Institute of Information Theory and Automation

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Department: ZS Duration: 2022 - 2025 Grantor: FG
Project HiPE brings together 13 participants covering the whole value chain, to develop a new highly energy-efficient, cost-effective, modular, compact and integrated wide bandgap (WBG) power electronics solutions for the next generation of battery electric vehicles (BEV), and to facilitate a significant market penetration of WBG in the automotive sector.
Department: ZOI Duration: 2022 - 2025 Grantor: FG
At a time of cloud computing and cyber-physical systems like computer-assisted driving, software complexity is growing faster than the rate of improvement in related quality assurance techniques. The ERC-funded VAMOS project will develop monitoring software to identify potential vulnerabilities, errors, and unfair decisions at runtime.
Department: AS Duration: 2022 - 2026 Grantor: FG
The aim of the project is to promote understanding of complex interactions and the dynamics of decision making (DM) under complexity and uncertainty. The theory under consideration should be applicable to dynamic DM and interaction within a flat structure without any coordination. It will support modelling a living agent acting within a complex network of interacting heterogeneous agents.
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: SI Duration: 2022 - 2024 Grantor: GACR
The project is aimed at research in the field of stochastic systems in infinite dimensions, especially stochastic partial differential equations with non-Markovian and non-Gaussian noise terms. The main goal is to study basic properties thereof, in particular, the existence, uniqueness and regularity in time and space.
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: 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: 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: ZOI Duration: 2021 - 2023 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.