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Prof. Ing. Václav Šmídl, Ph.D.

Research fellow
Research interests
multivariate analysis, Bayesian filtering, recursive estimation, adaptive control
Publications ÚTIA


2001-2004  PhD student  in Trinity College Dublin, department of Electronics and electrical engineering. Defended thesis: The Variational Bayes approach in Signal Processing.


Czech Technical University: Hierarchical Bayesian Models


2004-now  ÚTIA, department of adaptive systems, research fellow

2010-now  UWB, Regional innovation center for electrical engineering, senior researcher

2018-now  CTU, Faculty of Electrical Engineering, senior researcher

2001-2004 Trinity College Dublin, PhD by research, EU projects MOUMIR and ProDacTool.

1999-2000 Sidat Praha, implementation of industrial control systems

Other sources:

Submitted by admin on
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…
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…
Stochastic decentralized control of distributed systems is studied from theoretical and algorithmic point of view. Decentralization is formalized by imposing conditional independence assumptions in…
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Ing. Ondřej Tichý Ph.D.