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Department of Adaptive Systems

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Publications ÚTIA

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The Department of Adaptive Systems focuses predominantly on the design of decision-making systems, which modify their behavior according to the changing properties of their environment. This essential ability – adaptivity – enhances their efficiency. Decades of research have brought a number of conceptual, theoretical, algorithmic, software and application results. The applicability of adaptive systems is currently being extended toward complex scenarios by improving the classical adaptive systems and by developing their new versions.

The departmental “know-how” serves to resolve national as well as international research projects, running in collaboration with industry and government agencies. The interplay between theory and limited computing power is the common issue linking the various project domains. They include traffic control, management and control of technological systems, radiation protection, nuclear medicine, analysis of financial data, electronic democracy, etc. The increasing complexity of the problems addressed directs the main stream of the research toward decentralized control of large-scale systems and normative decision-making with multiple participants.

Honoring deceased members of the Department of Adaptive Systems

Submitted by admin on
Ing. Lubomír Bakule CSc.
Ing. Květoslav Belda Ph.D.
Ing. Josef Böhm CSc.
Ing. Antonie Brožová
Doc. Ing. Kamil Dedecius Ph.D.
Dr. Siavash Fakhimi Derakhshan Ph.D.
Ing. Aleksej Gaj
Doc. Ing. Tatiana Valentine Guy Ph.D.
Ing. Jitka Homolová Ph.D.
Ing. Adam Jedlička
RNDr. Ladislav Jirsa Ph.D.
Ing. Miroslav Kárný DrSc.
Ing. Dita Klepková
Ing. Lenka Kuklišová Pavelková Ph.D.
Bc. Soňa Molnárová
Ing. Petr Pecha CSc.
Ing. Pavel Píša Ph.D.
Štěpán Pressl
Ing. Marko Ruman
Ing. Jurij Ružejnikov
Prof. Ing. Václav Šmídl Ph.D.
Ing. Ondřej Tichý Ph.D.
Ing. Petr Zagalak CSc.

Dne 6. června 2023 na veřejném zasedání vědecké rady Fakulty elektrotechnické ZČU přednesl náš kolega Václav Šmídl úspěšně profesorskou přednášku na téma  "Machine learning in electrical machine modeling and design". Blahopřejeme!

V soutěži o nejlepší publikaci ÚTIA zvítězily dva články autorů z oddělení Adaptivních systémů.

1. místo v kategorii Teorie

Twenty three exceptionally outstanding young scientists were granted The Otto Wichterle Award, an honour given by the Czech Academy of Sciences. One of them is Ing. Ondřej Tichý, Ph.D. from Adaptive Systems Deparment.
Eva Zažímalová, the President of the Czech Academy of Sciences, has given the Otto Wichterle Award in villa Lanna in Prague.

Details here

Ing. Lubomír Bakule, CSc. byl jmenován emeritním pracovníkem ÚTIA AV ČR, za jeho přínos k rozvoji ústavu a vědního oboru Decentralizované řízení složitých systémů.

Předseda Akademie věd ČR udělil na základě doporučení komise prémii Otto Wichterleho pro rok 2015 mladým nadějným vědeckým pracovníkům AV ČR. Mezi oceněnými je také Kamil Dedecius z oddělení Adaptivních systémů, UTIA.
Ondřej Tichý from Adaptive systems has been awarded the 1st place in the 7th annual Rektorys competition in applied mathematics organized by Department of mathematics, FSv ČVUT, for the work "On Sparsity in Bayesian Blind Source Separation for Dynamic Medical Imaging".
The article Decentralized control and communication by L. Bakule is recognized by ScienceDirect as one of the Top 25 papers published in Annual Reviews in Control in 2012. Congratulations!

Czech Radiation Protection Society awarded prize for the best work of young authors in the field of protection against ionizing radiation to Ing. Radek Hofman, Ph.D. from AS department of the Institute of Information Theory and Automation for his PhD thesis.

Ústav jaderného výzkumu Řež a.s. a Česká nukleární společnost ocenily disertační práci s názvem "Application of Advanced Data Assimilation Methods in Off-site Consequence Assessment" Ing. Radka Hofmana, Ph.D. cenou za 1. místo v soutěži disertačních prací v jaderných oborech.

The 2011 Outstanding Statistical Application Award of American Statistical Association has been presented to Miroslav Kárný and his co-authors A. Raftery (University of Washington) and P. Ettler (Compureg s.r.o.). This award recognises "extending Bayesian methods for model uncertainty to temporally evolving systems and showing how these ideas can be successfully applied to solving a challenging problem in a continuous manufacturing system."

Inspirative environment for regular meetings not only young generation where you can share your ideas and thoughts. 

Room 474, start 14.00 h

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Quantification of sources of atmospheric pollutants is crucial for regulatory purposes as well as for atmospheric science in general. Due to many physical limitations in observation and modeling, the…
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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…
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Blind inverse problems (i.e. inverse problems with unknown parameters of the forward model)
are well studied for models with uniform grids, such as blind image deconvolution or blind signal…
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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…
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Optimal processing of distributed knowledge is key agenda in machine learning, signal processing and control, driven by sensor networks for smart environments, autonomous agents and distributed…
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Anomaly detection, which aims to identity samples very different from majority, is an important tool of unsupervised data analysis. Currently, most methods for anomaly detection use relatively simple…
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Objective of the project is to contribute to theoretical and algorithmic development of cooperation and negotiation under complexity and uncertainty. The desired theory should be applicable to…
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Linear and bilinear models arise in many research areas including statistics, signal processing, machine learning, approximation theory, or image analysis. In cases when the problem of interest is…
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Differential equations form a tool that is frequently used for describing a great variety of dynamical systems.
The developed theory of differential equations gives a possibility to study…
Ing. Antonie Brožová
Ing. Adam Jedlička
Ing. Zdenek Junek
Ing. Marko Ruman
Ing. Tereza Siváková
Fakulta informačních technologií ČVUT
Fakulta informatiky a statistiky VŠE
Fakulta informačních technologií ČVUT
Vysoká škola polytechnická Jihlava

The aim of this event concluding the second year of COST Action European Network for Game Theory GAMENET is to present, discuss and share the progress on research made in the working groups of GAMENET:

An international workshop in conjunction with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016)

IMPERFECT DECISION MAKERS: ADMITTING REAL-WORLD RATIONALITY

December 9, 2016, Barcelona, Spain

An international workshop in conjunction with

the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013)

Scalable Decision Making: Uncertainty, Imperfection, Deliberation (SCALE)

September 23, 2013, Prague

more info: www.utia.cz/NIPSHome

You are invited to participate in the NIPS Workshop DECISION MAKING WITH MULTIPLE IMPERFECT DECISION MAKERS in conjunction with the 25th Annual Conference on Neural Information Processing Systems, which is the premier scientific meeting on neural computation.

more info: www.utia.cz/NIPSHome 

NIPS Workshop DECISION MAKING WITH MULTIPLE IMPERFECT DECISION MAKERS at the 24th Annual Conference on Neural Information Processing Systems successfully took place. 

The Workshop proceedings can be found here.

10th International PhD Workshop, Young Generation Viewpoint took place. Presentations from this workshop are on http://as.utia.cas.cz/phd2009.