Σωτήρης Ιωαννίδης

Green.Dat.AI

Energy-efficient AI-ready Data Spaces

Χρηματοδότηση: Ευρωπαϊκή Επιτροπή Ε.Ε.
Κωδικός Έργου: Green.Dat.AI
Πρόγραμμα: HORIZON-CL4-2021-DATA-01-03
Προϋπολογισμός: 316875 € (Συνολικός: 6730687.5 €)
Ημερομηνία Έναρξης: 1η Ιανουαρίου 2023
Διάρκεια: 36 μήνες
Website(s):

Πληροφορίες

Σύντομη Περιγραφή

GREEN.DAT.AI aims to channel the potential of AI towards the goals of the European Green Deal, by developing novel Energy-Efficient Large-Scale Data Analytics Services, ready-to-use in industrial AI-based systems, while reducing the environmental impact of data management processes.

GREEN.DAT.AI will demonstrate the efficiencies of the new analytics services in four industries (Smart Energy, Smart Agriculture/Agri-food, Smart Mobility, Smart Banking) and six different application scenarios, leveraging the use of European Data Spaces. The ambition is to exploit mature (TRL5 or higher) solutions already developed in recent H2020 projects and deliver an efficient, massively distributed, open-source, green, AI/FL – ready platform, and a validated go-to-market TRL7/8 Toolbox for AI-ready Data Spaces. The services will cover AI-enabled data enrichment, Incentive mechanisms for Data Sharing, Synthetic Data Generation, Large-scale learning at the Edge/Fog, Federated & Auto ML at the edge/fog, Explainable AI/Feature Learning with Privacy Preservation, Federated & Automatic Transfer Learning, Adaptive FL for Digital Twin Applications, Automated IoT event-based change detection/forecasting.

The GREEN.DAT.AI Consortium consists of a multidisciplinary group of 17 partners from 10 different countries (and one associated party), well balanced in terms of expertise. The vast majority of partners already have key roles in a number of projects funded under the Big Data PPP (ICT-16-2017) topic, namely BigDataStack, CLASS, Track & Know, and I-BiDaaS and are serving as active members of the BDVA/DAIRO Association, FIWARE, AIOTI, and ETSI. In addition, partners come from a variety of sectors, such as banking, mobility, energy, and agriculture, constituting a representative workforce of their respective domains, which will contribute to industry adoption and stimulate uptake in other sectors as well.

Εταίροι

INLECOM INNOVATION ASTIKI MI KERDOSKOPIKI ETAIREIA – Greece
UNIVERSITY OF PIRAEUS RESEARCH CENTER – GReece
CONSIGLIO NAZIONALE DELLE RICERCHE- Italy
KONNECTA SYSTEMS LIMITED – Ireland
ATOS IT SOLUTIONS AND SERVICES IBERIA SL – Spain
Telecommunication Systems Institute – Greece
ITC – INOVACIJSKO TEHNOLOSKI GROZD MURSKA SOBOTA – Slovenia
CAIXABANK SA – Spain
UNIVERZA V MARIBORU – Slovenia
FERROVIAL SERVICIOS SA – Spain
AEGIS IT RESEARCH GMBH – Germany
RED HAT ISRAEL LTD – Israel
INESC TEC – INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA – Portugal
Waboost razvoj tehnologij d.o.o. – Slovenia
CNET CENTRE FOR NEW ENERGY TECHNOLOGIES SA – Portugal
INTRASOFT INTERNATIONAL SA – Luxembourg
SUNESIS, inovativne tehnologije in storitve,d.o.o. – Slovenia
SPHYNX TECHNOLOGY SOLUTIONS AG – Switzerland

SecOPERA

2 Οκτωβρίου, 2022

SecOPERA

Secure OPen source softwarE and hardwaRe Adaptable framework

Χρηματοδότηση: Ευρωπαϊκή Επιτροπή Ε.Ε.
Κωδικός Έργου: SecOPERA
Πρόγραμμα: HORIZON-CL3-2021-CS-01-02
Προϋπολογισμός: 448750 € (Συνολικός: 4581135 €)
Ημερομηνία Έναρξης: 1η Ιανουαρίου 2023
Διάρκεια: 36 μήνες
Website(s):

Πληροφορίες

Σύντομη Περιγραφή

Security of open-source solutions in the business interconnected market (especially in IoT where a single product may include components from various Tier 1 or OEM manufacturers) is hard to assure. OEM SW/HW developers that employ open-source solutions must assume that any component provided by 3rd parties needs to be reassessed for security as there is not holistic security auditing/testing process to cover the full production line. The plethora of open-source HW/SW solutions on devices with constrained resources and no trusted environments leads to a considerably expanded threat landscape. The restricted execution environment reduces bootstrapping new devices in an IoT network and deploying/patching them securely; and the full DevSecOps of connected device open-source HW/SW must be reformulated offering security guarantees on the usage of open-source solutions. SecOPERA will provide a one stop hub for complex OSS/OSH solutions offering to designers, implementers, operators and open-source HW/SW developers the means to analyse, assess, secure/harden and share open-source solutions as these are integrated in an overall complex product within a networked connected environment. SecOPERA provides a framework supporting the open source DevSecOps lifecycle that comprises (i) a decomposition and security audit/testing engine that analyses open source solutions (OSS/OSH) (ii) an adaptation engine that debloats OSS/OSH code to remove unrelated open-source code and reduce the code attack surface; and a security enhancement process to harden the OSS/OSH solution (iii) an updating/patching mechanism so that the SecOPERA open-source
flows remain secure even if their open-source code starting points are vulnerable. On top of that, SecOPERA hub provides (iv) an open-source repository for secure modules that is used in the security enhancement mechanism of open-source solutions; and (v) an open-source repository of security hardened OSS/OSH solutions and their security guarantees

Εταίροι

Telecommunication Systems Institute – Greece
AEGIS IT RESEARCH GMBH – Germany
ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS – Greece
UNIVERSITY OF CYPRUS – Cyprus
SECURITY LABS CONSULTING LIMITED – Ireland
ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS – RESEARCH CENTER – Greece
KTM INNOVATION GMBH – Austria
THALES SIX GTS FRANCE SAS – France
COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES – France
IOTAM INTERNET OF THINGS APPLICATIONS AND MULTI LAYER DEVELOPMENT LTD – Cyprus
VOGL SIMON – Austria
SPHYNX TECHNOLOGY SOLUTIONS AG – Switzerland
Greencityzen – France

Other Projects

All 15 /Εθνικά Έργα 0 /Έργα Ε.Ε. 0 /Ιδιωτικά Έργα 0

SENTINEL

Bridging the security, privacy and data protection gap for smaller enterprises in Europe

OPTIMA

Optimizing Industrial Applications for Heterogeneous HPC systems

EnerMAN

ENERgy-efficient manufacturing system MANagement

AERAS

A CybEr range tRaining platform for medicAl organisations and systems Security

EMERALDS

2 Οκτωβρίου, 2022

EMERALDS

Extreme-scale Urban Mobility Data Analytics as a Service

Χρηματοδότηση: Ευρωπαϊκή Επιτροπή Ε.Ε.
Κωδικός Έργου: EMERALDS
Πρόγραμμα: HORIZON-CL4-2022-DATA-01-05
Προϋπολογισμός: 306875 € (Συνολικός: 4998937.5 €)
Ημερομηνία Έναρξης: 1η Ιανουαρίου 2023
Διάρκεια: 36 μήνες
Website(s):

Πληροφορίες

Σύντομη Περιγραφή

EMERALDS’s vision is to design, develop and create an urban data-oriented Mobility Analytics as a Service (MAaaS) toolset, consisting of the socalled ‘emeralds’ services, compiled in a proof-of-concept prototype, capable of exploiting the untapped potential of extreme urban mobility data.

The toolset will enable the stakeholders of the urban mobility ecosystem to collect and manage ubiquitous spatio-temporal data of high-volume, high-velocity and of high-variety, analyse them both in online and offline settings, import them to real-time responsive AI/ML algorithms and visualize results in interactive dashboards, whilst implementing privacy preservation techniques at all data modalities and at all levels of its architecture.

The toolset will offer advanced capabilities in data mining (searching and processing) of large amounts and varieties of urban mobility
data and its efficiency will be assessed, validated and demonstrated in three TRL5 pilot use cases (by following a co-development approach with mobility and city stakeholders to improve decision making in urban smart city environments), and deployed/showcased in two early adopters’ datadriven TRL6 applications (by integrating the new services to existing systems to improve commercial offerings).

Εταίροι

INLECOM INNOVATION ASTIKI MI KERDOSKOPIKI ETAIREIA – Greece
AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBH – Austria
TRUST-IT SRL – Italy
COMMPLA SRL – Italy
UNIVERSITY OF PIRAEUS RESEARCH CENTER – Greece
ATOS IT SOLUTIONS AND SERVICES IBERIA SL Spain
UNIVERSITE LIBRE DE BRUXELLES – Belgium
PTV PLANUNG TRANSPORT VERKEHR GmbH – Germany
SISTEMA – SOLUZIONI PER L INGEGNERIA DEI SISTEMA DI TRASPORTO E L INFOMOBILITA SRL – Italy
Telecommunication Systems Institute – Greece
SIA “Grupa93” – Latvia
CARTO GEOGRAPHIC INFORMATION SYSTEM SOCIEDAD LIMITADA – Spain
TECHNISCHE UNIVERSITEIT DELFT – Netherlands
ARANE ADVISEURS IN VERKEER EN VERVOER BV – Netherlands
KONNECTA SYSTEMS LIMITED – Ireland
Argaleo B.V. – Netherlands
Riga municipality limited liability company “Rigas satiksme” – Latvia
CITY OF YORK COUNCIL – United Kingdom
GEMEENTE UTRECHT – Netherlands
GEMEENTE DEN HAAG – Netherlands

Other Projects

All 15 /Εθνικά Έργα 0 /Έργα Ε.Ε. 0 /Ιδιωτικά Έργα 0

SENTINEL

Bridging the security, privacy and data protection gap for smaller enterprises in Europe

OPTIMA

Optimizing Industrial Applications for Heterogeneous HPC systems

EnerMAN

ENERgy-efficient manufacturing system MANagement

AERAS

A CybEr range tRaining platform for medicAl organisations and systems Security

EDGELESS

1 Οκτωβρίου, 2022

EDGELESS

Cognitive edge-cloud with serverless computing

Χρηματοδότηση: Ευρωπαϊκή Επιτροπή Ε.Ε.
Κωδικός Έργου: EDGELESS
Πρόγραμμα: HORIZON-CL4-2022-DATA-01-02
Προϋπολογισμός: 306250 € (Συνολικός: 5427137.5 €)
Ημερομηνία Έναρξης: 1η Ιανουαρίου 2023
Διάρκεια: 36 μήνες
Website(s):

Πληροφορίες

Σύντομη Περιγραφή

EDGELESS is set to efficiently operate serverless computing in extremely diverse computing environments from resource-constrained edge devices to highly-virtualised cloud platforms. By taking advantage of AI/ML solutions, it will enable automatic deployment and reconfiguration to fully exploit compute resources available on clusters of nearby edge nodes. EDGELESS will define novel orchestration systems that provide a flexible horizontally scalable compute solution able to fully use heterogeneous edge resources, while preserving vertical integration with the cloud and the benefits of serverless, including its application programming model. It will address edge systems at design stage, particularly targeting low-latency, high-reliability applications with computationally-intensive tasks, requiring specialised hardware or a trusted environment. This ambitious challenge will be met via distributed computing solutions to partition the edge environment in clusters, each managed as a local decentralised serverless platform. In each cluster, orchestration and scheduling of jobs will run smoothly thanks to real-time monitoring of shortterm load/network/energy conditions and anticipatory AI-powered algorithms to manage lightweight virtualised lambda executors, e.g., unikernels.

Environmental sustainability will be boosted by dynamically concentrating resources physically (e.g., by temporarily switching off far-edge devices) or logically (e.g., by dispatching tasks towards a specific set of nodes), at the expense of performance-tolerant applications. Clusters will cooperate with each other and with all the layers in the edge-cloud continuum to compose complex applications on-demand through a FaaS paradigm. EDGELESS innovations will be validated through testbeds (near-edge MEC and two small-device lab setups), integrated through a federated edge-cloud infrastructure, and three pilots: Autonomous Smart City Surveillance, Internet of Robotic Things, and HealthCare Assistants.

Εταίροι

WORLDLINE IBERIA SA – Spain
Telecommunication Systems Institute – Greece
CONSIGLIO NAZIONALE DELLE RICERCHE – Italy
ATOS IT SOLUTIONS AND SERVICES IBERIA SL – Spain
HEWLETT PACKARD ITALIANA SRL – Italy
HEWLETT-PACKARD CUSTOMER DELIVERY SERVICES ITALIA SRL – Italy
UBIWHERE LDA – Portugal
SIEMENS AKTIENGESELLSCHAFT – Germany
TELEFONICA INVESTIGACION Y DESARROLLO SA – Spain
FUNDACIO EURECAT – Spain
TECHNISCHE UNIVERSITAET MUENCHEN – Germany
INFINEON TECHNOLOGIES AG – Germany
AEGIS IT RESEARCH GMBH – Germany
THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE – United Kingdom

Other Projects

All 15 /Εθνικά Έργα 0 /Έργα Ε.Ε. 0 /Ιδιωτικά Έργα 0

SENTINEL

Bridging the security, privacy and data protection gap for smaller enterprises in Europe

OPTIMA

Optimizing Industrial Applications for Heterogeneous HPC systems

EnerMAN

ENERgy-efficient manufacturing system MANagement

AERAS

A CybEr range tRaining platform for medicAl organisations and systems Security

CLIMOS

18 Ιουνίου, 2022

CLIMOS

Climate Monitoring and Decision Support Framework for Sand Fly-Borne Diseases Detection and Mitigation with Cost-Benefit and Climate-Policy Measures

Χρηματοδότηση: Ευρωπαϊκή Επιτροπή Ε.Ε.
Κωδικός Έργου: CLIMOS
Πρόγραμμα: Horizon 2020 (H2020-HLTH-2021-ENVHLTH-02)
Προϋπολογισμός: 255312.50 € (Συνολικός: 9038530.50 €)
Ημερομηνία Έναρξης: 1η Σεπτεμβρίου 2022
Διάρκεια: 36 μήνες
Website(s):

More Info

Σύντομη Περιγραφή

CLIMOS aims to assist mitigation of climate- and climate change-induced emergence, transmission and spread of vector-borne and zoonotic pathogens based on Eco-health and One Health approaches. This will be achieved by quantifying climate and environmental-related drivers of sand fly vector populations and the sand fly-borne diseases (SFBDs) across Europe. The project will provide an Early Warning System (EWS) and decision support frameworks for more accurate climate and health modelling, prognosis of infection risk and range expansions, and adaptation options. Socio-economic analysis and risk assessments will inform decision support providing social and cost-benefit evaluations. Towards these goals, an open access interactive CLIMOS online platform will be developed containing data on vector and SFBD species geography and up-to-date monitoring, climate, environment, and mathematical algorithms. The accompanying educational platform will enable evidence-based mitigation decision-making by social, environmental and financial stakeholders, public bodies and policy makers. CLIMOS will generate science-based predictions, actions and policy-relevant recommendations to mitigate climate change-induced emergence and spread of SFBDs, by providing: precision vector and infection surveillance methods and networks across 10 countries; creation of big data time series (on vectors, disease, micro and macroclimate, environment and health, and on infection risk) to be available also for use at the EU Climate and Health Observatory, and as European Commission ISA JoinUP open-source tool for public and healthcare; new interoperability data ontologies (Open Biological and Biomedical Ontology [OBO] and Open Geospatial Consortium [OGC] for SFBDs and climate); new innovative technical solutions for vector monitoring (new trapping solution and EWS components); and at least 30 peer-reviewed open access publications, 2 policy reports, and diversity of public engagement materials. Project CLIMOS is part of the European cluster on climate change and health.

Εταίροι

UNIVERSIDADE NOVA DE LISBOA (UNL), CAMPUS DE CAMPOLIDE, LISBOA, Portugal
ISTITUTO SUPERIORE DI SANITA (ISS), ROMA, Italy
UNIVERZITA KARLOVA (CUNI), OVOCNY TRH 560/5, PRAHA, Czechia,
WAGENINGEN UNIVERSITY (WU), WAGENINGEN, Netherlands,
INSTITUT ZA MEDICINSKA ISTRA IVANJA (IMR), BELGRADE, Serbia,
KARLSRUHER INSTITUT FUER TECHNOLOGIE (KIT), KARLSRUHE, Germany,
UNIVERZA NA PRIMORSKEM UNIVERSITA DEL LITORALE (UP), KOPER, Slovenia,
UNIVERSIDAD DE MURCIA (UM), MURCIA, Spain,
HELMHOLTZ-ZENTRUM FUR UMWELTFORSCHUNG GMBH – UFZ (UFZ), LEIPZIG, Germany,
EGE UNIVERSITY (EGE), IZMIR, Turkey,
PRIVREDNO DRUSTVO ZENTRIX LAB DRUSTVO SA OGRANICENOM ODGOVORNOSCU PANCEVO (ZENTRIX LAB LLC), PANCEVO, Serbia,
UNIVERSITY OF HAIFA (UH), HAIFA, Israel,
F6S NETWORK IRELAND LIMITED (F6S), DUBLIN, Ireland,
INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM), PARIS, France,
HACETTEPE UNIVERSITESI (HACETTEPE), ANKARA, Turkey,
TRILATERAL RESEARCH LIMITED (TRI IE), DUNDALK LOUTH, Ireland,
UNIVERSITE DE REIMS CHAMPAGNE-ARDENNE (URCA), REIMS, France,
EREVNITIKO PANEPISTIMIAKO INSTITOUTO TILEPIKONONIAKON SYSTIMATON (TSI), CHANIA, Greece,
MINISTRY OF HEALTH (CSO-MOH), JERUSALEM, Israel,
PREDICTIA INTELLIGENT DATA SOLUTIONS SL (PREDICTIA), SANTANDER, Spain,
MINISTERO DELLA SALUTE (MoH, Italy), ROMA, Italy,
MEDIZINISCHE UNIVERSITAET WIEN (MEDUNI VIENNA), WIEN, Austria,
UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II (UNINA), NAPOLI , Italy,
GLIGORIJEVIC VLADAN (Cubex), BEVERWIJ, Netherlands,
Turkiye Cumhuriyeti Saglik Bakanligi (MOH), Ankara, Turkey,
OPEN GEOSPATIAL CONSORTIUM EUROPE (OGC), LEUVEN, Belgium,
UNIVERSITE D’AIX MARSEILLE (AMU), MARSEILLE, France

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SENTINEL

17 Μαΐου, 2022

SENTINEL

Bridging the security, privacy and data protection gap for smaller enterprises in Europe

Χρηματοδότηση: Ευρωπαϊκή Επιτροπή Ε.Ε.
Κωδικός Έργου: SENTINEL
Πρόγραμμα: Secure societies – Protecting freedom and security of Europe and its citizens
Προϋπολογισμός: € (Συνολικός: 5293214,43 €)
Ημερομηνία Έναρξης: 1η Ιουνίου 2021
Διάρκεια: 36 μήνες
Website(s): www, CORDIS

Πληροφορίες

Σύντομη Περιγραφή

Helping SMEs comply with personal data protection requirements

Millions of small and medium enterprises (SMEs) in Europe do not comply with the EU’s General Data Protection Regulation (GDPR). Unlike larger enterprises, SMEs are more likely to lack a clear roadmap to compliance. Many also cannot afford access to enterprise-grade cybersecurity technology. The EU-funded SENTINEL project will work to boost SME capabilities in this domain cost-effectively through innovation. It will integrate tried-and-tested modular cybersecurity technologies with fresh, ambitious ones, such as a novel identity management system for human-centric data portability. The aim will be to enable a unified European data space and an end-to-end digital personal data protection compliance self-assessment framework for SMEs.

Στόχοι Έργου

Over 25 million European SMEs/MEs, central within EU enterprise policy, face multiple challenges related to personal data protection; ranging from awareness, to a clear and practical roadmap to compliance, the most prominent one is the fact that, unlike larger enterprises, SMEs/MEs lack access to enterprise-grade cybersecurity technology and capacity-building for compliance, making them increasingly often victims of costly data breaches. Although, according to studies, small and micro businesses declare openness to invest in regulatory compliance, including for consultants and technology, millions of European SMEs/MEs still fail to comply with GDPR while their managers are confused about basic data security concepts, like data stewardship, encryption and secure communication. This presents a clear gap between cybersecurity- and privacy-related spending and its actual effect in personal data protection compliance.

SENTINEL aspires to bridge this gap by boosting SMEs/MEs capabilities in this domain through innovation, at a cost-effective level. SENTINEL will integrate tried-and-tested modular cybersecurity technologies with fresh, ambitious ones, such as a novel Identity Management System for human-centric data portability, enabling a unified “European Data Space” and an end-to-end digital personal data protection compliance self-assessment framework for SMEs, into a unified digital architecture. The data from these modules will then undergo disruptive Intelligence for Compliance through SENTINEL’s digital core, featuring machine learning-powered recommendations, policy drafting & enforcement for compliance and a ‘one-stop-shop’ incident response centre. Combined with a well-researched methodology for application, an open knowledge sharing hub and a wide-reaching plan for experimentation, SENTINEL will catalyse adoption of market-leading security tech among SMEs/MEs and help safeguard their and their customers’ assets.

Αποτελέσματα

Εταίροι

INFORMATION TECHNOLOGY FOR MARKET LEADERSHIP – Greece
AIRBUS CYBERSECURITY SAS – France
AEGIS IT RESEARCH GMBH – Germany
SPHYNX TECHNOLOGY SOLUTIONS AG – Switzerland
INSTITUTE OF DIGITAL INNOVATION ANDRESEARCH IDIR LIMITED – Ireland
LUXEMBOURG INSTITUTE OF SCIENCE AND TECHNOLOGY – Luxembourg
NETCOMPANY-INTRASOFT SA – Luxembourg
FOCAL POINT – Belgium
UNINOVA-INSTITUTO DE DESENVOLVIMENTO DE NOVAS TECNOLOGIAS-ASSOCIACAO – Portugal
Telecommunication Systems Institute – Greece
CLINGENICS (UK) LTD – United Kingdom
TRISTONE INVESTMENT GROUP LTD – Malta
KENTRO EVROPAIKOU SYNTAGMATIKOU DIKAIO IDRYMA THEMISTOKLI KAI DIMITRI TSATSOU – Greece

Άλλα Έργα

All 15 /Εθνικά Έργα 3 /Έργα Ε.Ε. 12 /Ιδιωτικά Έργα 0

SENTINEL

Bridging the security, privacy and data protection gap for smaller enterprises in Europe

OPTIMA

Optimizing Industrial Applications for Heterogeneous HPC systems

EnerMAN

ENERgy-efficient manufacturing system MANagement

AERAS

A CybEr range tRaining platform for medicAl organisations and systems Security

PROJECT ACRONYM

Πλήρες όνομα έργου

Χρηματοδότηση: Ευρωπαϊκή Επιτροπή Ε.Ε.
Κωδικός Έργου: Ακρωνύμιο
Πρόγραμμα:
Προϋπολογισμός: € (Συνολικός €)
Ημερομηνία Έναρξης: Ημερομηνία
Διάρκεια: μήνες
Website(s): www, CORDIS

EnerMAN

17 Μαΐου, 2022

EnerMan

ENERgy-efficient manufacturing system MANagement

Χρηματοδότηση: Ευρωπαϊκή Επιτροπή Ε.Ε.
Κωδικός Έργου: EnerMan
Πρόγραμμα: INDUSTRIAL LEADERSHIP – Leadership in enabling and industrial technologies – Advanced manufacturing and processing
Προϋπολογισμός: 751875 € (Συνολικός: 12202500 €)
Ημερομηνία Έναρξης: 1η Ιανουαρίου 2021
Διάρκεια: 36 μήνες
Website(s): www, CORDIS

Πληροφορίες

Σύντομη Περιγραφή

Energy efficiency in industry has increased in the EU over the past 20 years. While there have been improvements in all industrial branches, numerous in-factory changes can help further increase energy sustainability. The aim of the EU-funded EnerMan project is to reduce the energy consumption of the various components of manufacturing systems, such as machine tools. Specifically, it will create an energy sustainability management framework to collect data from the factory to predict energy trends using industrial processes, equipment and energy cost models. EnerMan will deliver an autonomous, intelligent decision-support engine that will evaluate the predicted trends and assess if they match predefined energy consumption sustainability objectives.

Στόχοι Έργου

ENERMAN envisions the factory as a living organism that can manage its energy consumption in an autonomous way. It will create an Energy sustainability management framework collecting data from the factory and holistically process them to create dedicated energy sustainability metrics. These values will be used to predict energy trends using industrial processes, equipment and energy cost models. ENERMAN will deliver an autonomous, intelligent decision support engine that will evaluate the predicted trends and access if they match predefined energy consumption sustainability KPIs. If the KPIs are not met, ENERMAN will suggest and implement changes in energy affected production lines control processes: an energy aware flexible control loop on various factory processes will be deployed. The ENERMAN administrators will be able to use the above mechanisms in order to identify how future changes in the production lines can impact energy sustainability using the ENERMAN prediction engine (based on digital twins) to visualize possible sustainability results when in-factory changes are made in equipment, production line. The ENERMAN digital twin will predict the economic cost of the consumed energy based on the collected and predicted Energy Peak load tariff, Renewable Energy System self-production, the variations in demand response, possible virtual generation and prosumer aggregation. Finally, ENERMAN considers the operators actions within the production chain as part of a factory’s energy fingerprint since their activity within the factory impacts the various production lines. In ENERMAN, we include a training mechanism with suggested personnel good practices for energy sustainability improvement through the production lines. Current and predicted energy consumption/sustainability trends on specific assets of the factory are collected and visualized in a Virtual, eXtended reality model of the factory to enhance the situational energy awareness of the factory personnel.

Αποτελέσματα

Εταίροι

Telecommunication Systems Institute – Greece
SPHYNX TECHNOLOGY SOLUTIONS AG – Switzerland
MAGGIOLI SPA – Italy
AEGIS IT RESEARCH GMBH – Germany
IOTAM INTERNET OF THINGS APPLICATIONS AND MULTI LAYER DEVELOPMENT LTD – Cyprus
ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS – Greece
INFINEON TECHNOLOGIES AG – Germany
PANEPISTIMIO PATRON – Greece
SIMPLAN AG – Germany
AVL LIST GMBH – Austria
STOMANA INDUSTRY SA – Bulgaria
DEPUY (IRELAND) UNLIMITED – Ireland
UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II – Italy
FH OO FORSCHUNGS & ENTWICKLUNGS GMBH – Austria
INSTITUT SUPERIEUR DE MECANIQUE DE PARIS – France
ASAS ALUMINYUM SANAYI VE TICARET ANONIM SIRKETI – Turkey
UNIVERSITY OF CYPRUS – Cyprus
PRIMA ELECTRO SPA – Italy
YIOTIS ANONIMOS EMPORIKI & VIOMIXANIKI ETAIREIA – Greece
INTRACT INOVASYON DANISMANLIK LIMITED SIRKETI – Turkey
PRIMA ADDITIVE SRL – Italy

Άλλα Έργα

All 15 /Εθνικά Έργα 3 /Έργα Ε.Ε. 12 /Ιδιωτικά Έργα 0

SENTINEL

Bridging the security, privacy and data protection gap for smaller enterprises in Europe

OPTIMA

Optimizing Industrial Applications for Heterogeneous HPC systems

EnerMAN

ENERgy-efficient manufacturing system MANagement

AERAS

A CybEr range tRaining platform for medicAl organisations and systems Security

AERAS

18 Μαΐου, 2022

AERAS

A CybEr range tRaining platform for medicAl organisations and systems Security

Χρηματοδότηση: Ευρωπαϊκή Επιτροπή Ε.Ε.
Κωδικός Έργου: AERAS
Πρόγραμμα: EXCELLENT SCIENCE – Marie Skłodowska-Curie Actions
Προϋπολογισμός: 220800 € (Συνολικός: 1435200 €)
Ημερομηνία Έναρξης: 1η Δεκεμβρίου 2019
Διάρκεια: 48 μήνες
Website(s): CORDIS

Πληροφορίες

Σύντομη Περιγραφή

Solving healthcare cybersecurity challenges

The healthcare industry is one of the biggest targets for cyberattacks, threatening daily operations and compromising confidential patient data. For instance, hospitals store a massive amount of patient data that is worth a lot of money to hackers. Also, hackers can install costly ransomware on medical devices that monitor heart rates or dispense drugs. The EU-funded AERAS project will develop a realistic and rapidly adjustable cyber range platform for systems and organisations in the healthcare sector. The aim will be to prepare stakeholders with different types of responsibility and levels of expertise in defending high-risk, critical cyber systems and organisations against advanced, known and new cyberattacks, and to reduce their security risks. The project will test the prototype in two pilots in the healthcare sector.

Στόχοι Έργου

AERAS aims to develop a realistic and rapidly adjustable cyber range platform for systems and organisations in the critical healthcare sector, to effectively prepare stakeholders with different types of responsibility and levels of expertise in defending high-risk, critical cyber-systems and organizations against advanced, known and new cyber-attacks, and reduce their security risks. The platform will be a virtual cyberwarfare solution enabling the simulation of the operation and effects of security controls and offering hands-on training on their development, assessment, use and management.

The platform will be based on an evidence-based approach where virtual cyberwarfare and simulations are configured according to evidence regarding: (i) the occurrence of cyber threats, and (ii) the effectiveness of the operation of the internal and external system defence mechanisms. Evidence will be collected by multi- faceted real-time monitoring and assessed according to Cyber Range Security Assurance (CRSA) models specifying potential cyber-attacks, the security mechanisms used against them, and the methods for assessing their effectiveness. The AERAS solution will be delivered at TRL-7 and validated through two different pilots in the healthcare sector: (i) a hospital medical systems pilot; and (ii) a public health systems pilot.

Αποτελέσματα

Publications

Peer reviews Articles

“Ionizing Radiation and Complex DNA Damage: Quantifying the Radiobiological Damage Using Monte Carlo Simulations”
Author(s): Konstantinos P. Chatzipapas, Panagiotis Papadimitroulas, Dimitris Emfietzoglou, Spyridon A. Kalospyros, Megumi Hada, Alexandros G. Georgakilas, George C. Kagadis
Published in: Cancers, 12/4, 2020, Page(s) 799, ISSN 2072-6694
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers12040799

Εταίροι

Άλλα Έργα

All 15 /Εθνικά Έργα 0 /Έργα Ε.Ε. 0 /Ιδιωτικά Έργα 0

SENTINEL

Bridging the security, privacy and data protection gap for smaller enterprises in Europe

OPTIMA

Optimizing Industrial Applications for Heterogeneous HPC systems

EnerMAN

ENERgy-efficient manufacturing system MANagement

AERAS

A CybEr range tRaining platform for medicAl organisations and systems Security

IntellIoT

13 Δεκεμβρίου, 2020

IntellIoT Αρχιτεκτονική
IntellIoT Use Case
IntellIoT Use Case
IntellIoT Use Case

1 2 3 4 5

IntellIoT

Intelligent, distributed, human-centered and trustworthy IoT environments

Χρηματοδότηση: Ευρωπαϊκή Επιτροπή Ε.Ε.
Κωδικός Έργου: IntellIoT
Πρόγραμμα: Horizon 2020 (H2020-ICT-2018-20)
Προϋπολογισμός: 426250€ (Συνολικός 7997615 €)
Ημερομηνία Έναρξης: 1η Οκτωβρίου 2020
Διάρκεια: 36 μήνες
Website(s): intelliot.eu, CORDIS

Πληροφορίες

Σύντομη περιγραφή

A new framework for human-defined autonomy

The Internet of Things (IoT) merges physical and virtual worlds. The European Commission is actively promoting the IoT as a next step towards the digitisation of our society and economy. The EU-funded IntellIoT project will develop a framework for intelligent IoT environments that execute semi-autonomous IoT applications, enabling a suite of novel use cases in which a human expert plays a key role in controlling and teaching the AI-enabled systems. Specifically, the project will focus on agriculture (tractors semi-autonomously operated in conjunction with drones), healthcare (patients monitored by sensors) and manufacturing (automated plants shared by multiple tenants who utilise machinery from third-party vendors). It will establish human-defined autonomy through distributed AI running on intelligent IoT devices.

Στόχοι Έργου

The traditional cloud centric IoT has clear limitations, e.g. unreliable connectivity, privacy concerns, or high round-trip times. IntellIoT overcomes these challenges in order to enable NG IoT applications. IntellIoT’s objectives aim at developing a framework for intelligent IoT environments that execute semi-autonomous IoT applications, which evolve by keeping the human-in-the-loop as an integral part of the system.

Such intelligent IoT environments enable a suite of novel use cases. IntellIoT focuses on: Agriculture, where a tractor is semi-autonomously operated in conjunction with drones. Healthcare, where patients are monitored by sensors to receive advice and interventions from virtual advisors. Manufacturing, where highly automated plants are shared by multiple tenants who utilize machinery from third-party vendors. In all cases a human expert plays a key role in controlling and teaching the AI-enabled systems.

The following 3 key features of IntellIoT’s approach are highly relevant for the work programme as they address the call’s challenges:

Human-defined autonomy is established through distributed AI running on intelligent IoT devices under resource-constraints, while users teach and refine the AI via tactile interaction (with AR/VR).
De-centralised, semi-autonomous IoT applications are enabled by self-aware agents of a hypermedia-based multi-agent system, defining a novel architecture for the NG IoT. It copes with interoperability by relying on W3C WoT standards and enabling automatic resolution of incompatibility constraints.
An efficient, reliable computation & communication infrastructure is powered by 5G and dynamically manages and optimizes the usage of network and compute resources in a closed loop. Integrated security assurance mechanisms provide trust and DLTs are made accessible under resource constraints to enable smart contracts and show transparency of performed actions.

Εταίροι

SIEMENS AKTIENGESELLSCHAFT – Germany (Coordinator)
EURECOM – France
AALBORG UNIVERSITET – Denmark
OULUN YLIOPISTO – Finland
TTCONTROL GMBH – Austria
TTTECH COMPUTERTECHNIK AG – Austria
Telecommunication Systems Institute – Greece
PHILIPS ELECTRONICS NEDERLAND BV – Netherlands
SPHYNX ANALYTICS LIMITED – Cyprus
UNIVERSITAET ST. GALLEN – Switzerland
HOLO-INDUSTRIE 4.0 SOFTWARE GMBH – Germany
AVL COMMERCIAL DRIVELINE & TRACTOR ENGINEERING GMBH – Austria
STARTUP COLORS UG – Germany
PANEPISTIMIAKO GENIKO NOSOKOMEIO IRAKLEIOU – Greece

Σχετικά Έργα

All 10 /Εθνικά Έργα 2 /Έργα Ε.Ε. 7 /Ιδιωτικά Έργα 1

VARCITIES

Visionary Nature Based Actions for Heath, Wellbeing & Resilience in Cities

SENTINEL

Bridging the security, privacy and data protection gap for smaller enterprises in Europe

Cyrene

17 Απριλίου, 2022

CYRENE

Certifying the Security and Resilience of Supply Chain Services

Χρηματοδότηση: Ευρωπαϊκή Επιτροπή Ε.Ε.
Κωδικός Έργου: CYRENE
Πρόγραμμα: H2020 (H2020-EU.2.1.1.)
Προϋπολογισμός: 403125 € (Συνολικός 4992750 €)
Ημερομηνία Έναρξης: 1η Οκτωβρίου 2020
Διάρκεια: 36 μήνες
Website(s): cyrene.eu, CORDIS

Πληροφορίες

Σύντομη Περιγραφή

Managing supply chain (SC) activities today is increasingly complex. One reason is the lack of an integrated means for security officers and operators to protect their interconnected critical infrastructures and cyber systems in the new digital era. The EU-funded CYRENE project aims to enhance the security, privacy, resilience, accountability and trustworthiness of supply chains, through the provision of a novel and dynamic Conformity Assessment Process (CAP) that evaluates the security and resilience of SC services. The CAP also assesses the interconnected IT infrastructures composing these services, and the individual devices that support the operations of the SCs. A new collaborative, multilevel, evidence-driven risk-and-privacy assessment approach will be validated in the scope of realistic scenarios/conditions comprising real-life SC infrastructures and end-users.

Στόχοι Έργου

Despite the tremendous socio-economic importance of Supply Chains (SCs), security officers and operators have still no easy and integrated way to protect their interconnected Critical Infrastructures (CIs) and cyber systems in the new digital era. CYRENE vision is to enhance the security, privacy, resilience, accountability and trustworthiness of SCs through the provision of a novel and dynamic Conformity Assessment Process (CAP) that evaluates the security and resilience of supply chain services, the interconnected IT infrastructures composing these services, and the individual devices that support the operations of the SCs. In order to meet its objectives, the proposed CAP is based on a collaborative, multi-level evidence-driven, Risk and Privacy Assessment approach that support, at different levels, the SCs security officers and operators to recognize, identify, model, and dynamically analyse advanced persistent threats and vulnerabilities as well as to handle daily cyber-security and privacy risks and data breaches.

CYRENE will be validated in the scope of realistic scenarios/conditions comprising of real-life supply chain infrastructures and end-users. Furthermore, the project will ensure the active engagement of a large number of external stakeholders as a means of developing a wider ecosystem around the project’s results, which will set the basis for CYRENE large scale adoption and global impact.

Εταίροι

MAGGIOLI SPA – Italy
CENTRO RICERCHE FIAT SCPA – Italy
FUNDACION DE LA COMUNIDAD VALENCIANA PARA LA INVESTIGACION, PROMOCION Y ESTUDIOS COMERCIALES DE VALENCIAPORT – Spain
STOCKHOLMS UNIVERSITET – Sweden
Telecommunication Systems Institute – Greece
University of Novi Sad Faculty of Sciences – Serbia
FOCAL POINT – Belgium
PRIVANOVA SAS – France
HYPERBOREA SRL – Italy
CYBERLENS BV – Netherlands
ZELUS IKE – Greece
SPHYNX TECHNOLOGY SOLUTIONS AG – Switzerland
IOTAM INTERNET OF THINGS APPLICATIONS AND MULTI LAYER DEVELOPMENT LTD – Cyprus
UBITECH LIMITED – Cyprus

Other Projects

All 15 /Εθνικά Έργα 0 /Έργα Ε.Ε. 0 /Ιδιωτικά Έργα 0

SENTINEL

Bridging the security, privacy and data protection gap for smaller enterprises in Europe

OPTIMA

Optimizing Industrial Applications for Heterogeneous HPC systems

EnerMAN

ENERgy-efficient manufacturing system MANagement

AERAS

A CybEr range tRaining platform for medicAl organisations and systems Security

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