Congratulations to Lenka Kuklišová Pavelková!
Our colleague Lenka Kuklišová Pavelková has been appointed Associate Professor in the field of “Applied Informatics” upon the recommendation of the Scientific Council of the Faculty of Applied Informatics, Tomas Bata University in Zlín. Congratulations!
Congratulations to Adam Jedlička!
We are pleased to announce that our colleague Adam Jedlička has successfully completed his doctoral examination. Congratulations on this important achievement!
Seminar: Observing a Quantum Rat: When Belief Chases Reality
Observing a Quantum Rat: When Belief Chases Reality We present a simple toy model of a rat moving in a box, where the rat’s motion follows a quantum-inspired rule. At each time step, the rat selects its next position from a probability distribution that evolves under a fixed Hamiltonian. This defines the objective probability —the […]
InterCoML Conference – NextGen Synergy – Starts this Monday!
We 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 […]
IBM TechDay
Aleksej Gaj from the Department of Adaptive Systems attended IBM TechDay 2026 on March 26, 2026. The conference, titled “Technology Evolution in Practice,” showcased real‑world applications of modern technologies — including artificial intelligence, cybersecurity, and quantum‑safe architectures. Sessions gathered experts and practitioners, and featured special guest Aleš Svoboda, Czech Air Force fighter pilot and ESA […]
Seminar: Adaptive portfolio optimization
Adaptive portfolio optimization This thesis develops a Bayesian learning framework for autoregressive models with exogenous variables, and the proposed approach optimally selects a conjugate prior for unknown parameters, infers the model structure, and tracks parameter variations through a data-driven optimized forgetting algorithm. A multi-step decision policy design under quadratic loss, is formulated via feasible square-root […]
We co-found a new COST Action on Control Theory and Machine Learning
We are proud to announce that our department 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 […]
Best Junior Paper Award – 2025
Congratulations to our colleagues in the Best Junior Paper Award 2025 competition. 1st place was awarded to Marko Ruman for his paper „Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence Function“IEEE Access, vol. 12 (2024), pp. 177204–177218 3rd place was awarded to Antonie Brožová for her paper „Spatial-temporal source term estimation using […]
Seminar: Gaussian-process-based correction of bias in atmospheric inversion
Gaussian-process-based correction of bias in atmospheric inversion Accurate estimation of atmospheric release sources and their time profiles is essential for assessing the environmental impacts of incidents such as the emission of radionuclides from forest fires in Chernobyl in 2020 or the release of ruthenium in 2017, whose source has not been officially confirmed to this […]
Expert Meeting
A representative of our department attended an expert meeting on dual-use technologies held at the Ministry of Industry and Trade on 19 November 2025. The event brought together specialists to discuss prospects for dual-use applications within the National Research and Innovation Strategy for Smart Specialisation of the Czech Republic (National RIS3 Strategy).