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Welcome to UTIA

The Institute of Information Theory and Automation (UTIA) is a public non-university research institution which administratively falls under the Czech Academy of Sciences. UTIA conducts fundamental and applied research in computer science, signal and image processing, pattern recognition, system science, and control theory. In addition to its research activities, UTIA is engaged in undergraduate, graduate, and postgraduate education. It also publishes the journal Kybernetika and acts as a certified forensic expert institution. UTIA consists of eight scientific departments, computer centre, library, facility maintenance department and business administration department. UTIA is managed by the Director and the Board.

Pod Vodárenskou věží 4
CZ-182 00, Prague 8
Czech Republic

more info: here
phone:+420 286890298
email: utia (a) utia.cas.cz

registry: podatelna@utia.cas.cz

ID of data box: tx7nvin

 

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Rada Ústavu teorie informace a automatizace Akademie věd České republiky, veřejné výzkumné instituce, vyhlašuje veřejné výběrové řízení na obsazení funkce ředitele pracoviště.

Požadavky:

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.

successfully completed his PhD studies at Czech Technical University in Prague, Faculty of Nuclear Sciences and Physical Engineering. On 24th February 2012 he defended his doctoral thesis "Probabilistic Compositional Models: solution of an equivalence problem" and he was awarded a Ph.D. degree in Mathematical Engineering.

Sergej Čelikovský received SICE 2011 Award for Outstanding Paper published in Transactions of the Society of Instrument and Control Engineers. This paper proposes and analyzes a successive approximation method for obtaining center manifolds with application to output regulation problem. Society of Instrument and Control Engineers (SICE) http://www.sice.jp/english/ is the recognized international society founded in Japan.

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.

Institut energetické ekonomie při Fakultě financí a účetnictví VŠE ocenil práci Mgr. Lukáše Váchy, Ph.D. a PhDr. Jozefa Baruníka, Ph.D.: Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis (http://www.sciencedirect.com/science/article/pii/S0140988311002350) a udělil jim Cenu za nejlepší práci z oblasti energetické ekonomie v roce 2011.

Místo konání: Pod Vodárenskou věží 4, Praha 8
Datum a doba otevření: 7. a 8. listopadu, 9:00 až 16.00,
Kontakt: Dr. Ing. Lubomír Soukup, tel.: 266 052 551, e-mail: soukup@utia.cas.cz

Prosíme návštěvníky o oznámení jejich zájmu o exkurzi s předstihem alespoň den předem.

více informací
obhajil dne 6. října 2011 v 17:00 hod na FSV UK, Opletalova 26 doktorskou disertační práci na téma Wavelet-based Realized Variation and Covariation Theory

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."

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.