Institute of Information Theory and Automation

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Projects

Department: MTR Duration: 2019 - 2021 Grantor: GACR
The aim of the project is to apply the methods of polyhedral geometry to solve mathematical problems with motivation in statistics and artificial intelligence.
Department: E Duration: 2019 - 2023 Grantor: GACR
The recent availability of large digital finance datasets brings new challenges to quantitative finance. Many of the classical financial econometric or optimization models become inappropriate or intractable when applied to digital finance data.
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: TR Duration: 2019 - 2021 Grantor: GACR
The aim of the project is to find new procedures and methods that allow the efficient synchronization and the decentralized control of complex networks, especially the elimination of some influences, for example, the time delays, quantization, change of the behavior of nodes, loss of connection, etc.
Department: TR 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: 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: 2018 - 2021 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: MTR Duration: 2018 - 2020 Grantor:
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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