a-risc-v-based-fpga-soc-for-cnn-acceleration-using-the-fpg-ai-framework-,-2026-21st-conference-on-ph-d-research-in-microelectronics-and-electronics-prime-,-2026.html -
L. Zulberti, M. Monopoli, G. Mystkowska, A. Monorchio, S. Moranti, L. Fanucci, and P. Nannipieri, "CGR-AI Engine: A Scalable CGRA-based Processing Platform for Artificial Intelligence in Space Applications", Microprocessors and Microsystems, vol. 122
Abstract: The execution of processing tasks in space is a cornerstone of modern space missions, enabling a wide range of critical applications. In recent years, the integration of Artificial Intelligence (AI) within the space industry has gained...
https://phd.dii.unipi.it/pubblicazioni/item/7854-l-zulberti,-m-monopoli,-g-mystkowska,-a-monorchio,-s-moranti,-l-fanucci,-and-p-nannipieri,-cgr-ai-engine-a-scalable-cgra-based-processing-platform-for-artificial-intelligence-in-space-applications-,-microprocessors-and-microsystems,-vol-122.html -
T. Bocchi et al., "Pioneering AI Acceleration on European Space Qualified Hardware: Implementation and Characterization of a DNN on NanoXplore FPGA," in IEEE Aerospace and Electronic Systems Magazine,2026.
Abstract: This article presents a practical design case study describing the first successful implementation of an artificial intelligence (AI) algorithm on a NanoXplore radiation-hardened field programmable gate array (FPGA), the first fully European...
https://phd.dii.unipi.it/pubblicazioni/item/7856-t-bocchi-et-al-,-pioneering-ai-acceleration-on-european-space-qualified-hardware-implementation-and-characterization-of-a-dnn-on-nanoxplore-fpga,-in-ieee-aerospace-and-electronic-systems-magazine,2026.html -
"AISAFETY: An AI-based smart system for enhancing operator safety in production processes", Safety Science, July 2026, Article 107201, Volume 199.
Abstract The forthcoming EU Machinery Regulation represents a significant evolution in industrial safety by enabling the use of Artificial Intelligence (AI) and autonomous technologies for safety-related functions in collaborative human–machine...
https://phd.dii.unipi.it/publications/item/7851-aisafety-an-ai-based-smart-system-for-enhancing-operator-safety-in-production-processes.html -
"On-premises Natural Language Access to Incident Knowledge Graphs: An Industrial Experience Report", Accepted at ITADATA 2026, 10-12 November 2026, Bari (IT).
Abstract Police incident reports describe connected facts about events, people, objects, locations, and legal references. Analysts may need to identify relations between entities distributed across multiple reports, a task for which manual inspection...
https://phd.dii.unipi.it/publications/item/7850-on-premises-natural-language-access-to-incident-knowledge-graphs-an-industrial-experience-report-,-accepted-at-itadata-2026,-10-12-november-2026,-bari-it.html -
"Near-Real-Time AI Assistance for Swiss Ambulance Emergency-Call Handling: An Industrial Pilot", accepted at ITADATA 2026, 10-12 November 2026, Bari (BA)
Abstract -- Ambulance emergency-call handling requires call takers to identify the emergency and record critical details under severe time pressure. In German-speaking Switzerland, this is complicated by the gap between spoken Swiss German...
https://phd.dii.unipi.it/publications/item/7848-near-real-time-ai-assistance-for-swiss-ambulance-emergency-call-handling-an-industrial-pilot-,-itadata-2026,-10-12-november-2026,-bari-ba.html -
"Adaptive Interpretable Multilingual Threat Analysis via Structured LLM-Based Representations of Texts", Proc EAIS 2026, Pisa (PI)
Abstract -- Analyst-oriented systems for detecting threats in multilingual text must provide, besides accurate predictions, auditability and the capacity to improve as more training data becomes available. We propose a two-stage pipeline in which a...
https://phd.dii.unipi.it/publications/item/7847-adaptive-interpretable-multilingual-threat-analysis-via-structured-llm-based-representations-of-texts-,-proc-eais-2026,-pisa-pi.html -
F. Pezzuti: "LLMs as Search Engine Components and Users: Infrastructural Adaptations to a Dual Transformation", Proc. SIGIR, 2026
Large Language Models (LLMs) are inducing a dual transformation in search engines: an internal transformation of search architectures and an external transformation of search traffic dynamics. As part of the internal transformation, LLMs are integrated...
https://phd.dii.unipi.it/publications/item/7846-f-pezzuti-llms-as-search-engine-components-and-users-infrastructural-adaptations-to-a-dual-transformation-,-proc-sigir,-2026.html
News
- Premio di Laurea "Franco Maria Montevecchi" del Politecnico di Torino a Marco Raffo
- Avviso: calendario, scadenze e procedure per gli esami di fine anno dei dottorandi - Schedule, deadlines, and procedures for PhD students' end-of-year exams
- 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)
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
