News
29/04/2026 Interview with Igor Velčić: Applied Mathematics, Homogenization, and Thin Structures
04/05/2026In April, we welcomed Igor Velčić from the University of Zagreb, (Faculty of Electrical Engineering and Computing) to our institute. During his visit, we discussed his research in applied mathematics, focusing on homogenization and modeling of thin and composite structures. In the interview, he explains how mathematical models help us understand complex materials and systems—from engineering structures to medical applications such as stents, small mesh-like devices used to improve blood flow.
Read moreMartin Kružík awarded CISM–Città di Udine International Research Fellowship 2026
29/04/2026Prof. Martin Kružík from the Department of Decision-Making Theory (UTIA), Czech Academy of Sciences, has been awarded the 2026 CISM–Città di Udine International Research Fellowship together with Prof. Giuseppe Tomassetti (Roma Tre University, Italy). The fellowship is granted by the International Centre for Mechanical Sciences (CISM), an international research and training centre based in Udine, Italy, which supports advanced research and collaboration in mechanics and related fields. The awarded project, “Dimension Reduction for Magnetoelastic Composites: Rigorous Derivation of Rod Models via a Single-Field Formulation,” focuses on theoretical aspects of magnetoelastic materials and contributes to the understanding of their behavior through rigorous mathematical modeling.
Read more04/30/2026 MTR seminar: Geometry-oriented Measures of Dependence
24/04/2026The Department of Decision-Making Theory is organizing a seminar featuring Dr. Anatoly Khina from Tel Aviv University (School of Electrical Engineering). The seminar will take place on April 30, 2026, at 14:00 in room no. 203. Abstract: One of the fundamental problems of statistics and data science is identifying and measuring dependence. This problem dates back to the works of Bravais, Galton, and Pearson in the 18th century on dependence measure design, and to the work of Rényi in the late 1950s on axiomatizing the desired properties of such measures. For discrete random variables, categorical dependence measures—primarily those based on Shannon's mutual information and entropy, and maximal correlation—are valid choices when only the information content is important. However, when some possible underlying physical interpretation is of the essence, other measures need to be sought after. Consequently, much effort has been put into both the design and property axiomatization of such de
Read moreCall for Papers: BEYOND DETECTION Workshop at ICIP 2026
09/04/2026We are pleased to announce a call for papers for the satellite workshop “Beyond Detection: Uncertainty, Quality, and Multi-Source Reasoning for Operational Multimedia Forensics”, organized in conjunction with ICIP 2026. The workshop focuses on advancing trustworthy and operational multimedia forensics systems. Contributions are encouraged to go beyond binary fake/not-fake decisions by addressing confidence estimation, robustness to real-world distortions, multi-source evidence fusion, and evaluation under realistic unseen conditions.
Read more4/29/2026 International Conference D.A.R. Continuum in Prague
08/04/2026On April 29, 2026, the international conference D.A.R. Continuum will take place, focusing on the interconnection of data, artificial intelligence, automation, and robotics. The event will be held at the premises of CIIRC ČVUT in Prague. It will address current trends in digital transformation and their impact on scientific research and industrial practice. The panel discussion on Science for AI and AI for Science will feature Barbara Zitová from the Department of Image Processing at the Institute of Information Theory and Automation of the Czech Academy of Sciences.
Read more3/16/2026 Prof. Václav Skala successfully defended his DSc Thesis
20/03/2026On March 16, 2026, Prof. Václav Skala from the University of West Bohemia successfully defended his DSc Thesis entitled “Meshless Methods in Computer Graphics.” The DSc title (Doctor of Science) is the highest scientific degree awarded by the Czech Academy. The defense took place in front of the Committee for Computer Science and Cybernetics, chaired by Prof. Jan Flusser (UTIA). The Thesis focused on computational aspects of Radial basis functions (RBF) and their applications in surface interpolation.
Read more3/10/2026 Department of Control Theory Visits Leading 3D Printer Manufacturer Prusa Company
18/03/2026On March 10, researchers from the Department of Control Theory took the opportunity to visit the leading 3D printer manufacturer Prusa at its headquarters in Prague–Holešovice. In addition to a general introduction to the development of this authentic Czech manufacturer, employees of the Czech Academy of Sciences received expert insights from the heads of mechanical design and software development. This was followed by a guided tour of selected facilities featuring unique production technologies.
Read more3/10–12/2026 Signal Processing Department at Embedded World
16/03/2026Researchers from the Signal Processing Department of the Institute of Information Theory and Automation of the Czech Academy of Sciences participated in the exhibition part of the embedded world Exhibition & Conference 2026, held from 10 to 12 March 2026 in Nuremberg, Germany.
Read more4/27-30/2026 Conference NextGen Synergy: Control Theory & Machine Learning
11/03/2026We are proud to announce the inaugural conference of COST Action CA24136! The NextGen Synergy: Control Theory & Machine Learning conference aims to bridge the gap between Control Theory (CT) and Machine Learning (ML), two dynamic fields that are increasingly intersecting. A broad array of topics will be discussed, including but not limited to the following: Strengthening control-theoretical foundations Leveraging machine learning for control theory challenges Developing hybrid and data-driven models Translating theory into practical solutions The conference aims to cultivate interdisciplinary collaboration among experts in mathematical analysis, numerical mathematics, control engineering, computer science, and machine learning. By integrating diverse knowledge, it will stimulate cross-sector dialogue and break down communication barriers.
Read moreWe are co-founder of the COST Action Interactions between Control Theory and Machine Learning
27/02/2026We are proud to announce that Department of Adaptive Systems is a co-founder of the recently launched COST Action CA24136: Interactions between Control Theory and Machine Learning (InterCoML). Securing this grant was a significant milestone, as the proposal was among the elite 8.3% of applications selected for funding. InterCoML aims to advance research at the intersection of control theory and machine learning by fostering structured collaboration between academic institutions and industrial partners across Europe. The initiative will support the development of new theoretical foundations, methodologies, and applications in these rapidly evolving fields.
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