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Prof. Ing. Václav Šmídl, Ph.D.

Position
Research fellow
Mail
Room
Phone
266052420
Research interests
multivariate analysis, Bayesian filtering, recursive estimation, adaptive control
Publications ÚTIA

Education:

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

Teaching:

Czech Technical University: Hierarchical Bayesian Models

Employment:

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:

scholar.google.com
ResearchGate

Submitted by admin on
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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…
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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…
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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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