Institute of Information Theory and Automation

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Projects

Department: Duration: 2019 - 2021 Grantor: GACR
The project deals with design of novel methods for control of large-scale and multi-agent systems in presence of nonlinearities, quantizations and time delay, with a focus on systems controlled by communication networks. A special attention is paid to systems composed of identical subsystems.
Department: MTR Duration: 2019 - 2021 Grantor: GACR
The project aims at advancing the mathematical modeling of nonlinear mechanical phenomena described by large strain deformations in three different directions.
Department: E Duration: 2019 - 2021 Grantor: GACR
The goal of this Project is to study arbitrage opportunities on limit order markets with boundedly rational agents.
Department: SI Duration: 2019 - 2021 Grantor: GACR
The project is aimed at research in the field of stochastic partial differential equations (SPDEs), in particular, at the qualitative behaviour of solutions and optimal control thereof. Also, some related space-time systems (Brownian web) arising as a continuum limit of discrete random systems will be studied. More specifically, the following topics will be emphasized: 1.
Department: ZOI Duration: 2019 - 2021 Grantor: TACR
The aim of the VKG 3.0 project is a new system for the diagnosis of vocal disorders, consisting of a new type of multi-line video camera and data processing software.
Department: ZOI Duration: 2019 - 2020 Grantor: AV_CV
Bilateral cooperation with University of Antwerp: Separating the invisible from the visible: mixture analysis of macroscopic elemental maps of valuable paintings
Department: ZOI Duration: 2018 - 2022 Grantor:
PROVENANCE is an intermediary-free solution that gives greater control to users of social media and underpins the dynamics of social sharing in values of trust, openness, and fair participation. PROVENANCE will use blockchain to record multimedia content that is uploaded and registered by content creators or identified for registration by the PROVENANCE Social Network Monitor.
Department: AS Duration: 2018 - 2021 Grantor: MSMT
The proposed project aims to contribute to theoretical and algorithmic development of cooperation and negotiation aspects while respecting agent imperfection and deliberation. The targeted solution should be applicable to decentralised dynamic DM under complexity and uncertainty. It will support a single agent acting within a network of strategically interacting agents.
Department: ZS Duration: 2018 - 2021 Grantor: FG
The objective of FitOptiVis is to develop a cross-domain approach for smart integration of image- and video-processing pipelines for CPS covering a reference architecture, supported by low-power, high-performance, smart devices, and by methods and tools for combined design-time and run-time multi-objective optimisation within system and environment constraints.
Department: ZS Duration: 2018 - 2021 Grantor: FG
The WAKEMEUP project objective is to set-up a pilot line for advanced microcontrollers with embedded non-volatile memory, design and manufacturing for the prototyping of innovative applications for the smart mobility and smart society domains. The already defined microcontrollers with 40nm embedded flash technology will be consolidated to build a solid manufacturing platform.
Department: MTR Duration: 2018 - 2020 Grantor: GACR
This project is focused on systematic experimental investigation and theoretical description of nucleation and propagation of martensitic phase transformation via localized inhomogeneities in NiTi shape memory alloys, so-called transformation bands.
Department: E Duration: 2018 - 2020 Grantor: GACR
Multi-objective stochastic programming problems correspond to economic situations in which economic process is simultaneously influenced by a random environment and a decision parameter selected with respect to multi-objective optimization problem depending on the probability measure.
Department: MTR Duration: 2018 - 2020 Grantor: GACR
Our research effort follows the current challenging problems of portfolio analysis and energy finance. In particular, we shall investigate sparse robust portfolio selection problems with non-smooth objectives and analyze the joint effects of sparsity and robustification using real stock exchange data.

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