Scientific area: Neurosience / NonInvasive Brain Stimulation Research objective: utilizing non-invasive brain stimulation for life enhancement, specifically, the use of a combination of behavioural tasks, state-of-the-art methods of non-invasive transcranial stimulation to improve cognitive function Staff RNDr. Eugen Kvašňák, Ph.D. Mgr. Mária Orendáčová Wiam Al Quasem, M.Sc. Ing. Mohammad N. H. Abubaker Selected publications Kvasnak […]
The general focus of our research forms the problem of efficient management of multi-mode data. The combination of data with different models and formats with naturally contradictory features brings many challenges to all related aspects. In particular, we focus on the problem of unified modelling and representation of multi-model data and management of its evolution. […]
One of the goals of our research is to highlight problems with data interoperability and data management and establish a data-centric ecosystem where ontologies play a primary role and all other technical artifacts such as data models, data schemas, data collection forms, data transformations, and even simpler data visualization applications are automatically generated based on […]
Research project: Structural bioinformatics Our research in bioinformatics focuses on the development of software tools applicable mainly in the domain of structural bioinformatics and visualization. These include tools for protein binding site detection, with the application in computational drug discovery, or tools for visualization of the structure of macromolecules. All our methods are implemented as […]
The project is an EU-funded COST Action, and started on 28 October 2019, with a 4-year duration. The main aim of the Action is to promote synergies across Europe between linguists, computer scientists, terminologists, and other stakeholders in industry and society, in order to investigate and extend the area of linguistic data science. Coordinator Jorge […]
The 3-year project, as part of the EU CHIST-ERA co-fund (with TAČR as the funding body for the Czech partner) will start in March 1, 2021. Explainability is of significant importance in the move towards trusted, responsible and ethical AI, yet remains in infancy. Most relevant efforts focus on the increased transparency of AI model […]
Support of medical care requires new skills related to effective control of applied medication and methods of treatment, elimination of mutually exclusive medical opinions. There are available technologies to facilitate continuous patient monitoring, including the generation of warning signals, enabling real-time decision support (at the bedside) as well as the ability to dynamically respond to […]
We study the visual system through large-scale detailed biophysical modelling as well as application of machine learning techniques on neuroscientific data. Recently, we have also begun to apply our expertise in the field of visïon restoration through neural implants in the retina or cortex. The goal of theresearch is to identify computations implemented in the […]