Research Projects

Horizon Europe NANCY (scientific coordinator of the research unit)

2023-2025, NANCY (An Artificial Intelligent Aided Unified Network for Secure Beyond 5G Long Term Evolution), HORIZON-JU-SNS-2022-STREAM-A-01-06 - Trustworthy and Reliable End-to-end connectivity Software platforms, Grant agreement ID: 101096456, https://nancy-project.eu.

The project, funded by  the European Commission under the Horizon Eourope Programme, is led by the University of Western Macedonia (GR) and the consortium comprises 21 partners, including Italtel, Thales France, Ericsson. NANCY aims at developing a secure and intelligent architecture for the beyond the fifth generation (B5G) wireless network, leveraging AI and blockchain to enabl secure and intelligent resource management, flexible networking and orchestration.

A. Pietrabissa is the scientific co-coordinator of the research unit, working on the architecture design of the communications system and on the development and implementation of management and control algorithms based on AI methodologies.

MIMIT CADUCEO (scientific coordinator of the research unit)

2021-2023, CADUCEO (Cloud platform for intelligent prevention and diagnosis supported by artificial intelligence solutions), Grant agreement ID: F/180025/02/X43.

The project, funded by the Ministry of Enterprises and Made in Italy under the enabling technology "Information and Communication Technologies (ICT)", is led by NEXERA (IT) and the consortium comprises 5 partners, including Bambino Gesù Pediatric Hospital and TIM. The project objective is to design and develop a cloud platform for the realization of medical applications for the prevention, diagnosis, and prognosis of diseases, integrating Artificial Intelligence solutions with reference to three diseases: Eosinophilic Esophagitis, Chronic Inflammatory Bowel Diseases, and Portal Hypertension.

A. Pietrabissa is the scientific co-coordinator of the research unit, working on the architecture design and on the development and implementation of the AI solutions.

POR FESR FedMedAI (scientific coordinator of the project and of the research unit)

2021-2023, FedMedAI (Elaborazione di dati clinici con metodologie di intelligenza artificiale per strutture sanitarie federate nel rispetto del GDPR), POR FESR Lazio 2014 – 2020 (Azione 1.2.1),  Prot. n. A0375-2020-36491 del 23/10/2020, sites.google.com/diag.uniroma1.it/fedmedai/home.

The project, funded by Regione Lazio, led by the Dept. Computer, Automation and Management Eng. of Sapienza, aims to create a platform for distributed learning for the development of Artificial Intelligence (AI) systems for the biomedical sector. The consortium also includes the Istituto Superiore di Sanità. The distributed aspect of learning will allow a group (or "federation") of health facilities to collaborate in the creation of an AI without the exchange of clinical data. The methodological innovations in the field of "Federated Learning" will be demonstrated on problems of real biomedical interest, such as the diagnostics of COVID19 starting from chest scans and the localization of tumors/anomalies in images. The developed product will allow the use of pre-existing databases from an AI perspective and compatible with the GDPR regulations.

A. Pietrabissa is the coordinator of the project and  the scientific co-coordinator of the research unit, which has the task of developing and validating Federated Learning algorithms for eHeath applications.

EU-H2020 5G-ALLSTAR (scientific coordinator of the project and of the research unit)

2018-2021, 5G-ALLSTAR (5G AgiLe and fLexible integration of SaTellite And cellulaR), H2020.EUK2018 (Eu-Korea) (RIA), grant agreement no. 815323, https://5g-allstar.eu/.

The project is co-funded by Europe and South Korea. The European part, funded by the European Commission under the H2020 Programme is led by CEA (Commissariat à l'énergie atomique et aux énergies alternatives, FR), whereas the Korean part is led by ETRI (Electronics and Telecommunications Research Institute). The project aims to develop a hybrid satellite-terrestrial 5G communications system and to demonstrate its operation by carrying out 5G transmissions between Europe and South Korea.

A. Pietrabissa is the scientific coordinator of the entire EU project and scientific co-coordinator of the research unit, working on the architecture design of the communications system and on the development and implementation of management and control algorithms for multi-link communications.

EU-H2020 SESAME (scientific coordinator of the research unit)

2019-2022, SESAME (Smart European Space Access thru Modern Exploitation of Data Science), H2020-EU.2.6.2.1 – Enabling European competitiveness, non-dependence and innovation of the European space sector (RIA), grant agreement no. 821875, https://sesame-space.eu/.

The project, funded by the European Commission under the H2020 Programme and led by ArianeGroup SAS (FR), aims to provide the European space launcher industry with a digital, open, intelligent, secure and standards-based platform that allows engineers and operators to develop and manage the operations of the launchers.

A. Pietrabissa is the scientific co-coordinator of the research unit, which has the task of defining and developing adaptive algorithms for the management of operations at the launch site.

ESA ARIES (project manager and scientific coordinator of the research unit)

2020-2021, ARIES (Advanced multi-Rat Integrated multi-sensors solution for Emergency prevention, detection and response operationS), ESA-OPPORTUNITY 5G for L’ ART, grant agreement no. 4000133127/20/NL/AF, https://business.esa.int/projects/aries.

The project, funded by the European Space Agency, led by  CRAT (IT) and in collaborato with Telespazio (IT), aims to provide an efficient service for prevention, monitoring and management of emergencies (fires, landslides) via the combined use of satellites, 5G Network, HAPS and next generation of IoT sensor networks and Drones.

A. Pietrabissa is the overall project manager and the scientific co-coordinator of the research unit, which has the task of defining and developing control algorithms for emergency prevention and management of operations.

EU-H2020 ATENA (scientific coordinator of the research unit)

2016-2019, ATENA (Advanced Tools to assEss and mitigate the criticality of ICT compoNents and their dependencies over Critical InfrAstructures), H2020-EU.3.7. – Secure Societies, Innovation Action (RI), grant agreement no. 700581, https://www.atena-h2020.eu/.

The project, funded by the European Commission under the H2020 Programme and led by Leonardo S.p.A. (IT), aimed at applying the advanced features of ICT and cyber-security to selected use cases of critical infrastructures, including energy and water distribution networks.

A. Pietrabissa the scientific coordinator of the research unit, which had the task of designing the system architecture and analyzing the safety of a distribution network from the point of view of the structural properties of the dynamic system model.

EU-H2020 Bonvoyage (scientific coordinator of the research unit)

2015-2018, Bonvoyage (From Bilbao to Oslo, intermodal mobility solutions and interfaces for people and goods, supported by an innovative communication network), EU H2020-MG, Research and Innovation Action, grant agreement no. 635867, _http://bonvoyage2020.eu/.

The project, funded by the European Commission under the H2020 Programme and led by CNIT (IT), has designed, developed and verified a service platform to optimize the multi-modal transport of passengers and goods that integrates travel information, planning and ticketing services by automatically analyzing: non-real-time data from heterogeneous databases (on roads, railways and urban transport systems), data measured in real-time (traffic, weather forecasts); user Profiles; user feedback.

A. Pietrabissa was the scientific coordinator of the research unit, whose role was focused on the following issues: definition of the system architecture, multi-modal routing, clustering, ranking and personalization of travel solutions.

EU-FP7 T-NOVA (scientific coordinator of the research unit)

2013-2016, T-NOVA (Network Functions as-a-Service over Virtualised Infrastructures), EU FP7-ICT Large-scale Integrating Project (IP), grant agreement no. 619520, http://www.t-nova.eu/.

The project, funded by the European Commission under the H2020 Programme and led by Demokritos (Greece), dealt with Network Functions Virtualisation (NFV), that is the problem of the migration of hardware functions to virtualized IT infrastructures, where they are developed as software components. The goal of T-NOVA is to design and implement an automatic management platform for the configuration, monitoring and management of virtualized IT infrastructure resources.

A. Pietrabissa was the scientific coordinator of the research unit, which, in the project, defined the system architecture and developed cloud network resource management algorithms.

EU-FP7 SWIPE (scientific coordinator of the research unit)

2013-2015, SWIPE (Space WIreless sensor networks for Planetary Exploration), EU FP7-SPA Small or medium-scale focused research project (STREP), grant agreement no. 312826, https://sites.google.com/a/tekever.com/swipe/.

The project, funded by the European Commission under the H2020 Programme and led by Tekever (Portugal), designed and implemented a hybrid network consisting of a sensor network and a satellite link for monitoring planetary surfaces. SWIPE defined the mission scenarios - with particular reference to the case study, the monitoring of the lunar surface -, designed the sensors and data fusion algorithms for the measurements and designed the network in terms of communications between sensors, between sensors and satellites, between satellites and the earth.

A. Pietrabissa was the scientific coordinator of the research unit, which defined the system architecture and developed routing algorithms in the sensor network, explicitly considering the presence of satellite links.

MIUR-FILAS DAAS (National, scientific coordinator of the project and of the research unit)

2013-2015, DAAS (Data Analyzer & Acquisition System), FILAS Co-research POR FESR 2007/2013, contratto FILAS-CR-20111372.

The objective of the project, funded by Regione Lazio, was the design of a hardware and software system for monitoring and analyzing the parameters characterizing electronic systems in high explosive risk areas, such as areas near oil wells. The project developed a data acquisition and analysis system by means of a BlueTooth LE sensor network, whose load must be balanced in order to avoid emission peaks. The development of the DAAS system is mainly linked to the needs of monitoring the operating parameters and the health and safety of the operators.

Antonio Pietrabissa was the scientific responsible of the research unit and held the role of project manager with responsibility for the operational management for the planning, evaluation and implementation of the project, the supervision of the technical deliverables, the organization of the dissemination.