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Lukáš Krauz

e-mail: krauzluk@fel.cvut.cz
office: T2:B3:556
phone: +420 2 2435 2026

Position:

  • Assistant professor

Degrees:

  • Ph.D.: 2024, Czech Technical University in Prague, Faculty of Electrical Engineering
    • Doctoral Thesis: Hyperspectral Imaging in VIS – IR
    • Supervisor: Prof. Mgr. Petr Páta, Ph.D.
  • Ing. (M.Sc.): 2019, Czech Technical University in Prague, Faculty of Electrical Engineering
    • Diploma Thesis: Cloud Detection Based on Colour Space Information from All-sky Cameras
    • Supervisor: Mgr. Martin Blažek, Ph.D.

Networks:

  • ORCID: 0000-0002-0959-4242
  • Web of Science ResearcherID: AAE-1258-2022
  • Scopus ID: 57217145907
  • Google Scholar: Lukáš Krauz
  • ResearchGate: Lukáš Krauz

Research area:

  • Imaging Photonics
  • Image Processing
  • Hyperspectral Imaging

Teaching:

  • Applied Optics (BAB37APO)
  • Imaging Photonics (B2M37OBFA)
  • Image Technology (B2M37OBT, BE2M37OBT)
  • Optical instrumentation (17PMBOPT)

Bachelor and Master Projects for students:

Topics exmaples: Hyperspectral imaging, Acousto-optics, Measurements and tests in the laser laboratory, Hypersepctral image processing, Machine learning for hyperspectral data, Hyperspectral data compression, All-sky imaging, Meteorological imaging, Astronomical imaging, etc.

All projects at https://intranet.fel.cvut.cz/cz/education/semestralni-projekty.html?supervisor=krauzluk

If you are interested or cannot find a suitable topic, please contact me at my email (krauzluk@fel.cvut.cz).

Participation in projects:

  • IRCAPOL – IR Polarization Camera and Acousto-Optic Tuneable Filter for Hyperspectral Imaging Development for LWIR Applications, European Space Agency (ESA).
    • 2013 – 2025,
    • Team member
  • Meteor clusters: An evidence for fragmentation of meteoroids in interplanetary space, GA20-10907S – Czech Science Foundation (GAČR)
    • 2020-2023
    • Team member
  • IAPETHOS-2 – Infrared Advanced Polarizer for Space and Other Applications – 2, European Space Agency (ESA).
    • 2018 – 2021,
    • Team member
  • CALIOPE – Calomel-Based Thermal-Infrared Optical Acousto-Optical Tunable Filter Breadboarding, European Space Agency (ESA).
    • 2018 – 2020,
    • Team member
  • SGS23/186/OHK3/3T/13 – Acquisition, processing, and display techniques for extended multidimensional imaging modalities, Grant Agency of the Czech Technical University in Prague.
    • 2023-2025,
    • Team member
  • SGS20/179/OHK3/3T/13 – Modern Optical Imaging Systems with Non-linear Point Spread Function and Advanced Algorithms for Image Data Processing, Grant Agency of the Czech Technical University in Prague.
    • 2020 – 2022,
    • Proposer
  • SGS18/141/OHK3/2T/13 – Analysis and advanced algorithms for ultra-wide imaging systems, Grant Agency of the Czech Technical University in Prague.
    • 2018 – 2019,
    • Team member

List of Publications:

2024
  • Mach, J., Krauz, L., Páta, P., & Halecký, M. (2024). Development of low-cost multifunctional robotic apparatus for high-throughput plant phenotyping. Smart Agricultural Technology, 9, 100654. https://doi.org/10.1016/j.atech.2024.100654
2023
  • Bednář, J., Krauz, L., Páta, P., & Koten, P. (2023). Meteor cluster event indication in variable-length astronomical video sequences. Monthly Notices of the Royal Astronomical Society, 523(2), 2710-2720. https://doi.org/10.1093/mnras/stad1578
2022
  • Krauz, L.; Páta, P.; Kaiser, J. Assessing the Spectral Characteristics of Dye- and Pigment-Based Inkjet Prints by VNIR Hyperspectral Imaging. Sensors 2022, 22, 603. https://doi.org/10.3390/s22020603
  • Krauz, L., Páta, P., Bednář, J., Klíma, M., & Janout, P. (2022). Broadband Wollaston prism with a large output beam separation based on mercurous halides. Optics Express, 30(26), 47388-47403. https://doi.org/10.1364/OE.477544
2021
  • Krauz L.; Páta P.; Bednář J.; Klíma M. Quasi-collinear IR AOTF based on mercurous halide single crystals for spatio-spectral hyperspectral imaging. Optics Express 29, 12813-12832 (2021). https://doi.org/10.1364/OE.420571
2020
  • Krauz, L.; Janout, P.; Blažek, M.; Páta, P. Assessing Cloud Segmentation in the Chromacity Diagram of All-Sky Images. Remote Sens. 2020, 12, 1902. https://doi.org/10.3390/rs12111902

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