Blažek

RNDr. Jan Blažek, Ph.D.

ksicht

Position: postdoc
Phone: +420 26605 2864
Email:
Room: 23
Address: ÚTIA AV ČR, Pod Vodárenskou věží 4, CZ-182 08, Praha 8, Czech Republic
Research interests: Multimodal data processing, artificial intelligence, neural networks, genetic algorithms, underdrawing detection, change detection, art restoration, cloud computing
Publications: list

Details:


Education

Vocational school of craft and art
Vocational certificate, Artistic blacksmith and locksmith, 2006 - 2008

Charles University in Prague, Faculty of Mathematics and Physics
Master’s degree, Artificial Intelligence, 2004 - 2009
Ph.D., Image Processing, 2009 - 2018

Research fellowship

  • National Institute of Optics - Consiglio Nationale di Recherche
  • Opificion delle Pietre Dure
  • Department of Information Engineering - Universita Degli Studi Firenze

Projects


R&D of technologies for determination of dimensions and 3D profiles of high precision for machine components in high-radiation and underwater locations with focus on VVER reactors

Duration: 2021-2023

Members: Centrum výzkumu Řež s.r.o.

Web pages: TAČR


Detekce a predikce abnormálních provozních stavů technologických zařízení

Duration: 2021

Members: Centrum výzkumu Řež s.r.o., Roman Aldorf, Jaroslav Brom, Jan Blažek


Methods for multimodal image processing based on mathematical models of optical properties of paint materials for artwork analysis

Duration:2011-2014

Web pages:http://www.utia.cas.cz/projects/1793

Members:ALMA (Academic Materials Research Laboratory of Painted Artworks),
ZOI UTIA of the CAS (dep. of Image Processing, Institute of Information Theory and Automation Academy of Sciences Czech Republic)

Supervised students:

PhD students:

  • Tomáš Karella - Image processing for material research in nuclear energetics

Diploma theses (finalized):

  • Ondřej Novák (2022) - Registration and determination of deformed point cloud errors
  • Jan Palášek (2021) - Detection of grids on nuclear fuel set images
  • Adam Harmanec (2021) - Registration of images of nuclear fuel assembly
  • Jaroslav Knotek (2020) - Automation of nuclear fuel visual inspection
  • Jakub Tuček (2019) - CLI for grid network MetaCentrum
  • Hubert Kindermann (2014) - Optical Character Recognition at Camera Captured Images
  • Radek Fürbach (2013) - Methods for Localization of Image Differences in Different Modalities of Paintings

Bachelor theses (finalized):

  • Adam Harmanec (2019) - Traffic sign classification by deep learning (Bc.)
  • Petr Bambušek (2015) - Agent for playing Texas Hold’em poker
  • Lukáš Machalík (2015) - Application for on-line tracking of racers during a race
  • Jakub Hajič (2014) - Extracting Control Points from Image Pairs for Perspective Transformation
  • Jiří Mareš (2012) - Classification of earth colours
  • Hubert Kindermann (2011) - Character recognition of machine-written documents

Theses in progress:

  • Matyáš Lamprecht (2022) - Sequential analysis of transaction data



Supervised doctorands: