Department of Adaptive Systems

Head
Doc. Ing. Tatiana Valentine Guy, Ph.D.
Deputy head
Ing. Miroslav Kárný, DrSc.
Mail
Phone
266052061
286890420
Publications ÚTIA
list

Logo of DAS

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.
Bc. 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. Lenka Kuklišová Pavelková Ph.D.
Bc. Soňa Molnárová
Bc. Pavla Hermína Neuner
Ing. Petr Pecha CSc.
Ing. Pavel Píša Ph.D.
Štěpán Pressl
Ing. Marko Ruman
Prof. Ing. Václav Šmídl Ph.D.
Ing. Ondřej Tichý Ph.D.
Ing. Petr Zagalak CSc.

Advanced Bayesian methods for estimation of atmospheric pollutant sources

-
Ing. Ondřej Tichý, Ph.D.
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…

Controllable gripping mechanics: Modelling, control and experiments

-
Ing. Květoslav Belda, Ph.D.

Dynamic distributed decision making: role of uncertainty

-
Doc. Ing. Tatiana Valentine Guy, Ph.D.
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…

Bayesian methods for non-linear blind inverse problems

-
Prof. Ing. Václav Šmídl, Ph.D.
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…

Distributed rational decision making: cooperation aspects

-
Doc. Ing. Tatiana Valentine Guy, Ph.D.
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…

Optimal Distributional Design for External Stochastic Knowledge Processing

-
Anthony Paul Quinn, Ph.D.
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…

Hierarchical models fordetection and description of anomalies

-
Prof. Ing. Václav Šmídl, Ph.D.
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…

Distributed rational decision making

-
Doc. Ing. Tatiana Valentine Guy, Ph.D.
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…

Bayesian regularization and inference for linear and bilinear models

-
Ing. Ondřej Tichý, Ph.D.
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…

Rationality and Deliberation

-
Ing. Miroslav Kárný, DrSc.

The systems described by partial differential equations with different types of delays

-
Prof. Oleksandr Rezunenko, Ph.D.

Source-Term Determination of Radionuclide Releases by Inverse Atmospheric Dispersion Modelling (STRADI)

-
Prof. Ing. Václav Šmídl, Ph.D.

Distributed dynamic estimation in diffusion networks

-
Doc. Ing. Kamil Dedecius, Ph.D.

Control of complex systems

-
Ing. Lubomír Bakule, CSc.

Fully Probabilistic Design of Dynamic Decision Strategies for Imperfect Participants in Market Scenarios

-
Ing. Miroslav Kárný, DrSc.
Ing. Antonie Brožová
Ing. Adam Jedlička
Ing. Zdenek Junek
Ing. Marko Ruman
Ing. Tereza Siváková
Ing. Vít Škvára

Artificial intelligence

Vysoká škola polytechnická Jihlava

Bayesian Methods for Machine Learning

Fakulta informačních technologií ČVUT

Decision Intelligence

Provozně ekonomická fakulta ČZU

Dynamic Decision Making 2

Fakulta jaderná a fyzikálně-inženýrská ČVUT

Dynamic Decision Making under Uncertainty 1

Fakulta jaderná a fyzikálně-inženýrská ČVUT

Dynamical systems

Vysoká škola polytechnická Jihlava

Julia for optimization and learning

Fakulta elektrotechnická ČVUT

Laboratoř statistického modelování

Fakulta informačních technologií ČVUT

Matematická analýza 1

Fakulta jaderná a fyzikálně-inženýrská ČVUT

Mechatronic systems and robotics

Vysoká škola polytechnická Jihlava
The GAMENET Conference 2019

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:

NIPS 2016 Workshop

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

ECML Workshop on Scalable Decision Making: Uncertainty, Imperfection, Deliberation

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

NIPS Workshop Decision Making with Multiple Imperfect Decision Makers

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.

NIPS Workshop Decision Making with Multiple Imperfect Decision Makers

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

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!

Naši vítězové v soutěži o nejlepší publikaci ÚTIA pro rok 2022

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

1. místo v kategorii Teorie

Ondřej Tichý was granted The Otto Wichterle Award

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

Jmenování Ing. Lubomíra Bakuleho, CSc. emeritním pracovníkem

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

Prémie Otto Wichterleho pro Kamila Dedecia
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.
Award in Rektorys competition
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".
L. Bakule' s article is recognized as one of the Top 25 papers published in Annual Reviews in Control in 2012
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!
Radek Hofman was awarded by the Czech Radiation Protection Society's Award

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.

Cena za 1. místo v soutěži disertačních prací v jaderných oborech
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.
2011 Award of Outstanding Statistical Application

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."

2011 Frank Wilcoxon Prize has been given to Adrian Raftery, Miroslav Kárný, and Pavel Ettler.

Miroslav Kárný and his co-authors A.Raftery (University of Washington) and P.Ettler (Compureg s.r.o.) were selected to receive the Frank Wilcoxon Prize for their paper: “Online prediction under model uncertainty via dynamic model averaging: application to a cold rolling mill” that appeared in the February 2010 issue of Technometrics. The Wilcoxon Prize is given to the best practical application paper appearing in the previous year's Technometrics.

Cenu Werner von Siemens získal Ondřej Tichý

Společnost Siemens a Fórum průmyslu a VŠ vyhlásili 13. ročník soutěže o nejlepší bakalářské, diplomové a doktorské práce „Cena Siemens – Werner von Siemens Excellence Award 2010“.

Granted patent on "Robotic Device" for UTIA

The fundament of the patent consists in a structural configuration of robotic device based on parallel kinematic concept enabling a specific connection of drives both rotational and only purely direct linear for its motion. Robotic device is intended for machining centers with top milling operations.
Inventor: Ing. Květoslav Belda, Ph.D.
        Department of Adaptive Systems