International projects

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Current

NERO - European network on extreme fire behavior (NERO)
Duration:	17. 10. 2023 - 16. 10. 2027
Evidence number:	CA22164
Program:	COST
Project leader:	RNDr. Glasa Ján, CSc.
SAS cosolvers:	Ing. Valášek Lukáš, PhD.
Partner countries:	Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, France, Germany, Greece, Hungary, Italy, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Turkey
Project website:	https://www.cost.eu/actions/CA22164/#tabs+Name:Description

EOSC Beyond - EOSC Beyond: advancing innovation and collaboration for research
Duration:	1. 4. 2024 - 31. 3. 2027
Evidence number:	101131875
Program:	Horizont Európa
Project leader:	Ing. Tran Viet, PhD.
SAS cosolvers:	Ing. Dlugolinský Štefan, PhD., doc. Ing. Hluchý Ladislav, CSc., Ing. Klarák Jaromír, PhD.
Annotation:	EOSC Beyond overall objective is to advance Open Science and innovation in research in the context of the European Open Science Cloud (EOSC) by providing new EOSC Core capabilities allowing scientific applications to find, compose and access multiple Open Science resources and offer them as integrated capabilities to researchers. To do so, EOSC Beyond supports a new concept of EOSC: a federated and integrated network of Nodes operated at different levels, national, regional, international and thematic, to serve the specific scientific missions of their stakeholders. Further specific objectives of the project are to accelerate ‘time to product’ of new scientific applications with software adapters, enable Open Science with machine composability and dynamic deployment of shared resources, support innovation in EOSC with a testing and integration environment, and align the EOSC Core architecture and specifications to integrate with European dataspaces. The project extends the state of the art of the EOSC Core and adopts a co-design methodology, including requirements elicitation, software development and validation in collaboration with different use cases from EOSC national and regional initiatives (e-Infra CZ, Czechia, NFDI, Germany, and NI4OS, South East Europe region), thematic research infrastructures from Social Sciences and Humanities (CESSDA), Life Sciences (CNB-CSIC and Instruct-ERIC), Environmental Science (ENES and LifeWatch), and Health and Food (METROFood-RI). EOSC Beyond builds on the capacities of prospective EOSC Nodes and partners with multi-annual experience in developing solutions for large-scale federated digital infrastructures and aligns with the technical architecture and requirements of data spaces from different business sectors. Ultimately, EOSC Beyond supports Open Science in modern, data-intensive, and multidisciplinary research, facilitating resource discovery, access, and reuse across scientific communities, organisations, and countries.
Partner countries:	Croatia, Czech Republic, Finland, Germany, Greece, Hungary, Italy, Netherlands, North Macedonia, Norway, Poland, Portugal, Serbia, Spain, Switzerland, United Kingdom

Chemiresistive sensors based on 2D nanomaterials
Duration:	1. 1. 2025 - 31. 12. 2026
Evidence number:	Mobilita SAS-BAS-2025-2026
Program:	Mobility
Project leader:	Ing. Predanocy Martin, PhD.
SAS cosolvers:	Ing. Mgr. Andok Robert, PhD., Ing. Klarák Jaromír, PhD., RNDr. Kostič Ivan, Ing. Predanocy Martin, PhD., RNDr. Ritomský Marian, Ing. Škriniarová Jaroslava, CSc.
Annotation:	This project proposal builds on the previous project BAS-SAS-2022-05, which focused on investigating new progressive nanostructured 2D materials based on dichalcogenides of transition metals. In this project, we propose to focus on graphene as a 2D material for developing chemiresistive sensors.The subject of this project proposal is research concerning the preparation methods of nanometer patterns in 2D graphene using electron beam lithography, one of the alternative methods for creating nanometer patterns. An important part of the project is addressing the problems associated with the interaction of the electron beam in a very thin electron beam resist (10 - 50 nm) on 2D materials, including graphene. We will conduct experimental examinations and simulations of lithographic parameters on very thin electron beam resists on 2D graphene. We expect to observe new scattering effects that need to be analyzed and clarified in the case of low-energy secondary electrons. Additionally, the scattering of backscattered electrons, which involves long-range electron scattering in the substrate, will be examined.
Partner countries:	Bulgaria

SIESTA - Secure Interactive Environments for SensiTive data Analytics (SIESTA)
Duration:	1. 1. 2024 - 31. 12. 2026
Evidence number:	101131957
Program:	Horizont Európa
Project leader:	Ing. Tran Viet, PhD.
SAS cosolvers:	Ing. Astaloš Ján, Ing. Dora Jean Rosemond, PhD., Ing. Habala Ondrej, doc. Ing. Hluchý Ladislav, CSc., Mgr. Šeleng Martin, PhD.
Annotation:	The FAIR principles provide a framework for enabling proper access and reusability of scientific data, and implementing them is a key goal of the European Open Science Cloud (EOSC). However, providing access to sensitive or confidential data while preserving privacy/confidentiality and usability for researchers is still an open question. Existing solutions like safe rooms, safe pods, or data safe havens are often challenging for the development of reproducible research and seem counter-intuitive when dealing with open science and FAIR principles. The SIESTA project aims to provide a set of tools, services, and methodologies for the effective sharing of sensitive data in the EOSC, following a cloud-based model and approach. SIESTA will provide user-friendly tools with the aim of fostering the uptake of sensitive data sharing and processing in the EOSC. The project will deliver trusted cloud-based environments for the management and sharing of sensitive data that are built in a reproducible way, together with a set of services and tools to ease the secure sharing of sensitive data in the EOSC through state-of-the-art anonymization techniques. The overall objective is to enhance the EOSC Exchange services by delivering a set of cloud-based trusted environments for the analysis of sensitive data in the EOSC demonstrating the feasibility of the FAIR principles over them.
Partner countries:	Denmark, France, Italy, Netherlands, Slovakia, Spain, Sweden

4ACES) - AI Apps Against Alzheimer in Central Europe
Duration:	1. 6. 2024 - 31. 12. 2025
Evidence number:	22410426
Program:	International Visegrad Fund (IVF)
Project leader:	Ing. Rusko Milan, PhD.
SAS cosolvers:	prof. Mgr. Beňuš Štefan, PhD., Mgr. Čiernik Kevická Viktória, PhD., Ing. Darjaa Sakhia, PhD., Mgr. Sabo Róbert, PhD., Ing. Trnka Marian
Annotation:	The 4ACEs project brings together three leading institutions from the V4 region, with experience in innovation and development, specializing in the treatment of neurodegenerative diseases through speech processing and artificial intelligence. As part of the project, the partners are working on the research and development of a proof-of-concept application aimed at stimulating cognitive functions in individuals with Alzheimer\'s disease. The application will be based on voice interaction with end-users and will leverage the expertise of the partners in speech technology. The project serves as a framework for knowledge exchange through on-site visits, workshops, training programs, and conferences.
Partner countries:	Hungary, North Macedonia, Poland

iMagine - Imaging data and services for aquatic science (iMagine)
Duration:	1. 9. 2022 - 31. 8. 2025
Evidence number:	101058625
Program:	Horizont Európa
Project leader:	Ing. Tran Viet, PhD.
SAS cosolvers:	Ing. Astaloš Ján, Mgr. Bobák Martin, PhD., Ing. Dlugolinský Štefan, PhD., Ing. Habala Ondrej, doc. Ing. Hluchý Ladislav, CSc., Mgr. Šeleng Martin, PhD., Ing. Tran Viet, PhD.
Annotation:	iMagine provides a portfolio of free at the point of use image datasets, high-performance image analysis tools empowered with Artificial Intelligence (AI), and Best Practice documents for scientific image analysis. These services and materials enable better and more efficientprocessing and analysis of imaging data in marine and freshwater research, accelerating our scientific insights about processes and measures relevant for healthy oceans, seas, coastal and inland waters. By building on the computing platform of the European Open Science Cloud (EOSC) the project delivers a generic framework for AI model development, training, and deployment, which can be adopted by researchers for refining their AI-based applications for water pollution mitigation, biodiversity and ecosystem studies, climate change analysis and beach monitoring, but also for developing and optimising other AI-based applications in this field. The iMagine compute layer consists of providers from the pan-European EGI federation infrastructure, collectively offering over 132,000 GPU-hours, 6,000,000 CPU-hours and 1500 TB-month for image hosting and processing. The iMagine AI framework offers neural networks, parallel post-processing of very large data, and analysis of massive online data streams in distributed environments. 13 RIs will share over 9 million images and 8 AI-powered applications through the framework. Having representatives so many RIs and IT experts, developing a portfolio of eye-catching image processing services together will also give rise to Best Practices. The synergies between aquatic use caseswill lead to common solutions in data management, quality control, performance, integration, provenance, and FAIRness, contributing to harmonisation across RIs and providing input for the iMagine Best Practice guidelines. The project results will be integrated into and will bring important contributions from RIs and e-infrastructures to EOSC and AI4EU.
Partner countries:	Belgium, France, Germany, Ireland, Italy, Netherlands, Portugal, Spain

AI4EOSC - Artificial Intelligence for the European Open Science Cloud (AI4EOSC)
Duration:	1. 9. 2022 - 31. 8. 2025
Evidence number:	101058593
Program:	Horizont Európa
Project leader:	Ing. Tran Viet, PhD.
SAS cosolvers:	Ing. Astaloš Ján, Mgr. Bobák Martin, PhD., Ing. Dlugolinský Štefan, PhD., Ing. Habala Ondrej, doc. Ing. Hluchý Ladislav, CSc., Ing. Krammer Peter, Ing. Kvassay Marcel, PhD., doc. Ing. NGUYEN Giang, PhD., Ing. Staňo Michal, Mgr. Šeleng Martin, PhD., Ing. Tran Viet, PhD.
Annotation:	The AI4EOSC (Artificial Intelligence for the European Open Science Cloud) delivers an enhanced set of advanced services for the development of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) models and applications in the European Open Science Cloud (EOSC). These services are bundled together into a comprehensive platform providing advanced features such as distributed, federated and split learning; novel provenance metadata for AI/ML/DL models; event-driven data processing services or provisioning of AI/ML/DL services based on serverless computing. The project builds on top of the DEEP-Hybrid-DataCloud outcomes and the EOSC compute platform and services in order to provide this specialized compute platform. Moreover, AI4EOSC offers customization components in order to provide tailor made deployments of the platform, adapting to the evolving user needs. The main outcomes of the AI4EOSC project will be a measurable increase of the number of advanced, high level, customizable services available through the EOSC portal, serving as a catalyst for researchers, facilitating the collaboration, easing access to high-end pan-European resources and reducing the time to results; paired with concrete contributions to the EOSC exploitation perspective, creating a new channel to support the build-up of the EOSC Artificial Intelligence and Machine Learning community of practice.
Partner countries:	Germany, Italy, Poland, Portugal, Slovakia, Spain
Project website:	https://ai4eosc.eu/

EuroScienceGatew - leveraging the European compute infrastructures for data-intensive research guided by FAIR principles (EuroScienceGateway)
Duration:	1. 9. 2022 - 31. 8. 2025
Evidence number:	101057388
Program:	Horizont Európa
Project leader:	Ing. Tran Viet, PhD.
SAS cosolvers:	Ing. Astaloš Ján, doc. Ing. Hluchý Ladislav, CSc.
Annotation:	In the past decade, many scientific domains have been transformed into data-driven disciplines relying on the exchange and integration of internationally distributed data. Exploiting this data is still a laborious and largely manual task, prone to losses and errors, and increasingly specialised beyond most users technical capabilities. FAIR practices are encouraged but their adoption curve is steep. The needs for compute and data resources, tools, and application platforms are often domain-specific. Many scientists struggle to navigate this intricate ecosystem. Generally, researchers do not possess the computing skills to effectively use the HPC or Cloud platforms they need. Thus, new approaches are needed to enable all researchers, with widely ranging digital skills, to efficiently use the diverse computational infrastructures available across Europe, for asynchronous and for interactive applications.EuroScienceGateway will leverage a distributed computing network across 13 European countries, accessible via 6 national, user-friendly web portals, facilitating access to compute and storage infrastructures across Europe as well as to data, tools, workflows and services that can be customized to suit researchers\' needs. At the heart of the proposal workflows will integrate with the EOSC-Core. Adoption, development and implementation of technologies to interoperate across services, will allow researchers to produce high-quality FAIR data, available to all in EOSC. Communities across disciplines - Life Sciences, Climate and Biodiversity, Astrophysics, Materials science - will demonstrate the bridge from EOSC\'s technical services to scientific analysis. EuroScienceGateway will deliver a robust, scalable, seamlessly integrated open infrastructure for data-driven research, contributing an innovative and customizable service for EOSC that enables operational open and FAIR data and data processing, empowering European researchers to embrace the new digital age of science.
Partner countries:	Belgium, Czech Republic, France, Italy, Netherlands, Norway, Poland, Spain, Switzerland, Turkey, United Kingdom

SWORD - Smart Wound monitoring Restorative Dressings
Duration:	1. 1. 2020 - 30. 6. 2025
Evidence number:	H2020-873123
Program:	Horizont 2020
Project leader:	RNDr. Bardošová Mária, CSc.
SAS cosolvers:	Ing. Mgr. Andok Robert, PhD., Ing. Klarák Jaromír, PhD., Ing. Nemec Pavol, Ing. Predanocy Martin, PhD.
Annotation:	The project aims to combine the expertise and resources of four academic groups working at the frontiers of material research and two SMEs, one engaged in producing commercial medical materials as well as having own research capacities. The Consortium plans to develop wound dressings which an be rated as a radical innovation in the area of chronic wound care. Our efforts will concentrate on the design of a new product which will combine diagnostic and therapeutic actions and facilitate wound healing, while at the same time minimize treatment costs and optimize wound management thus positively influencing patient\'s wellbeing. A range of new composites derived from naturally occurring materials, such as chitin and halloysite combined with colloids will be studied. The ensuing hybrid materials will be processed using micro- and nano-manipulating tools, including roll-to-roll and electrospinning technologies. A thorough characterization program will be undertaken in order to understand the molecular-level interactions between the composite components. The determination of materials structure will allow a complete understanding of how their properties originate so that they can be tailored to precisely fit their application. The dressing will feature diagnostic sensors capable of measuring pH, humidity, temperature and associated bacterial activity as well as a highly absorbent layer designed to drain the wound and release therapeutic agents. Each member of the Consortium is well-resourced in terms of facilities, infrastructure and technology transfer support so as to provide an ideal environment for the research program, the training of younger researchers and the exploitation of findings. Leveraging from nationally funded grants and actively engaging in research exchanges while seeking to produce a radical innovation in the area of \'smart\' dressings the project will address all three key drivers of the knowledge-based society, namely research, education an innovation.
Partner countries:	Brazil, Czech Republic, Ireland, Japan, Romania, Slovakia, Ukraine
Project website:	https://cordis.europa.eu/project/id/873123

BattPor - Inline evaluation of Li-ion batery electrod porosity using machine learning algorithms
Duration:	1. 6. 2022 - 31. 5. 2025
Evidence number:	M.ERA-NET 3/2021/295/BattPor
Program:	ERANET
Project leader:	Ing. Malík Peter, PhD.
SAS cosolvers:	Ing. Mgr. Andok Robert, PhD., Mgr. Baida Maryna, Ing. Budinská Ivana, PhD., Ing. Klarák Jaromír, PhD., Ing. Krištofík Štefan, PhD., Ing. Lovíšková Jana, PhD., Ing. Malík Peter, PhD.
Partner countries:	Austria, Germany

Finished

SILVANUS - Integrated Technological and Information Platformfor wildfire Management (SILVANUS)
Duration:	1. 10. 2021 - 31. 3. 2025
Evidence number:	H2020-101037247
Program:	Horizont 2020
Project leader:	Ing. Balogh Zoltán, PhD.
SAS cosolvers:	Mgr. Bobák Martin, PhD., Ing. Budinská Ivana, PhD., Ing. Dlugolinský Štefan, PhD., Ing. Gatial Emil, PhD., Ing. Habala Ondrej, Ing Hassankhani Dolatabadi Sepideh, doc. Ing. Hluchý Ladislav, CSc., Ing. Kasanický Tomáš, Mgr. Šeleng Martin, PhD., Mgr. Weisenpacher Peter, PhD., Ing. Zelenka Ján, PhD.
Annotation:	SILVANUS envisages to deliver an environmentally sustainable and climate resilient forest management platform through innovative capabilities to prevent and combat against the ignition and spread of forest fires. The platform will cater to the demands of efficientresource utilisation and provide protection against threats of wildfires encountered globally. The project will establish synergies between (i) environmental; (ii) technology and (iii) social science experts for enhancing the ability of regional and nationalauthorities to monitor forest resources, evaluate biodiversity, generate more accurate fire risk indicators and promote safety regulations among citizens through awareness campaigns. The novelty of SILVANUS lies in the development and integration ofadvanced semantic technologies to systematically formalise the knowledge of forest administration and resource utilisation. Additionally, the platform will integrate a big-data processing framework capable of analysing heterogeneous data sourcesincluding earth observation resources, climate models and weather data, continuous on-board computation of multi-spectral video streams. Also, the project integrates a series of sensor and actuator technologies using innovative wireless communicationinfrastructure through the coordination of aerial vehicles and ground robots. The technological platform will be complemented with the integration of resilience models, and the results of environmental and ecological studies carried out for the assessment of fire risk indicators based on continuous surveys of forest regions. The surveys are designed to take into consideration the expertise and experience of frontline fire fighter organisations who collectively provide support for 47,504x104 sq. meters of forest area within Europe and across international communities. The project innovation will be validated through 11 pilot demonstrations across Europe and internationally using a two sprint cycle.
Partner countries:	Australia, Brazil, Croatia, Cyprus, Czech Republic, Denmark, France, Germany, Greece, Indonesia, Ireland, Italy, Luxembourg, Poland, Portugal, Romania, Slovakia, Spain, Sweden