Active projects
You can find other projects on the website of the FAV ZČU departments.
8J24FR005
Tight bounds for fractional colouring
The goal of the project is to improve the understanding of structural and algorithmic graph theory through detailed study of fractional coloring. The specific problems to solve include:
- Complete characterization of subcubic triangle-free graphs of fractional chromatic number more than 8/3.
- Proof that up to finitely many exceptions, the graphs of maximal degree at most four and clique number three have fractional chromatic number at most 11/3.
- Characterization of planar graphs of maximum degree five and fractional chromatic number four.
- Improving the bounds on the fractional chromatic number of planar graphs of girth five.
A further goal is to help the students and postdoctoral researchers gain or improve experience with research and establish new contacts.
Provider: Ministry of Education, Youth and Sports
Project leader: prof. RNDr. Tomáš Kaiser, DSc., Department of Mathematics
Solution period: 2024–2025
CZ.02.01.01/00/22_008/0004572
Quantum materials for sustainable technologies
The QM4ST project focuses on cutting-edge theoretical and experimental research in the field of quantum materials, specifically on their design, quantum-mechanical description, controlled synthesis, and advanced spectroscopic as well as nanostructural characterization. The studied materials have significant potential for applications in areas such as intelligent energy savings, renewable energy sources, optoelectronics, spintronics, photocatalysis, sensors, and detectors. The project is built on the synergistic collaboration of excellent research groups from the Czech Republic and abroad, which possess unique expertise and the most advanced knowledge, and contributes to the development of doctoral students.
Provider: Ministry of Education, Youth and Sports - OP JAK PO1
Project leader: prof. Ing. Petr Zeman, Ph.D., Department of Physics
Solution period: 2023–2028
22-11101S
Tensor Decomposition in Active Fault Diagnosis for Stochastic Large Scale Systems
The project deals with the development of active fault diagnosis (AFD) algorithms for stochastic discrete-time large-scale systems. To achieve the feasibility of the algorithms, tensor decompositions (TDs) will be employed in several components of the AFD algorithm design. In particular, the TDs will be applied for the dynamic programming responsible for the active aspect of the diagnosis, for the nonlinear Bayesian state estimation responsible for the learning, and for the information fusion responsible for merging the information learned by individual AFD nodes. To meet the requirements involved, novel TD algorithms will be developed with a special focus on non-negative variants, variants with limited sensitivity, and functional TD. Combining the components fused with the developed TDs in the decentralized, distributed or hierarchical AFD architectures exploiting structural properties of the large-scale system will lead to feasible algorithms capable of coping with the complexity of nonlinear stochastic large-scale systems.
Provider: Czech Science Foundation
Project leader: doc. Ing. Ondřej Straka, Ph.D., VP1
Solution period: 2022–2026
TK04020250
Modern methods for shape optimization of Francis turbines
The main goal of the project is significant improvement of methods for automatic design and shape optimization of Francis turbines, especially of their running wheels, for given working parameters which will be focused especially on better utility qualities of the turbines, such as, e.g., efficiency, unit flux or resistance to cavitation. Compared to the previous version of the method developed by this research team, all components of the method will be improved: new geometric description suitable for local refinement, substantial improvement of the developed solver for flow simulation and also optimization method itself, which will be based on a gradient-based method exploiting continuous adjoint optimization method and which will be newly formulated for this case.
Provider: Technology Agency of the Czech Republic
Project leader: doc. Ing. Bohumír Bastl, Ph.D., Department of Mathematics
Solution period: 2022–2025
23-07924I
Advanced nanostructured metal coatings with superior mechanical properties and high thermal stability
The project deals with current problems in the science of nanostructured metallic materials, i.e., achieving their nanocrystalline structure and maintaining such a structure and properties at elevated temperatures. The objects of the research are magnetron sputtered copper and titanium-based coatings alloyed with elements that are immiscible in the solid-state with the base metal. It is assumed that atoms of the alloying elements, such as Ta, W, and Zr, will be adsorbed on the surface of growing nuclei of the base metal and will block their growth, contributing to the formation of a nanocrystalline structure. As the coating volume is formed, these adsorption layers will transform into grain boundary segregation layers and, under certain conditions, elevate the cohesive strength of the grain boundaries, improve mechanical properties of the base metal, and increase its recrystallization temperature. The relationships between the physicochemical properties of the segregating elements and the base metals and the phase-structural state of adsorption layers will be investigated in detail.
Provider: Czech Science Foundation
Project leader: Mariia Zhadko, VP4
Solution period: 2023–2025
23-07280S
Identification and compensation of imperfections and friction effects in joints of mechatronic systems
The project deals with the research of mechatronic systems whose target performance is potentially deteriorated by friction effects on one side and joint clearances allowing more free motion on the other side. The first aim is reliable modelling of joint imperfections, friction effects and limits of their active compensations at the level of virtual prototypes in order to prevent late detection of unreachability of target functionality on the machine. The problematic phenomena, namely the relative velocity reversals in joints, a combination of friction and clearances, and the stick-slip effect will be investigated from the point of view of identification, modelling and active compensation in the real joints. The compromise between the minimization of friction effects and prevention of clearances by mechanical optimization and control strategies will be investigated related to accuracy of motion control and dynamic properties synthesis. The reliability of modelling, identification and compensation strategies will be tested by virtual prototypes as well as by partial demonstrators.
Provider: Czech Science Foundation
Project leader: doc. Ing. Michal Hajžman, Ph.D., KME a VP3
Solution period: 2023–2025
23-07031S
Ellipsoidal modelling of planetary gravitational fields
Physical geodesy is an intriguing subject dealing with the gravitational field modelling. The standard conceptual model of the gravitational field determination, however, does not represent an adequate framework for contemporary and near-future investigations of solar system bodies and for the state-of-the-art sensors collecting diverse types of gravitational observations. In this project, we will formulate a novel potential theoretic basis for the high-resolution gravitational field modelling of oblate planetary bodies in the analytical form. These major theoretical developments will comprehensively reflect the current and foreseen technological progress in observational techniques, thus all quantities from the gravitational potential up to the components of the third-order gravitational tensor. We will find original solutions to highly challenging problems of physical geodesy by completing the ellipsoidal Meissl scheme, answering the justification of the analytical continuation of gravitational field parameters, and developing a modern method for estimating mass redistribution.
Provider: Czech Science Foundation
Project leader: doc. Ing. Michal Šprlák, PhD., Department of Geomatics
Solution period: 2023–2025
23-06220S
Flexoelectric periodic structures for fluid transport and energy harvesting
The project is aimed at exploitation of the flexoelectricity phenomenon to design periodic porous structures used for energy harvesting or fluid transport due to time-space actuation by electric field. A methodology will be developed to optimize topology and geometry of microstructures composed of dielectric, piezoelectric, and metallic materials. Multiscale mathematical modelling and experiments on 3D printed locally polarized samples will enable to explore theoretical possibilities and real limitations of such flexoelectric periodic structures functionality, especially local polarization production due to deformation concentration in response to dynamic fluid-structure interaction at the pore level. Macroscopic models capturing these phenomena will be developed by the higher order homogenization while respecting geometrical nonlinearities. Algorithms for reducing the computational complexity of multiscale numerical models will be proposed. For 3D printing of flexoelectric porous composites, techniques based on simultaneous localized polarization will be developed.
Provider: Czech Science Foundation
Project leader: prof. Dr. Ing. Eduard Rohan, DSc., KME a VP3
Solution period: 2023–2025
TN02000012
Center of Advanced Nuclear Technology II
- Raising competitiveness of CR in operation of existing nuclear technologies (shorter downtime of existing reactors; lowering production and operating costs; nuclear reactors (NR) operations automation; using modern fuel types; higher efficiency of nuclear power plants (NPP); long-term operation of nuclear power plants (LTO)).
- Effective involvement of CR in development of new NR and technologies (new NR development; use of new technologies in the entire fuel cycle; development of new forms of fuel; new methods for increasing NPP efficiency).
- Increasing nuclear and radiation safety in Czech nuclear energy field (use of modern safety technologies and procedures in NPP operations; lowering radiation burden on personnel during NR operations and down time; e. g. at the rear of the fuel
Provider: Technology Agency of the Czech Republic
Project leader: prof. Ing. Miloš Schlegel, CSc., VP1
Solution period: 2023–2028
TN02000028
Center for advanced machines and manufacturing technology
- The concentration of unique resources of leading Czech R&D centers founded mainly with the support of ERDF (OP RDI), large enterprises, and a broad portfolio of small and medium-sized companies.
- R&D activities for new, innovative technologies and products in vast application areas of consortium members.
- New products with less energy consumption, with a significant increase of their intelligence for utilizaton in Industry 4.0 and Engineering for 21th Century applications.
- Increasing of competitiveness of consortium members and their products, new markets, and export opportunities.
- New human resources in the field of electrical and mechanical technologies (support of talented researchers, new study programs).
- Improved bi-directional knowledge and commercial transfer between universities and companies.
Provider: Technology Agency of the Czech Republic
Project leader: doc. Ing. Martin Goubej, Ph.D., CSc., VP1
Solution period: 2023–2028
DH23P03OVV073
The database of the historical sources concerning political repressions against Czechoslovakian citizens and compatriots in the Soviet Union
The main goal is to overcome the limits of research on political repression against Czechoslovakian (CS) citizens and compatriots in the USSR caused by the unavailability and fragmentation of sources in post-Soviet, Czech (CZ) and Slovak (SK) archives and memory organizations. The aim is to create a database of these sources, make it available to the public and ensure its preservation. The core of the project is: a) Development of software for the creation of a public database of sources – esp. software for OCR of scanned documents, software for named entity detection and also GUI and DB management tools. The database of sources will contain more than 1.5 mil. pages of documents of the Soviet security authorities OGPU-NKVD-NKGB-MGB-MVD- KGB (hereinafter NKVD-KGB) from post-Soviet archives, materials from CZ and SK archives, interviews with witnesses from oral historical collections, image materials, etc. A minimum of 250,000 NKVD-KGB text and photo documents will be digitized and made available to the public within the project. Those will be the ones that have not yet been obtained from the Ukrainian archives in previous projects due to capacity and financial reason and also due to the outbreak of the war in 2022. A minimum of 50,000 documents will be digitized in the CZ and SK archives All collected sources will be annotated manually or automatically and used further within the project. Other goals include: b) Creation of an interactive map showing the repression of Czechs and CS citizens in the former USSR in the years 1917-1956 (about 10,000 people - in a number of layers according to nationality, place of birth, residence, etc.), but also information about individual camps and prisons, etc. c) Creation of the database of the CS victims of Soviet repression on the basis of searches of investigation files of the NKVD-KGB, documents from other archives as well as translation of databases of victims.
Provider: MKČR - NAKI III
Project leader: prof. Ing. Luděk Müller, Ph.D.
Solution period: 2023–2027
TK05010177
DataScience tools for the regulatory domain (DS4Reg)
The main goal is the development of innovative Data Science methods to increase the information and statistical harvesting of data stored at ERÚ and the automation of ERÚ's internal processes.
Provider: Technology Agency of the Czech Republic
Project leader: Ing. Martin Střelec, Ph.D., VP1
Solution period: 2023–2025
TN02000012/001N
Emission-free technologies for local energy sources replacement
The aim of the proposed project is the development of technologies and the development of competences for the future replacement of local energy and heating sources with new emission-free technologies for the production of electricity and heat. The activities of the proposed project will be divided into two work packages - WP1: Strategic SMRs subsystems and technologies; WP2: Safety, Reliability, Life Cycle Models and Analyses.
Provider: Technology Agency of the Czech Republic
Project leader: doc. Ing. Jindřich Liška, Ph.D., Department of Cybernetics
Solution period: 2023–2026
TQ01000332
Telemedicine self-examination of speech and memory for rapid detection of cognitive impairments using machine learning methods
Early cognitive disorders diagnosis is becoming increasingly important due to population aging. The most common causes include Alzheimer's disease and frontotemporal dementia. These diseases are also manifested by changes in speech. NLP allows us to identify and classify these changes. The project aims to develop a web application for self-assessment and automated detection of cognitive disorders from speech. The application will have a form of a dialogue system using machine learning methods. The novelty of this approach is the possibility of an efficient self-assessment of a wide spectrum of the Czech population from their homes and an automated evaluation of test results. Early detection can be followed by a more detailed diagnosis and adequate treatment.
Provider: Technology Agency of the Czech Republic
Project leader: Ing. Luboš Šmídl, Ph.D, VP1
Solution period: 2023–2026
24-12291S
Multiscale modelling of acoustics-driven fluid suspensions flows in adaptive porous structures
The project is aimed at exploitation of nonlinear acoustic phenomena to design deformable porous architectures intended for transport of fluids and capsule suspensions. The acoustic interactions at the pore level featured by acoustic streaming, unilateral contact and adhesion, and induced peristaltic deformation will be studied using homogenization and other methods for time-space multiscale modelling. Macroscopic models capturing these phenomena will be developed by the higher order homogenization while respecting geometrical nonlinearities, resonance effects and acoustic metamaterial properties. Algorithms for reducing the computational complexity of multiscale numerical models will be developed, regarding time periodic behaviour and induced frequency modulation. Design of porous dynamic architectures will be optimized to maximize the acoustic driven flow performance, controlability and functionality criteria. Applications in acoustofluidics, bioengineering and swarm microrobotics of smart fluid suspensions are expected.
Provider: Czech Science Foundation
Project leader: prof. Dr. Ing. Eduard Rohan, DSc., KME a VP3
Solution period: 2024–2026
SS73020004
FunDive: Monitoring and mapping fungal diversity for nature conservation
The application addresses all three themes of the open Biodiversa call. It will provide a major boost for knowledge on fungal diversity and monitoring in Europe. Despite their obvious ecosystem importance, fungi have so far been widely neglected in international nature conservation planning and monitoring, leading to a wide-ranging knowledge gap. The project will work to close this gap. Based on existing citizen science data, it will explore spatiotemporal changes in fungal communities and analyze how well the Habitats Directive captures fungal biodiversity. Further, it will develop and test new tools and methods for fungal biodiversity mapping and monitoring, combining citizen science and standardized sampling of DNA from environmental sampling (eDNA). Finally, an important objective is to consolidate open data resources underlying all work on fungal biodiversity, by substantially improving the taxonomic and DNA based annotation of fungi, thereby securing consistent species concepts across monitoring approaches.
Provider: Technology Agency of the Czech Republic
Project leader: Ing. Lukáš Picek, Ph.D., VP1
Solution period: 2024–2026
CZ.02.01.01/00/23_021/0008436
RandD of technologies for advanced digitization in the Pilsen metropolitan area (DigiTech)
The DigiTech project will significantly expand the cooperation of the NTIS research center at Faculty of Applied Sciences of the UWB in Pilsen with application partners. The main purpose is to build effective cooperation enabling the application of research results in practice. The outputs and results of the resolved research project "R&D technologies for advanced digitization" will contribute to setting the environment and processes for long-term sustainability of cooperation, intellectual property protection and technology transfer between the NTIS research center and partners from industry and services.
The aim of the project is:
- Implementation of cooperation between the NTIS research center and project partners from the application sphere:
ŠKODA TRANSPORTATION a.s. – main partner of the project
ZAT a.s.,
Amitia s.r.o.,
PROFESS, spol. s r.o.,
COMPUREG Plzeň, s.r.o.,
LESPROJEKT-SLUŽBY s.r.o.. - Implementation of the research plan "R&D technologies for advanced digitization" with a deal into three research topics:
Robotics and control technologies,
Diagnostic and decision-making technologies,
Monitoring technology. - Preparation and submission of jointly processed project applications for support from national and international programs developing R&D in the given issue, both in basic (oriented) research and behalf of practical applications.
Provider: Operational Programme Johannes Amos Comenius (OP JAK) Intersectoral Cooperation for ITI - EU, MŠMT (Ministry of Education, Youth and Sports)
Project leader: prof. Ing. Pavel Novák, Ph.D., NTIS
Solution period: 2024–2028
41102024
Dotace na přípravu strategického projektu „TOPSIDE – Toolkit for production of semiconductors in Europe“
Za ZČU / FAV žádáme o dotaci na podporu přípravy strategického projektu TOPSIDE (Horizon Europe / CHIPS JU). V případě úspěchu projekt přinese průlom a zásadní know-how v oblasti high-tech mechatroniky, robotiky a umělé inteligence pro výrobu polovodičů a elektronických komponent. Dále se předpokládá spolupráce v souvisejícím materiálovém výzkumu. V projektu je definována spolupráce s klíčovými EU leadery, např. NXP Semiconductors, Analog Devices, ThermoFisher, ITEC, AMS-Osram, X-FAB, Semilab, MuRata apod. a výzkumnými institucemi typu TU/e, VTT, Tyndall, EDI. Celkem očekává účast až 40ti partnerů z 12ti států EU s celkovými náklady až 1mld Kč.
Provider: Krajský úřad Plzeňského kraje
Project leader: Ing. Martin Čech, Ph.D., VP1
Solution period: 2024–2025
101181408
BioClima
The BioClima project, enhanced by EU-China collaboration, aims to revolutionise biodiversity and climate monitoring by merging advanced AI with ground and remote sensing data systems for deeper terrestrial ecosystem insights. It will develop harmonised monitoring systems across the EU and China, leveraging AI to refine data models and analytical pipelines for robust policy-making. The project is set to strengthen monitoring through Essential Biodiversity Variables (EBVs) and Essential Climate Variables (ECVs), and make synergies between biodiversity conservation and climate mitigation. BioClima is designed to support policy-making with scientific insights and recommendations for integrated climate and biodiversity strategies at national and international levels. Through case studies across Europe, the project's findings will be upscaled to inform EU-wide strategies, contributing to climate neutrality, adaptation, and biodiversity conservation fforts. BioClima supports EuropaBON's goals for standardised biodiversity monitoring, enhancing data integration, and fostering international cooperation. BioClima anticipates significant increases in monitoring coverage, accuracy in biodiversity and climate change assessments, and the implementation of nature-based solutions. Furthermore, it aims to strengthen EU-China cooperation, enhancing global environmental monitoring, conservation strategies, and policy formulation.
Provider: EC - Horizon Europe
Project leader: Ing. Tomáš Mildorf, Ph.D., Department of Geomatics
Solution period: 2025–2028
VJ01010108
VJ01010108 Share Robust processing of recordings for operations and security
The project is proposed by two top Czech research groups working in the field of speech data mining: BUT Speech@FIT (Brno) and Department of Cybernetics of University of West Bohemia (Pilsen). Its goal is to unify and coordinate R&D in the area of speech data mining from realistic recordings and tight cooperation with law enforcement agencies. The project aims at robust automatic speech recognition, determination who speaks when in a recording (diarization) and querying by acoustic examples. The investigated technologies build on a common framework of neural architectures for machine learning. The planned outputs include 5 software tools that will be tested by two units of Czech Police. The project also foresees an intensive international cooperation on both scientific and LEA levels.
Provider: MVČR
Project leader: Ing. Luboš Šmídl, Ph.D., VP1
Solution period: 2020–2025
FW03010025
Therapeutic rehabilitation robot controlled by brain signals
The main goal of the project will be to develop a therapeutic rehabilitation robot in which the process of re-education of the patient's upper limb momentum will be controlled directly through signals from his brain using a brain-computer interface (BCI). The developed robot will also use information from position, force and torque sensors, which will enable optimal rehabilitation of limb momentum by the robot and will also provide diagnostic validation of the treatment process. In addition to the above attributes, the robot will excel in the possibilities of Internet connectivity, full use of the possibilities of virtual reality and the principles of artificial intelligence will be applied in its control. It will also include an intelligent diagnostic system with the help of which it will be possible to objectively assess the success of therapy and optimize it.
Provider: Technology Agency of the Czech Republic
Project leader: Ing. Pavel Mautner, Ph.D., Department of Computer Science and Engineering
Solution period: 2021–2025
TM03000049
Advanced robotics for non-destructive inspection in harsh environments
The aim of the project is to enhance sensors, HW, SW and structure of the robotic devices (standard industrial robot and/or non-standard architecture robot prototypes) in such a way that the Non-Destructive Testing (NDT) applications may be effectively implemented in harsh industrial environments (dust, water, vibrations, radiation, etc.). The components will be integrated and the whole technology will be validated on two pilots apps: tube weld inspection in power plants (CZ), composite materials inspection (CN). Both will use common approaches and components such as: robot complex path planning and optimization in 3D, obstacle avoidance algorithms, trajectory learning, vision sensors, visualisation and HMI. TRL shift from 4-7 is expected and roadmap towards TRL9 is defined.
Provider: Technology Agency of the Czech Republic
Project leader: Ing. Martin Čech, Ph.D., VP1
Solution period: 2022–2025
22-00863K
Controllable metamaterials and smart structures: Nonlinear problems, modelling and experiments
The project aims to broaden the current concept of passive metamaterials (MM) in the form of periodical structures towards a new class of smart controllable MM which open new perspectives for engineering applications. These new periodic structures are constituted by elastic and viscoelastic materials combined with controllable electroactive materials with piezo-electric, electro- and magneto-strictive properties. By incorporating such tailored electroactive components into the locally periodic microstructures, and by providing suitable mechanisms for their active control, it will be possible to tune dynamic properties of such new MM in time. Nonlinear response of electroactive MM and their behavior as controllable actuators in the context of controlling wave processes, internal attenuation, frequency bands, energy harvesting will be studied. Designing of such MM requires the synergy of multiscale and multi-physics continuum modelling, homogenization, advanced numerical methods, optimization and experimental validation.
Provider: Czech Science Foundation
Project leader: prof. Dr. Ing. Eduard Rohan, DSc., KME a VP3
Solution period: 2022–2025
NAVISP-EL1-056
Advanced Algorirhms and Techniques for Resilient Time Provision
The project is devoted to the accurate and reliable estimation of the ensemble time scale based on the statistical processing of an ensemble of particular time scales (clock measurements) which are of different accuracy and providers (physical clocks, internet time protocols, etc.). The goal of the project is the hardware and software solution for the ensemble time scale computation at TRL 5 to be tested at ESA facility.
Provider: EXPRO+
Project leader: doc. Ing. Jindřich Duník, Ph.D., Department of Cybernetics
Solution period: 2022–2025
101056756
XL - Connect
The overall project objective is to optimize the entire charging chain - from energy provision to the end user - to create a clear benefit for all stakeholders. Therefore, a ubiquitous on-demand charging solution based on an optimized charging network considering human, technical and economic factors along the entire charging chain shall be developed.
Provider: EC - HEU
Project leader: Ing. Martin Střelec, Ph.D., VP1
Solution period: 2022–2026
23-05947S
Ab-initio guided investigation of refractory metal-based high entropy ceramic coatings
The project aims to predict stable phases and properties of new Cr-Hf-Mo-Ta-W and CrMn-Mo-Si-Y based high entropy ceramics, synthesising them as coatings and analysing relations between the deposition parameters, physical processes taking place during the plasma-based deposition, the coating structure and coating properties. All the elements in each system were chosen for their intrinsic properties, for their effect on the properties of commonly used alloys as well as for their synergistic behaviour. The parameters of the deposition process will be based on the ab-initio modelling, and they will be varied in a range of conditions with regards to the energy flux during the coating growth and to the composition of the deposited coatings to synthesise coatings with significantly different phase compositions and microstructure. The focus will be given to the study of the coatings at high temperatures allowing for an understanding of the basic physical processes such as confirming the presence of high entropy phase stabilisation and comparison of ab-initio calculations and experiment.
Provider: Czech Science Foundation
Project leader: prof. Ing. Petr Zeman, Ph.D., Department of Physics
Solution period: 2023–2025
101095835
AgrarSense - Smart, digitalized components and systems for data-based Agriculture and Forestry
AgrarSense project initiative aims to develop microelectronics, photonics, electronic packaging for agricultural and forestry. The project will also develop related ICT and data management level to realise large scale field demonstrators for real industrial needs.
Provider: Ministry of Education, Youth and Sports - HEU_ECSEL/JU
Project leader: Ing. Tomáš Mildorf, Ph.D., VP6
Solution period: 2023–2025
101097267
OPEVA - Optimization of Electric Vehicle Autonomy
The project OPEVA aims for innovation on aggregating information from the vehicle, not only from the battery but also from other internal sensors and behaviours, to create a model of performance and consumption specific to the individual vehicle and its driver (TD1).
Provider: Ministry of Education, Youth and Sports - HEU_ECSEL/JU
Project leader: Ing. Martin Střelec, Ph.D., VP1
Solution period: 2023–2025
FW06010545
Development of a proven technology of a robotic workplace for non-contact measurement of car windows
The goal of the project plan of MIKRON plus s.r.o. will develop a new proven technology of a robotic workplace for non-contact measurement of car windows. The project is a continuous follow-up to the FV30431 project entitled "Research and development of a new technology for non-contact measurement and inspection of car windows", in which the utility model of technology for non-contact measurement of car windows was developed and registered. This already developed technology will be part of a larger - production unit - which, however, needs to be developed so that it is efficient and as accurate as possible and represents a significant shift in the accuracy and simplicity of measuring car windows on the market, so that the company offers a competitive result in an international environment.
Provider: Technology Agency of the Czech Republic
Project leader: prof. Ing. Miloš Schlegel, CSc., VP1
Solution period: 2023–2025
LM2023062
Digital Research Infrastructure for Language Technologies, Arts and Humanities
The large research infrastructure LINDAT/CLARIAH-CZ represents the Czech national node (distributed among 17 participating partners from 15 institutions) of the pan-European research infrastructures CLARIN-ERIC (Common Language Resources and Technology Infrastructure), DARIAH-ERIC (Digital Research Infrastructure for the Arts and Humanities) and EHRI-ERIC (European Holocaust Research Infrastructure, in the process of being prepared). LINDAT/CLARIAH-CZ collects, processes, annotates (manually and automatically) and stores linguistic, multimedia and other data related to the Czech language environment, including from a historical perspective. At the same time, it provides open access not only to these data, but also to technologies, particularly relevant for the humanities and social sciences and related interdisciplinary research (e.g. formal and computer linguistics, translatology, lexicography, psychology, sociology, neurolinguistics, cognitive sciences or artificial intelligence). In the field of digital arts and humanities, which includes literature and literary sciences, history, including research on the Holocaust and genocides of the 20th century, historical bibliography, culture and science of culture, art history, philosophy, film and film history including new media and their analysis, visual arts, musicology and history of music, ethnology, folklore, archaeology, Egyptology and interdisciplinary research across them, including combination with modern technologies. LINDAT/CLARIAH-CZ is significantly involved in the development of the CLARIN DSpace data repository, which it provides to cooperating organizations at the national and international level. The main objective of the infrastructure is to make digitized data resources in these disciplines available to the broad scientific community, including the software services necessary for the efficient use of these resources, in an open mode. The infrastructure program also includes educational activities.
Provider: Ministry of Education, Youth and Sports - LM
Project leader: doc. Ing. Pavel Ircing, Ph.D., VP1
Solution period: 2023–2026
TM04000031
Advanced AI-based robotics of complex industrial component inspection and assembly and its demonstration applications
Aim of the project is to develop, validate and implement production technology for evaluation of flaws during inservice ultrasonic inspections of implemented especially TOFD and PAUT ultrasound methods for selected inspection areas by machine learning methods, including preparation of draft implementation of NDT qualification of inspection procedures using machine learning methods to identify segments of inspection areas with potential flaw indications for further evaluation by a qualified inspector. - Develop and optimize an available robotic system by incorporating machine learning module for evaluating inservice inspections and efficient positioning of NDT probes, including the possibility of intuitive programming. The aim is common development of common components and their testing on two pilot apps CZ / CN
Provider: Technology Agency of the Czech Republic
Project leader: Ing. Marek Hrúz, Ph.D., VP1
Solution period: 2023–2025
FW06010052
Design of a high-speed ring spindle using a digital twin
The ELS40K project aims to develop a high-speed textile spindle using advanced simulation and testing methods. The aim is to design, develop and implement a prototype ring spindle for spinning machines that will be operable at speeds up to 40,000 rpm. The project also aims to: - Create a digital twin of the spindle under development using a set of suitable modelling and simulation methods allowing the key properties of the spindle to be verified during the design work on the 3D model. - Development and implementation of test methods to verify the outputs obtained from the digital twin, including special test stations using Industry 4.0 elements to automate data collection and monitoring of the spindle.
Provider: Technology Agency of the Czech Republic
Project leader: doc. Ing. Jindřich Liška, Ph.D., VP1
Solution period: 2023–2025
LM2023055
Czech National Infrastructure for Biological Data
ELIXIR CZ is a national large research infrastructure (VVI) for biological data in the life science fields including environmental, agricultural and medical sciences. Data is the main component of scientific projects on the basis of which analyses and hypotheses verification are performed and scientific discoveries are formulated. Data analysis, processing, storage, interoperability management and availability (fully in accordance with FAIR principles) are currently provided through synergy of bioinformatic and technological approaches within the ELIXIR CZ infrastructure. The main objective of the ELIXIR CZ project is to provide open access to complex data sources and to provide tools and services that meet the needs of the scientific community at the state-of-art level. The mission of the infrastructure is to offer solutions to current problems related to the exponential growth of experimental and theoretical data of biological research. Research in the field of biological sciences worldwide faces the challenge not only of realising the accessibility and security of stored data, but also of ensuring the interoperability of heterogeneous data sets and tools. ELIXIR CZ provides state-of-the-art expertise through tools, services and complex solutions to data problems in a wide range of disciplines. ELIXIR CZ is a pioneer of two important infrastructure components at both national and international level. This is the issue of scientific data management, in which ELIXIR CZ is an authority on the concept of scientific data management plan and in IT technology implementation, where it is a pioneer in authentication and authorization infrastructure with a pan-European LS AAI solution. Among other specialized services not in the final stage of development yet, ELIXIR CZ is strictly based on the Open Access approach and consequently allows access to a wide range of users without having to pay for the service.
Provider: Ministry of Education, Youth and Sports - LM
Project leader: Ing. Lucie Houdová, Ph.D., VP1
Solution period: 2023–2026
TM04000019
Robust Navigation System
The Global Navigation Satellite System (GNSS) is the most used navigation system. However, the position determination is affected by various interferences, intentional (Jamming, Spoofing) or unintentional (atmosphere reflection/refraction, scintillations, multipath or unwanted RF transmissions, etc.), that can drastically affect the performance of the GNSS receiver. The project objective is: - Design, develop and validate a navigation system prototype robust to GNSS Jamming & Spoofing - Compare advanced anti-jamming and anti-spoofing methods - Define a certification strategy of the robust solution for the commercial aviation market - Assess the market potential of the robust prototype enhanced with advanced anti-jamming and anti-spoofing capabilities.
Provider: Technology Agency of the Czech Republic
Project leader: doc. Ing. Ondřej Straka, Ph.D., VP1
Solution period: 2023–2025
LUAUS23128
LUAUS23128 Share The study of climate change on honey bee colonies through biological analysis and artificial intelligence
The honey bee, which is a major agricultural pollinator, includes 44 subspecies and is distributed in different climates around the world. Although the wide range of geographical distribution, diverse ecotypes of bees, and genetic diversity indicate a good ability of bees to adapt to local geographical conditions, in the last 15 years a constantly increasing incidence of bee colony losses, as well as a decline in natural populationsof other insect pollinators, have been reported worldwide. Although it is assumed that losses of bee colonies and other insect populations may be caused by several factors, such as anthropogenic influences (application of agrochemicals, poor beekeeping practices, limited availability of food, frequent relocation of bee colonies to pollinate crops, loss of natural ecosystems), pathogens (mainly mite varroa and viral infections), it is assumed that one of the most significant factors is current climate change. Climate change can have a dramatic effect on the biological timing of both pollinators and plants. Changes in temperature change the phenology of flowering, which affects the production of nectar and pollen, which represents one of the main negative impacts of climate change on pollinators and their interaction with plants. The mutual interaction between pollinators and plants is further significantly disrupted by the frequent extreme weather events that accompany climate change.
Provider: Ministry of Education, Youth and Sports - INTER-EXCELLENCE II
Project leader: Ing. Lukáš Picek, Ph.D., VP1
Solution period: 2023–2027
FW06010192
Výzkum a vývoj nových aplikací vlákenných materiálů s funkčními vlastnostmi
Hlavním cílem projektu je Výzkum a Vývoj vlákenných materiálů s funkčními vlastnostmi, vyrobenými technologií magnetronového nanášení antimikrobiálních kovů na vlákenné materiály. Prvotním cílem VaV aktivit bude navrhnout a zrealizovat technické prostředky – technologii pro nanášení kovů na vlákenné materiály. Budou vytvořeny funkční modely depozičních systémů, které umožní poloprovozní produkci (Maloobjemový Depoziční Systém) a následně i průmyslovou produkci (Velkoobjemový Depoziční Systém). Dále bude realizován Výzkum a Vývoj nových, progresivních vlákenných materiálů s funkčními vlastnostmi s nanesenou funkční vrstvou (antimikrobiální pro likvidaci virů a bakterií, nebo s jinými technickými vlastnostmi) ve vakuovém depozičním systému pomocí magnetronového naprašování v inertním plynu.
Provider: Technology Agency of the Czech Republic
Project leader: doc. Ing. Pavel Baroch, Ph.D., VP4
Solution period: 2023–2026
FW06010462
Tenzometrické tenkovrstvé senzory s vysokou citlivostí a životností připravované pomocí magnetronové depozice
Cílem projektu je rozvinout a implementovat do výrobní praxe všechny kroky nezbytné k přípravě tenzometrického senzoru pomocí moderních metod magnetronové depozice přímo na povrch zákazníkova dílu. Takto připravený senzor vykazuje vysokou citlivost a dlouhou životnost a nalezne uplatnění v robotice, v přesném obrábění a v dlouhodobém měření životnosti dílů. Tento tenzometr může být provozován i za vyšších teplot, které mohou dosahovat až 1000 °C.
Provider: Technology Agency of the Czech Republic
Project leader: doc. Ing. Jiří Čapek, Ph.D., Department of Physics
Solution period: 2023–2026
TN02000025
Národní centrum pro energetiku II
Cílem Národního centra pro energetiku II je vytvoření komplexní strategie pro moderní, nízkouhlíkovou a udržitelnou energetiku prostřednictvím výzkumu a vývoje metod, materiálů a technologií včetně analýzy sociálně-ekonomického dopadu implementace nových vědeckých poznatků s navazujícími doporučeními na legislativní opatření v souladu se strategickými dokumenty na národní a mezinárodní úrovni, tj. zejména The European Green Deal a Fit for 55 pro naplnění závazků ČR snížit emise skleníkových plynů a zajistit uhlíkovou neutralitu do roku 2050.
Provider: Technology Agency of the Czech Republic
Project leader: doc. Ing. Jindřich Liška, Ph.D., VP1
Solution period: 2023–2028
TN02000054
Božek Vehicle Engineering National Center of Competence (BOVENAC)
Cíl návrhu projektu reaguje na současné změny v trendech konstrukce vozidel proti dnešnímu projektu JOBNAC, zejména s důrazem na:
- Elektrifikaci vozidel na různých úrovních.
- Digitalizaci výzkumu v termodynamických, aerodynamických, mechanických, elektrických a řídicích oblastech vozidel jako klíčových základních technologií (KET), kombinující jej s o testovacími fázemi jednotlivých inovací a celých systémů, o IT nástroji pro řízení vozidel propojenými se systémy mobility a autonomního řízení, o šetrností vozidel k životnímu prostředí v celém životním cyklu.
- Konkurenceschopnost finálních výrobků na světových trzích splňující výše uvedené položky.
- HMI s dopadem AI a komunikaci v systémech V2X.
- Analýza životního cyklu nových koncepcí vozidel s dopady různých provedení.
Provider: Technology Agency of the Czech Republic
Project leader: doc. Ing. Ondřej Straka, Ph.D., VP1
Solution period: 2023–2028
CZ.01.01.01/01/22_002/0000463
Artificial intelligence for extracting structured data from archival documents
Creating a solution for a user selectable and easy to train OCR tool for specific input.
Provider: Ministry of Industry and Trade - OP TAK-APLIKACE
Project leader: Ing. Ivan Gruber, Ph.D., VP1
Solution period: 2023–2025
TN02000054/003N
Fast Change of Mobility GHG Emissions (FACME)
The main goal of the proposed subproject is to support the competitiveness of the Czech vehicle industry by innovated vehicle powertrains, design and control. Specific care will include partial project goals: • electrification of vehicles at different levels and tools for it, • greening of ICE powertrains reflecting EU regulations and directives, • digitization of research for vehicles, combining it with: o testing phases of individual innovations and whole systems, o IT tools for vehicle control linked to mobility systems and those for autonomous driving, o environmental friendliness throughout the vehicle life cycle
Provider: Technology Agency of the Czech Republic - DP NPO
Project leader: doc. Ing. Ondřej Straka, Ph.D., VP1
Solution period: 2023–2026
CZ.01.01.01/06/23_014/0001360
Edge computing and deep learning for traffic data collection and vehicle identification
The project aims to enhance mobility and knowledge transfer between the corporate and application spheres in order to support and accelerate the development of a software product that, using edge computing and neural networks, enables continuous collection of traffic statistics in urban environments based on image analysis from tens to hundreds of cameras connected to the city camera system with simultaneous tracking of the vehicles between the cameras.
The expected outputs of the project are:
- SW tools in the form of documented Python scripts for optimizing neural network models for their use on end devices (e.g. cameras)
- Optimized models for collecting traffic statistics
- Documented SW tools for training models for vehicle tracking between cameras
- Models for vehicle tracking between cameras retrained for the European urban environment and traffic
The project is in line with the specific objectives of the RIS 3 strategy and aims to fulfill the specialization domain "Technologically advanced and safe transport", where it has a direct link to KET Artificial Intelligence and Digital Security and Connectivity with a connection to the VaVAI topic for the Autonomous Mobility domain.
Provider: Ministry of Industry and Trade - OP TAK_PZT
Project leader: Ing. Marek Hrúz, Ph.D., VP1
Solution period: 2023–2025
CZ.01.01.01/01/22_002/0000974
RAVDAI - real-time nástroj pro popis audiovizuálních dat s využitím umělé inteligence
Projekt si klade za cíl na základě vlastního výzkumu a vývoje state-of-the-art technologií založených převážně na moderních metodách umělé inteligence vytvořit nový komplexní systém pro segmentaci a popis audiovizuálních dat v reálném čase. Stávající, již zastaralé, řešení umožňuje pouze přepis zvukové složky dat do textu. Taková řešení jsou nyní základem například pro společnosti poskytující on-line monitoring médií, kde již ale přestává být konkurenceschopné z důvodu nástupu univerzálních řešení velkých firem jako Google či Microsoft. Nový systém zpracovávající obě modality – zvuk i obraz, tak kromě vlastního přepisu řeči do textu bude schopen klasifikace obrazové scény a zvukových událostí, extrakce textu z obrazu a detekce a identifikace osob v obrazu či řečníků ve zvuku. Tyto základní funkce umožní tvorbu komplexní segmentace a popisu audiovizuálních dat. Důležitým aspektem nového řešení bude schopnost práce s real-time streamy, tedy nepřetržité zpracování dat v reálném čase jak zvukové, tak i obrazové složky dat s výstupy získanými průběžně s malým zpožděním. V projektu bude vytvořeno řešení se zcela novou modulární architekturou, která umožní systém nasazovat v různých IT infrastrukturách, včetně on-premise řešení, u zákazníků na různých operačních systémech, včetně cloudového řešení, pro zpracování velkých objemů dat.
Projekt je řešen firmou SpeechTech, s.r.o. ve spolupráci s výzkumným centrem NTIS na Fakultě aplikovaných věd (FAV) na Západočeské univerzitě v Plzni (ZČU).
Projekt RAVDAI je spolufinancován Evropskou unií v rámci Evropského fondu pro regionální rozvoj v rámci Operačního programu Technologie a aplikace pro konkurenceschopnost (OP TAK).
Provider: Ministry of Industry and Trade - OP TAK-APLIKACE
Project leader: doc. Ing. Mgr. Josef Psutka, Ph.D., VP1
Solution period: 2023–2026
BYCZ01_007_ExRe
Applied exoskeleton research for use in rehabilitation - ExRe
The project develops collaborative research capabilities in the field of applied research, focusing on the development of a state-of-the-art lower limb exoskeleton prototype for rehabilitation purposes using innovations in design, construction technologies, 3D printing and brain-computer interface (conversion of brain signals into limb movement). The project also strengthens joint research capacity for technology transfer in the rehabilitation and prosthetic fields (lower limb trauma patients, stroke patients, etc.). The project will be implemented by a consortium of partners through a multidisciplinary research team. The partners will collaborate on all activities, share research knowhow and use common research capacities in line with RIS3 and High-Tech Agenda priorities. These are the research teams of THD Deggendorf/TC Cham, GC Bad Kötzting, TC Hutthurm and ZČU in Pilsen (Faculty of Health Studies, Ladislav Sutnar Faculty of Design and Art, Faculty of Applied Sciences and Faculty of Mechanical Engineering/RTI. The project will also involve 5 associated partners from practice, which will enable testing of the prototype exoskeleton on a selected group of patients. The project has a strong innovative potential, and its outputs may find application in the application sphere of small and medium-sized enterprises focused on rehabilitation and prosthetics in the Czech-Bavarian region.
Provider: SFEU - INTERREG (BY-CZ) 2021-2027
Project leader (za FAV): doc. Ing. Roman Mouček, Ph.D., Department of Computer Science and Engineering
Solution period: 2023–2026
101139060
BIPED - Building Intelligent Positive Energy Districts
With the aim of digitally representing urban environments in detail, digital twins play a significant role in current and future urban development, as for instance the development of Positive Energy Districts (PEDs), and hence are a central aspect of the twin green and digital transformation. However, focusing on energy consumption, transport and mobility related topics, digital twins for PEDs currently lack in significant aspects representing a complete profile of a district or a city (such as information on social, economic and environmental properties), often driven by limited data availability. This Research and Innovation action provides a holistic view on the development of digital twins for PEDs by including such variables to extend the digital twin for the case of Aarhus, Denmark.
Provider: EC - HEU
Project leader: Ing. Tomáš Mildorf, Ph.D., Department of Geomatics
Solution period: 2024–2026
24-12144S
Investigation of 3D flow structures and their effects on aeroelastic stability of turbine-blade cascades using experiment and deep learning approach
At peak renewable energy production, it is necessary to operate steam turbines in modes outside the optimal design load. Modern steam turbines therefore have to operate under variable loading, which can lead to serious aeroelastic stability problems. Lower mass flow ratio results in a redistribution of the pressure field along the blades and the formation of spatial flow structures with a pronounced radial component. The main objective is therefore to experimentally and numerically investigate the effect of a 3D flow field with a radial flow component on aeroelastic stability and a formation of "stall flutter" for lower turbine blade loadings. Another important objective will be the development of a new aero-elastic model based on a neural network. This new model will be able to simulate extremely fast blade-fluid interaction problems while maintaining a complexity of the problem. The research will contribute significantly to a more accurate description of the effect of the 3D flow field on blade stability and to safer blade design for a wide range of loadining conditions.
Provider: Czech Science Foundation
Project leader: prof. Ing. Jan Vimmr, Ph.D., KME a VP3
Solution period: 2024–2026
CZ.02.01.01/00/22_008/0004590
Robotics and Advanced Industrial Production
Industrial production is undergoing a ground-breaking transformation with its recent commitment to making the vision of a customer-driven company a reality. This transformation leads to an increased number of variants and smaller lot sizes. At the same time, efficiency is a critical issue since the level of automation, used materials, robots' autonomy, and production plans are confronted with global competition. Therefore, we are faced with complex optimization problems since the production efficiency often contrasts with the high variability of the product, a component universality contrasts with its performance and price, etc. The growing complexity of industrial production, combined with quality and time-to-market requirements, creates new challenges for engineering practices. It will be required to implement more complex features while respecting uncertainty (e.g., badly identified parameters, human interaction, unknown or partially-observable environment) and restrictions (e.g., machine dynamics, desired performance, energy consumption, timeliness, distributed nature of the problem, resiliency, safety, and expected properties of sophisticated materials). This project aims at helping the Czech and European economies to move towards flexible and modern production. Mathematical modeling, data-driven approaches, simulation, optimization algorithms, and formal methods are gaining widespread acceptance in the industry. However, there is a lack of proper tools, simply due to the inexistence of appropriate background concepts, composable models, and high-performance algorithms. The objective of this project is to contribute to this effort while researching and developing advanced methods in two directions: Control and optimization for materials and production, Robotics and informatics for flexible production.
Provider: Ministry of Education, Youth and Sports - OP JAK - PO 1
Project leader: prof. Ing. Miloš Schlegel, CSc., VP1
Solution period: 2024–2028
CL01000275
Smart Depot: An evaluation ground for the confidence of AI algorithms usable for autonomous control of trams
The goal of the project is to design and test in a real environment methods for the analysis of AIbased safety-critical functions for localization and obstacle detection used in autonomous tram control. The project will develop an internal methodology (design rules) describing how and under what conditions these algorithms can be used, how to determine or ensure their reliability and safety, and how to test them. The research and development associated with the project is essential for the future deployment of autonomous vehicles in urban public transport. The project also includes the design of the solution, its implementation and testing in the framework of the Škoda Group's development project on the digitalisation of the tram depot. Based on LoI it covers solution testing in Tampere.
Provider: Technology Agency of the Czech Republic
Project leader: Ing. Lukáš Picek, Ph.D., VP1
Solution period: 2024–2026
FW10010525
Research and development unique technology of toning of anti-reflective glasses
This project focuses on the development of advanced PVD (Physical Vapor Deposition) coatings for 1.5 x 2 meter glass. The main goal of the project is to create unique and high-quality coatings that will provide not only anti-reflective properties, but also a decorative effect with the possibility of tinting in different colors. To achieve this goal, PVD technology will be used, which allows thin layers of material to be applied to the glass surface. The resulting coating will consist of up to 12 layers, designed to minimize light reflection while providing an aesthetically pleasing appearance.
Provider: Technology Agency of the Czech Republic
Project leader: prof. Ing. Jiří Houška, Ph.D., VP4
Solution period: 2024–2026
FW10010205
Energy Community Managing Platform (ECOMAP)
The main project objective is to develop a comprehensive prototype software platform solution for management, optimization and control of operation of energy communities
Provider: Technology Agency of the Czech Republic
Project leader: Ing. Martin Střelec, Ph.D., VP1
Solution period: 2024–2026
CZ.01.01.01/06/23_014/0001362
Control Valve Innovation
TechConcept s.r.o. has identified an opportunity to exploit the potential of new additive and laser technologies to innovate control valves for high pressure gradient mitigation. For the development of their internal parts, however, it did not have the necessary expertise in metal 3D printing, laser hardening or welding and numerical flow simulation. It therefore intends to acquire this knowledge by transferring it from University of West Bohemia in Pilsen, Department of Materials and Engineering Metallurgy and Department of Mechanics.
Provider: Ministry of Industry and Trade - OP TAK_PZT
Project leader: prof. Ing. Jan Vimmr, Ph.D., KME a VP3
Solution period: 2024–2025
CZ.01.01.01/01/22_002/0000471
Development of new solutions for smart care and development of quality in social services
The goal of the presented project of DelpSys s.r.o. is the research and development of a new solution for smart shared care and the development of quality in social services. The use of assistive technologies will enable the prevention of unwanted conditions/situations, monitoring and diagnosis of selected parameters, and the SW part of the system, using artificial intelligence and machine learning, evaluates, analyzes and presents proposed solutions for social care workers and informal caregivers. Multidisciplinary research and development within the presented project plans to achieve the following outputs: a functional sample of a portable module for monitoring the quality of work with a client at the bedside, a functional sample of the portable module "Weekly analytical case" and a SW module for smart shared care of the elderly. The resulting system will be intended for field social service providers, with a primary focus on services for the elderly. Research and development is based on the "human centered design" method, where individual parts and modules will be designed to ensure maximum friendliness for all actors involved. It aims not to burden the clients of social services (by the size or complexity of measuring devices), nor the workers of social services (guaranteeing the user-friendliness of applications in the system, support and motivation, simple communication between actors and clear records of information). The new solution for field social services will be among the unique ones on the Czech market. At the moment, there is no known competitor that would offer all the new functionalities as a single solution package. Successful commercialization of project outputs will strengthen the position of the applicant on the market and enable him to penetrate foreign markets. The outputs of the project also have positive social benefits - their use in practice supports the concept of shared care for the elderly in the home environment, increases the quality of their lives and the lives of informal caregivers. A new tool for planning, coordinating and evaluating home care for the elderly will be available for the social services sector, which improves the quality and efficiency of services. Ultimately, the pressure on social services is easing in the context of demographic ageing.
Provider: Ministry of Industry and Trade - OP TAK-APLIKACE
Project leader: Ing. Martin Dostal, Ph.D., Department of Computer Science and Engineering
Solution period: 2024–2025
CL01000181
Modular System for Quality Monitoring and Recalibration of Traffic Models using Artificial Intelligence
The project goal is to increase the accuracy and timeliness of the macroscopic four-stage unimodal traffic model with stochastic network allocation through industrial research and experimental development activities. The output is a modular SW tool for quality monitoring and subsequent recalibration of traffic models based on current data and with a module for short-term predictions in urban road transport. The solution is based on artificial intelligence tools and the evaluation of big data. The SW tool will be tested and validated in cooperation with an external application guarantor. The innovative solution will bring to municipalities and other entities involved in transport planning significantly improved SW tool for transport planning and management of urban systems.
Provider: Technology Agency of the Czech Republic
Project leader: Ing. Tomáš Mildorf, Ph.D., VP6
Solution period: 2024–2026
101158464
COLOSSE_Central European Platform for Plasma-Enabled Surface Engineering
COLOSSE connects Czech and Slovak research facilities in the area of plasma-enabled surface engineering at Masaryk University, Comenius University, and University of West Bohemia. The three research centres of COLOSSE have been supported by ERDF investment in several periods since 2010. They have been shaping and supporting their regional ecosystems over a decade, creating networks of interactions that facilitate knowledge transfer and exploitation of surface engineering technologies. They have also developed international connections – which, however, have led only to isolated cases of involvement in international R&I projects. The goal of COLOSSE is to increase the participation of Czech and Slovak plasma-enabled surface engineering R&I centres in Horizon Europe and future EU Framework Programmes for R&I.
Provider: EC - HEU
Project leader: doc. Ing. Pavel Baroch, Ph.D., VP4
Solution period: 2024–2027
TS01020075
Reduction of accessories on the steam turbine sealling systems (SEALSteam)
The project’s objective is to develop a methodology and appropriate software tools for the prediction and prevention of undesirable stator deformations caused by temperature differences between the sealing steam and the stator during turbine startup/shutdown. The proposed design modifications at both turbine ends will lead to reduced use of steam desuperheater, or external heater, along the sealing steam path. For the front sealing section, a 90 to 20 percent reduction of desuperheater application is expected. At the current desuperheater price of approx. 250,000 CZK, the expected results of the project should significantly reduce the turbine production cost. The results will also reduce the desuperheater use in the case of the rear sealing section, where a desuperheater is always applied.
Provider: Technology Agency of the Czech Republic
Project leader: prof. Ing. Jan Vimmr, Ph.D., KME a VP3
Solution period: 2024–2026
CZ.02.01.01/00/23_015/0008176
LINDAT/CLARIAH-CZ Equipment
The aim of the project is to modernize the equipment of the large research infrastructure LINDAT/CLARIAH-CZ so that this infrastructure can keep up with the ever-increasing demands for processing and storing large amounts of data the fields of linguistics, arts and humanities.
Provider: Ministry of Education, Youth and Sports - OP JAK - PO 1
Project leader: doc. Ing. Pavel Ircing, Ph.D., VP1
Solution period: 2024–2026
LUC24139
SUPERQUMAP: Topology and superconductivity in correlated materials with f-electrons
Strongly correlated quantum materials provide a fertile ground for novel quantum phases and unusual excitations. The goal of this research is to understand the nature of unconventional superconductivity in f-electron materials and its relationship to topological and Weyl superconductivity, as well as the practical implications for these materials in quantum information systems.
Provider: Ministry of Education, Youth and Sports - INTER-EXCELLENCE II
Project leader: doc. Mgr. Šimon Kos, Ph.D., Department of Physics
Solution period: 2024–2026
101168042
TRIFFID - auTonomous Robotic aId For increasing FIrst responDers efficiency
TRIFFID targets the development of an integrated approach for maximizing the efficiency of First Responders (FR) field operations, by advancing remote and smart robotic reconnaissance in disaster sites, while integrating it into European Civil Protection (CP) procedures. The project will deliver the following advancements: a) Hybrid, mobile legged UGV+UAV robotic platform for autonomous real-time reconnaissance in dynamic environments. The TRIFFID robots will receive orders in the field by a human FR crew. Yet, the platform will feature an impressive level of low-level cognitive autonomy, thanks to advanced AI, thus minimizing human supervision and freeing FRs from routine tasks. b) Central Ground-Station with an advanced Augmented Reality (AR) interface, managed by a human Operator. The TRIFFID Ground-Station will merge and display all collected information in near-real-time, providing the Operator with an accurate, interactive semantic map of the disaster site. c) Analysis of technological, operational, organizational and policy aspects in the context of the overall FR ecosystem. The design of the TRIFFID system and the specification of its exact capabilities will proceed by considering the current technological landscape, as well as the entire operational environment and organizational structure of FRs, so that effective disaster robotics solutions are gracefully integrated into CP infrastructure. d) FR training activities: The project will exploit complementary means for implementing and boosting the adoption of the TRIFFID system by FR personnel in their everyday activities, including the development of detailed training curricula, the organization of training exercises, knowledge transfer and skill acquisition activities, etc. e) SSH, robot acceptance and industrial engagement.
Provider: EC - HEU
Project leader: Ing. Martin Čech, Ph.D., VP1
Solution period: 2024–2027
101137787
FOCAL - Efficient Exploration of Climate Data Locally
In the FOCAL project, we aim to bridge the gap between climate and Earth System modeling data/services and stakeholder decision-making at the local level. Currently, climate and Earth System models produce vast amounts of data/services, which are primarily available to scientists and modeling experts. However, our challenge is to make this data/services accessible to stakeholders, such as farmers, foresters, and urban planners, who require better support in making use of the existing data and models for their local assessment challenges. With the availability of advanced technologies and high-performance computing (HPC) infrastructures, exciting new possibilities arise. We propose the development of several Web/Cloud-Apps for selected local impact assessments driven by the needs of end-users in the realm of forestry and urban planning. The data workflows and the graphical user interfaces and interactions will be specified in a co-design process to ensure more tailored and usable information from models and observations for the end-users. The AI and modeling experts of the FOCAL team will make these local impact assessments possible with the development of several innovative AI and statistical models. These models will be developed, trained, and deployed as Services Modules on the FOCAL Platform. EO data experts will take care of a smooth and efficient integration of EO data from existing services in this process. The FOCAL platform will support the complex tasks of big data integration, AI training, and scientific workflow execution with an intelligent workflow management and a high-performance computational infrastructure. This will make the assessments more cost-efficient, reliable, and faster to develop and execute.
Provider: EC - HEU
Project leader: Ing. Tomáš Mildorf, Ph.D., VP6
Solution period: 2024–2027
25-16495K
Coordinate-based representation of time-varying meshes
Current 3D capture technology acquires moving objects with high quality. However, theresulting data is temporally incoherent, since each frame is treated separately duringreconstruction, giving sequences of triangle meshes with changing connectivity, known as timevaryingmeshes (TVMs). While TVMs can model topology changes, it is very hard to establishcorrespondences between the individual frames, which is important for downstream tasks likecompression and editing. This project aims to overcome this limitation by investigating twonovel coordinate-based representations of TVMs. First, we will explore the use of barycentriccoordinates to describe the TVMs relative to a dynamic cage, which is itself a polyhedral meshof constant connectivity chosen such that it approximates the shape of the TVM in each frame.Second, we will study the use of geodesic distance coordinates with respect to a certain set ofpoints with time-invariant position relative to the observed shape. These coordinates areparticularly useful for objects that undergo near-isometric deformations.
Provider: Czech Science Foundation
Project leader: Doc. Ing. Libor Váša, Ph.D., VP2
Solution period: 2025–2028
25-17552S
Investigating Internal Resonances in Nonlinear Mechanical Systems with Multiple Autoparametric Couplings
The project investigates internal resonances in nonlinear mechanical systems with multiple autoparametric couplings, with the aim of developing and validating mathematical models to analyse their dynamic behaviour. Research questions explore effective methods for identifying internal resonance states, the qualitative interaction of multiple couplings, and the experimental validation of theoretical results. The main objective of this project is to achieve a comprehensive understanding of autoparametric systems with multiple autoparametric couplings and to validate the results obtained using the experimental apparatus that will be developed within the project. An in-depth analysis of the selected phenomenological models aims to understand the complex behaviour of autoparametric systems under coexisting internal and external resonances.
Provider: Czech Science Foundation
Project leader: Ing. Štěpán Dyk, Ph.D., KME a VP3
Solution period: 2025–2027
CZ.02.01.01/00/23_021/0008828
Integration of biomedical research and health care in the Pilsen metropolitan area
The aim of the project is a closer integration of biomedical research and health care with optimal transfer of research findings to the clinical level and ultimately improving health care in the Pilsen metropolitan area. On the basis of long-term international excellence, advanced instrumentation equipment and quality human resources, three research areas of interest have been selected: infectious diseases including antibiotic resistance, cancer treatment and tissue regeneration and obstetrics and reproductive medicine.
Provider: Ministry of Education, Youth and Sports
Applicant: Charles University, Faculty of Medicine in Pilsen
Project partners: UWB (NTIS, NTC), Bioptická laboratoř s.r.o., FN Plzeň
Programme: OP JAK - Intersectoral Cooperation for ITI
Project leader: Prof. Ing. Jiří Křen, CSc., KME a VP3
Project Budget: 74 961 000 Kč
Solution period: 2025–2028
CES734/2023
Storage, transfer and processing of large scientific and research financial data in the e-INFRA CZ environment
This project aims to design, validate and make available to e-INFRA CZ users a methodology for migration and efficient storage of big scientific-research financial data in an object data repository and their subsequent processing in the MetaCentre environment. Challenging computational experiments based upon deep learning and artificial intelligence methods will be performed on the big data of volume in the order of tens of terabytes. One of the main outputs will be a case study describing the implementation and management of these experiments.
Provider: CESNET Development Fund
Project leader: Doc. Ing. Jan Pospíšil, Ph.D., VP5
Solution period: 2023–2025
Final report: http://hdl.handle.net/11025/61737
