Project
Institute of Informatics
International Projects
4ACES) - AI Apps Against Alzheimer in Central Europe
AI aplikácie proti Alzheimerovej chorobe v strednej Európe
| Duration: | 1. 6. 2024 - 31. 12. 2025 |
| Evidence number: | 22410426 |
| Program: | International Visegrad Fund (IVF) |
| Project leader: | Ing. Rusko Milan PhD. |
| 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. |
EOSC Beyond - EOSC Beyond: advancing innovation and collaboration for research
EOSC Beyond: pokrok v inováciách a spolupráci v oblasti výskumu
| Duration: | 1. 4. 2024 - 31. 3. 2027 |
| Evidence number: | 101131875 |
| Program: | Horizont Európa |
| Project leader: | Ing. Tran Viet 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. |
NERO - European network on extreme fire behavior (NERO)
Európska sieť pre extrémne správanie požiarov
| Duration: | 17. 10. 2023 - 16. 10. 2027 |
| Evidence number: | CA22164 |
| Program: | COST |
| Project leader: | RNDr. Glasa Ján CSc. |
| Project web page: | https://www.cost.eu/actions/CA22164/#tabs+Name:Description |
Chemiresistive sensors based on 2D nanomaterials
Chemorezistorové senzory na báze 2D nanomateriálov
| Duration: | 1. 1. 2025 - 31. 12. 2026 |
| Evidence number: | Mobilita SAS-BAS-2025-2026 |
| Program: | Mobility |
| Project leader: | Ing. Predanocy Martin PhD. |
| 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. |
SIESTA - Secure Interactive Environments for SensiTive data Analytics (SIESTA)
Zabezpečené interaktívne prostredia pre analýzu citlivých údajov
| Duration: | 1. 1. 2024 - 31. 12. 2026 |
| Evidence number: | 101131957 |
| Program: | Horizont Európa |
| Project leader: | Ing. Tran Viet 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. |
National Projects
AI4CC - AI-Driven Self-awareness and Cognition for Compute Continuum (AI4CC)
Adaptívna a reflexívna umelá inteligencia pre výpočtové kontinuum
| Duration: | 1. 7. 2024 - 30. 6. 2027 |
| Evidence number: | APVV-23-0430 |
| Program: | APVV |
| Project leader: | doc. Ing. Hluchý Ladislav CSc. |
| Annotation: | AI4CC aims to contribute with new AI-based methods and algorithms to the development of modern computing continuums, addressing some of the key challenges of this domain. These challenges include enhancing the autonomy and self-adaptation capabilities of compute continuum platforms to optimize decision-making and responsiveness; adapting to changing conditions, necessitating flexible and adaptive computing models for dynamicity; efficiently managing vast amounts of data, considering factors like decentralization, scalability, and real-time processing for effective Data Management; ensuring transparency, explainability, and accountability in AI and machine learning models within compute continuums; achieving seamless interoperability between diverse devices and platforms within the continuum, impacting data exchange and communication for Interoperability, and dealing with resource heterogeneity—variability in computing resources across the continuum, including edge and cloud environments, posing challenges in optimizing performance and resource utilization. By systematically addressing these challenges and pioneering advancements in these key areas, AI4CC aims not only to bridge existing gaps but to propel compute continuums into a new era of efficiency, adaptability and security. The project envisions a future where compute continuums seamlessly integrate into various domains, fostering a holistic and intelligent computing environment that adapts to the ever-evolving demands of the digital landscape. |
CFD simulations of tunnel fire and wildland fire using FDS
CFD simulácie požiaru v tuneli a lesných požiaroch pomocou FDS
| Duration: | 17. 10. 2025 - 16. 10. 2026 |
| Evidence number: | p1561-25-3 |
| Program: | Iné projekty |
| Project leader: | Ing. Valášek Lukáš PhD. |
DICRIS - Digital Technologies for Critical Infrastructures (DICRIS)
Digitálne technológie pre kritické infraštruktúry
| Duration: | 1. 8. 2024 - 31. 3. 2026 |
| Evidence number: | 09I05-03-V02-00055 |
| Program: | Plán obnovy EÚ |
| Project leader: | doc. Ing. Hluchý Ladislav CSc. |
| Annotation: | To advance foundational scientific knowledge and design methodologies necessary for accelerating the digital transformation of the Slovak power industry. This comprehensive research and development effort aims primarily at creating and integrating digital twin technology for critical infrastructure components of the Slovak electric transmission system. Additionally, it includes the development of predictive analytical models and a context-aware decision support empowered with human voice processing capabilities in Slovak. The ultimate goal is to enhance the safety, security, and reliability of the electric power grid while driving broader digital transformation across various economic sectors. |
DyMAX - Dynamic malware analysis with explainable AI
Dynamická Malvérová Analýza s vysvetliteľnou AI
| Duration: | 1. 9. 2024 - 30. 6. 2028 |
| Evidence number: | DyMAX |
| Program: | APVV |
| Project leader: | Ing. Budinská Ivana PhD. |
| Annotation: | a |
EnviroSens - Environmental sensors based on 2D nanomaterials
Environmentálne senzory na báze 2D nanomateriálov
| Duration: | 1. 8. 2024 - 31. 7. 2026 |
| Evidence number: | SK-BG-23-0017 |
| Program: | APVV |
| Project leader: | RNDr. Kostič Ivan |
| Annotation: | The objective of this project proposal is the research of new semiconducting 2D materials for application in environmental sensors. 2-dimensional (2D) materials have been at the forefront of materials research in recent years due to their unic electrical and optical properties and interesting mechanical properties deriving from their atomically thin dimensions. One of promising applications of 2D materials are chemical, environmental, and biological sensor devices based on such 2D materials. In this project, we will focus on the development of environmental sensors based on 2D materials with concentration on gas sensors. |
| Project web page: | https://www.ui.sav.sk/w/odd/senzor/projekty/ |
BioStimul - Experimental System for Wireless Stimulation and Monitoring of Selected Biological Properties and Cognitive Abilities of Drosophila melanogaster.
Experimentálny systém pre bezkontaktnú stimuláciu a monitorovanie vybraných biologických vlastností a kognitívnych schopností Drosophila melanogaster.
| Duration: | 1. 9. 2024 - 30. 6. 2027 |
| Evidence number: | APVV-23-0173 |
| Program: | APVV |
| Project leader: | Ing. Mgr. Andok Robert PhD. |
| Annotation: | The fruit fly Drosophila melanogaster serves as one of the most versatile models for studying human diseases, including neurodegenerative or learning disorders. Thanks to the unique genetic tools available exclusively in the fly model, Drosophila considerably contributed to discoveries of genetic regulations behind processes such as learning and behavior. Nevertheless, progress in this research area is limited by available technologies for the stimulation and tracking fruit flies. This project aims to develop novel equipment for wireless stimulation and monitoring of insect behavior. A wireless micro-heater will be installed onto the Drosophila’s body, designed and developed within this project, together with the microsensor of position / force. The fly will be stimulated individually under certain circumstances by locally controlled heat induced in the micro-heater realized by connecting a nanometric diamond film (as a supporting material bilogically compatible with the examined tiny insects, and at the same time a material with excellent thermal conductivity) with a high density micro coil consisting of a closed LC resonant circuit with a high-k dielectric material (ZrO2, SrTiO3, HfO2) used for the micro-capacitor. By exerting electromagnetic waves of certain resonant frequency related to the size of the coil, electromagnetic induction will occur and the device will heat up stimulating the insect. The project aims to optimize and utilize this technology for the study of olfactory and social learning. The technology will nonetheless have a broad impact in other areas of Drosophila neuroscience, ethology and physiology. The system can be, for example, used also for wireless stimulation of flies in various types of learning experiments, for tracking fly behavior in complex environments, or for studies of behavioral roles of diverse genes and environmental factors. The suggested technology will have broad implications in both primary research and biomedicine. |
SPICE - Smart Data PIpelines for the Cognitive ComputE Continuum (SPICE)
Inteligentné dátové kanály pre kognitívne výpočtové kontinuum
| Duration: | 1. 4. 2025 - 30. 9. 2027 |
| Evidence number: | 09I02-03-V01-00012/2025/VA/PZ |
| Program: | Plán obnovy EÚ |
| Project leader: | doc. Ing. Hluchý Ladislav CSc. |
| Annotation: | The growing scale and complexity of the Cloud led to the emergence of Edge and IoT computing in the "compute continuum" for applications relying heavily on sensor data and time-critical AI-assisted data processing. Its primary goal is to enable intelligent decision making and gain deeper insights across the continuum. At the same time, assembling and maintaining well-designed data pipelines involves addressing numerous technical, operational and organizational challenges. These hurdles and expertise/resource constraints act as a barrier for wider adoption of data pipelines. Our goal is to provide: (1) AI-assisted composition of smart data pipelines to radically simplify complex and distributed data processing, (2) a highly optimized execution environment and resource management that enable secure and smart data processing for the compute continuum. The results of our project will be made available as an innovation transformation incubator for others to exploit. |
Intelligent sensor systems and data processing
Inteligentné senzorové systémy a spracovanie dát
| Duration: | 1. 1. 2023 - 31. 12. 2026 |
| Evidence number: | VEGA 2/0135/23 |
| Program: | VEGA |
| Project leader: | Ing. Malík Peter PhD. |
| Annotation: | The central theme of Industry 4.0 and 5.0 is the digitization, intelligence and decentralization of management, so a key research is the new generation of smart sensors, able to cooperate and adapt to environment changes. This will be achieved by researching new methods of aggregating hyperspectral and multimodal data, as well as algorithms using artificial intelligence. The project is focused on intelligent algorithms for non-contact surface sensing in high-noise environments, which are able to learn the nature and noise distribution from data. This results in higher accuracy and greater noise robustness. The emphasis is on the classification and anomaly detection, which will bring more accurate and robust algorithms for use with the high noise content and long-tailed distribution that dominates in the common industrial environment. Research into aggregation algorithms for heterogeneous and multisensor data will bring new compensation mechanisms to suppress the effects of negative factors on sensor systems. |
Computer simulation of airflows and fire smoke spread in critical structures
Počítačová simulácia prúdenia vzduchu a šírenia dymu pri požiari v kritických objektoch
| Duration: | 1. 1. 2024 - 31. 12. 2027 |
| Evidence number: | VEGA 2/0096/24 |
| Program: | VEGA |
| Project leader: | Mgr. Weisenpacher Peter PhD. |
| Annotation: | Research in the proposed project is focused on formulation of new scientific knowledge on computer simulation of airflows and fire smoke spread in critical structures. Motorway tunnels were selected as the main subject of research interest based on discussions with specialists on fire safety in Slovakia. Tunnels belong to inteligent structures with high safety requirements due to potentially huge losses in case of fire. Natural airflows, airflows created by emergency ventilation, airflows induced by fire and fire smoke spread will be analyzed with focus on velocity fields, velocity profiles and smoke stratification. Computational aspects of efficient parallel realization of computer simulation on HPC systems will be investigated as well. The previous research results, experience and obtained experimental data will be utilized. The research is in line with current research trends and requirements of the fire researchers’ and simulators developers’ community and has potential to have significant social impact. |
Progressive methods of the transfer of nanostructured semiconductive 2D materials based on transition metal dichalcogenides onto microelectronic elements
Progresívne metódy transferu nanoštruktúrnych polovodivých 2D materiálov na báze dichalkogenidov tranzitných kovov do mikroelektronických prvkov
| Duration: | 1. 1. 2022 - 31. 12. 2025 |
| Evidence number: | 2/0099/22 |
| Program: | VEGA |
| Project leader: | Ing. Mgr. Andok Robert PhD. |
| Annotation: | The aim of this project is to carry out basic research in the field of new progressive nanostruct. semiconductive materials based on dichalcogenides of transition metals with the focus on nanostructured disulfides. The properties of selected nanostructured disulfides will be examined in terms of their use in microlelectronics and expected advantages of nanostructured disulfides in comparison with bulk semiconductor materials will be shown. We will design model microelectronic devices based on specific nanostructured disulfides such as WS2, MoS2, MSe, and develop technological methods for their preparation. We will master mechanical exfoliation of nanostructured disulfide layers and transfer of these nanostructured layers to the microelectronic device on the substrate. We will also focus on the analysis of these layers and their structural properties by physical methods (SEM, AFM, EDX, Raman spectroscopy...) and on the characterization of electrical and transport properties of the model microel. structure. |
Semantic distributed computing continuum for extreme data processing
Sémantické distribuované výpočtové kontinuum pre spracovanie extrémnych dát
| Duration: | 1. 1. 2023 - 31. 12. 2025 |
| Evidence number: | 2/0131/23 |
| Program: | VEGA |
| Project leader: | doc. Ing. Hluchý Ladislav CSc. |
SILVANUS-SK - (SILVANUS-SK)
Výskum a vývoj vybraných inovatívnych technológií pre platformu manažmentu lesných požiarov
| Duration: | 1. 1. 2025 - 31. 3. 2026 |
| Evidence number: | 09I01-03-V04 -00107 |
| Program: | Plán obnovy EÚ |
| Project leader: | Ing. Balogh Zoltán PhD. |
SCDCANS - Stopping criteria to bound distributed consensus algorithms with asymptotic convergence for network size estimation
Zastavovacie kritériá pre ohraničenie distribuovaných konsenzuálnych algoritmov s asymptotickou konvergenciou pre odhad veľkosti siete
| Duration: | 1. 4. 2024 - 31. 12. 2025 |
| Evidence number: | SK-SRB-23-0038 |
| Program: | APVV |
| Project leader: | Ing. Kenyeres Martin PhD. |
| Annotation: | Knowing the network size (or at least its precise estimate) beforehand is crucial for many modern distributed algorithms executed in multi-agent systems. As seen in the literature, widespread consensus-based algorithms for distributed averaging can be easily applicable for this purpose. However, they have not been too frequently used to estimate the network size since their definition. The research of the researchers involved in this project is planned to be focused on how to efficiently stop the execution of these algorithms for network size estimation in a distributed way. The efficient operation of algorithms is one of the most crucial design requirements placed on topical multi-agent systems, as identified in many related manuscripts. The primary goals of this project are to analyze the mentioned algorithms for network size estimation from numerous aspects (e.g., estimation precision, convergence rate, robustness, etc.), examine and optimize the performance of the existing stopping criteria, and to propose novel stopping criteria that optimize consensus-based data aggregation in multi-agent systems. Multiagent systems in this project will be modeled as graphs with random topologies, ensuring a credible representation of real-world systems. An analysis of the used methods' reliability using probabilistic tools such as large deviations is also planned to be done. |
INFOTICK - Getting the right info on ticks (INFOTICK)
Získanie pravdivých informácií o kliešťoch
| Duration: | 1. 7. 2023 - 30. 6. 2027 |
| Evidence number: | APVV-22-0372 |
| Program: | APVV |
| Project leader: | Ing. Gatial Emil PhD. |
| Annotation: | Despite the fact that the castor bean tick, Ixodes ricinus has been studied for a century, many questions regarding its ecology remains unanswered. Several aspects of its basic biology and phenology are still unexplored. Global changes, including climate shifts, transformation of the landscape and urbanization, contribute to the switch not only in tick distribution, but also in bionomics and seasonal activity of ticks. The ornate dog tick, Dermacentor reticulatus adapts quickly to changing conditions and its range is expanding. There is the need for detailed description of areas where these ticks are found (natural as well as urban habitats), since their ranges have changed during the last decades. The main risk factor for tick -exposed people in a given area is the density of infected questing ticks. In the proposed project, questing activity of ticks will be monitored using the tick -plot methodology „tick gardens“ in field plots as well as flagging the vegetation for questing ticks. Using the tick-plot methodology, we will also follow the tick life cycle and the seasonality of various developmental events (especially moulting) as well as the longevity of different life stages. Since these two species of ticks are considered epidemiologically the most important, we will also identify the prevalence and occurrence of both pathogen infected questing ticks and infected ticks feeding on animals. Furthermore, with changing conditions, the invasion and occurrence of „non-native“ species of ticks in Slovakia will be closely monitored since these emerging tick species can introduce new pathogens to our area. The information obtained by the research team during the project as well as during previous studies will be transferred and used in the development of a mobile application for tick identification and the creation of a website that will bring benefits to the general public and professionals to understand the risk of infection with the tick-borne pathogens. |
Projects total: 19