Institute of Information Theory and Automation

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Projects

Department: ZOI Duration: 2022 - 2025 Grantor: TACR
The project addresses AI forensic data mining - a new SW platform for detecting objects of interest based on complex spatio-temporal relationships with object attributes and indexed relationships. It will enable AI training directly in the forensic environment using semi-automatic and weakly supervised learning.The lack and accessibility of training data will be considered.
Department: RO Duration: 2022 - 2024 Grantor: GACR
Real-world comprises thousands of materials having different surface appearances.
Department: SI Duration: 2022 - 2024 Grantor: GACR
We shall study and develop aggregations of two or more research methodologies, optimal with respect to the observed data, in order to reach the most accurate conclusion. The task is also to aggregate adequately several available datasets. We shall follow mainly applications in economics, business and insurance.
Department: MTR Duration: 2021 - 2024 Grantor: GACR
The goal of this project is the quantitative analysis of carbon reduction policies, namely Carbon Tax and Cap and Trade. For each of these policies, an optimal control model will be formulated; for Carbon Tax, the tax rate will serve as the control, for Cap and Trade, the controls will include the amounts of freely allocated allowances and the timing of their auctioning.
Department: ZS Duration: 2021 - 2024 Grantor: FG
The main objective of the storAIge project is the development and industrialization of FDSOI 28nm and next generation embedded Phase Change Memory (ePCM) world-class semiconductor technologies, allowing the prototyping of high performance, Ultra low power and secured & safety System on Chip (SoC) solutions enabling competitive Artificial Intelligence (AI) for Edge applications. The main cha
Department: MTR Duration: 2021 - 2024 Grantor: GACR
We will propose a mathematically lucid setting for the derivation of reduced models from nonlinear continuum thermomechanics. We will justify linearized models in thermoviscoelasticity and viscoplasticity as limits of the nonlinear deformation theory employing variational convergence.
Department: ZOI Duration: 2021 - 2024 Grantor: GACR
The project aims at developing a conceptually novel approach to inverse problems by proposing a unified theory of invariants to integral transformations using projection operators, and applying it to image restoration and classification problems in biomedical imaging and robotics.
Department: Duration: 2021 - 2023 Grantor: GACR
Project will be devoted to the investigation of novel concepts for the analysis and design of nonlinear controllers of flexible and chained mechanical systems to either compensate or control efficiently their oscillatory modes and limit cycles.
Department: MTR Duration: 2021 - 2022 Grantor: MSMT
We will propose a mathematically lucid setting for the derivation of reduced models from nonlinear continuum thermomechanics. We will justify linearized models in thermoviscoelasticity and viscoplasticity as limits of the nonlinear deformation theory employing variational convergence.
Department: MTR Duration: 2021 - 2025 Grantor: GACR
The aim of the project is to develop analytical tools to support the investigation of the locomotion of soft-bodied animals and robots, with a focus on limbless locomotion. Topics such as stabilization to limit cycles, optimal control and multiscale models will be studied.
Department: SI Duration: 2021 - 2023 Grantor: GACR
We want to conduct some meaningful and fruitful research into multivariate nonparametric econometrics.
Department: E Duration: 2020 - 2021 Grantor: TACR
Cílem projektu je vytvoření softwarového nástroje pro simulaci sociálních vazeb a protiepidemických opatření, který umožní porovnat efektivitu opatření s jejich dopadem na život jednotlivce i společnosti. Jádrem tohoto nástroje je síťový model dosavadního šíření COVID-19 v ČR.
Department: ZOI Duration: 2020 - 2021 Grantor:
Řešení automatické analýzy spadu v úlech za účelem detekce Varroa pomocí metod digitálního zpracování obrazu
Department: ZS Duration: 2020 - 2022 Grantor: FG
The EIT Urban Mobility Doctoral Training Network is a collective of universities, academics, and PhD candidates that seeks to promote innovation and entrepreneurship in the field of urban mobility based on the knowledge triangle (education, research, and business).

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