Doc. Ing. Ondřej Tichý, Ph.D.

Research associate

Ondřej Tichý
otichy@utia.cas.cz 266052570
Department: Department of Adaptive Systems
Research interests: Bayesian approximation and statistics, Modeling of uncertainty, Inverse problems in atmosheric modeling, Blind source separation, Medical image analysis

Biography

Publication list

Academic Background

  • Associate Professor, Computer Science, Czech Technical University (CTU), Faculty of Informatics, 2024

  • Ph.D., Mathematical Engineering, CTU, Faculty of Nuclear Sciences and Physical Engineering, 2015

    • Dissertation: Bayesian Blind Source Separation in Dynamic Medical Imaging

  • M.Sc. & B.Sc., Engineering Informatics, CTU, Faculty of Nuclear Sciences and Physical Engineering, 2010

  • B.Sc., Technical Teacher Education, CTU, 2013

Professional Roles

  • Institute of Information Theory and Automation, CAS
    (Since 2010: PhD student → PostDoc → Research Associate)

  • National Radiation Protection Institute
    Research engineer (part-time, since 2013)

  • Faculty of Informatics, Czech Technical University
    Associate Professor (external lecturer since 2018)

  • Former lecturer at CTU’s Faculty of Nuclear Sciences and Physical Engineering and College of Polytechnics Jihlava

Research Projects (Selected)

  • PI: Advanced Bayesian Methods for Atmospheric Pollutant Source Estimation (GA24-10400S, 2024–2026)

  • Source Term Estimation Tool for CTBTO (2023)

  • Atmospheric transport modeling (TAČR TK01010142, 2018–2020)

  • Multiple projects on Bayesian regularization, image deconvolution, and inverse modeling

Awards and Honors

  • Otto Wichterle Award (2019)

  • Best Paper Awards at UTIA (2015, 2018, 2021)

  • Werner von Siemens Award (2010)

  • Multiple scholarships and recognition for academic excellence

Research Focus

  • Bayesian modeling and approximation

  • Inverse problems in atmospheric modeling

  • All aspects of atmospheric emissions (e.g. radinuclides, microplastics, ammonia), including modeling, estimation and consequences

Supervision

  • Supervisor of multiple bachelor’s and master’s theses in areas of machine learning, programming, and inverse modeling

Journal articles

  1. Evangeliou N., Tichý Ondřej, Otervik M. S., Eckhardt S., Balkanski Y., Hauglustaine D.: Unchanged PM2.5 levels over Europe during COVID-19 were buffered by ammonia, Aerosol Research 3 1 (2025), p. 155-174 Download Download DOI: 10.5194/ar-3-155-2025 [2025]
  2. Tichý Ondřej, Evangeliou N., Selivanova A., Šmídl Václav: Inverse modeling of 137Cs during Chernobyl 2020 wildfires without the first guess, Atmospheric Pollution Research 16 Download Download DOI: 10.1016/j.apr.2025.102419 [2025]
  3. Brožová Antonie, Šmídl Václav, Tichý Ondřej, Evangeliou N.: Spatial-temporal source term estimation using deep neural network prior and its application to Chernobyl wildfires, Journal of Hazardous Materials 448 Download Download DOI: 10.1016/j.jhazmat.2025.137510 [2025]
  4. Tichý Ondřej, Eckhardt S., Balkanski Y., Hauglustaine D., Evangeliou N.: Decreasing trends of ammonia emissions over Europe seen from remote sensing and inverse modelling, Atmospheric Chemistry and Physics 23 24 (2023), p. 15235-15252 Download Download DOI: 10.5194/acp-23-15235-2023 [2023]
  5. Pecha Petr, Kárný Miroslav, Pechová E., Šmídl Václav, Tichý Ondřej: Potential Hazard of Accidental Radioactive Discharges into the Calm Atmosphere, ERCIM News 129, p. 43-44 Download Download [2022]
  6. Evangeliou N., Tichý Ondřej, Eckhardt S., Groot Zwaaftink Ch., Brahney J.: Sources and fate of atmospheric microplastics revealed from inverse and dispersion modelling: From global emissions to deposition, Journal of Hazardous Materials 432 Download Download DOI: 10.1016/j.jhazmat.2022.128585 [2022]
  7. Tichý Ondřej, Šmídl Václav, Evangeliou N.: Source term determination with elastic plume bias correction, Journal of Hazardous Materials 425 Download Download DOI: 10.1016/j.jhazmat.2021.127776 [2022]
  8. Tichý Ondřej, Hýža M., Evangeliou N., Šmídl Václav: Real-time measurement of radionuclide concentrations and its impact on inverse modeling of 106Ru release in the fall of 2017, Atmospheric Measurement Techniques 14 2 (2021), p. 803-818 Download Download DOI: 10.5194/amt-14-803-2021 [2021]
  9. Pecha Petr, Tichý Ondřej, Pechová E.: Determination of radiological background fields designated for inverse modelling during atypical low wind speed meteorological episode, Atmospheric Environment 246 Download Download DOI: 10.1016/j.atmosenv.2020.118105 [2021]
  10. Tichý Ondřej, Ulrych Lukáš, Šmídl Václav, Evangeliou N., Stohl A.: On the tuning of atmospheric inverse methods: comparisons with the European Tracer Experiment (ETEX) and Chernobyl datasets using the atmospheric transport model FLEXPART, Geoscientific Model Development 13 12 (2020), p. 5917-5934 Download Download DOI: 10.5194/gmd-13-5917-2020 [2020]
  11. Dedecius Kamil, Tichý Ondřej: Collaborative sequential state estimation under unknown heterogeneous noise covariance matrices, IEEE Transactions on Signal Processing 68 10 (2020), p. 5365-5378 Download Download DOI: 10.1109/TSP.2020.3023823 [2020]
  12. Tichý Ondřej, Bódiová Lenka, Šmídl Václav: Bayesian non-negative matrix factorization with adaptive sparsity and smoothness prior, IEEE Signal Processing Letters 26 3 (2019), p. 510-514 Download Download DOI: 10.1109/LSP.2019.2897230 [2019]
  13. Tichý Ondřej, Šmídl Václav, Hofman Radek, Evangeliou N.: Source term estimation of multi-specie atmospheric release of radiation from gamma dose rates, Quarterly Journal of the Royal Meteorological Society 144 717 (2018), p. 2781-2797 Download DOI: 10.1002/qj.3403 [2018]
  14. Tichý Ondřej, Šmídl Václav, Hofman Radek, Šindelářová Kateřina, Hýža M., Stohl A.: Bayesian inverse modeling and source location of an unintended 131I release in Europe in the fall of 2011, Atmospheric Chemistry and Physics 17 20 (2017), p. 12677-12696 Download DOI: 10.5194/acp-17-12677-2017 [2017]
  15. Tichý Ondřej, Šmídl Václav, Hofman Radek, Stohl A.: LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination, Geoscientific Model Development 9 11 (2016), p. 4297-4311 Download DOI: 10.5194/gmd-9-4297-2016 [2016]
  16. Tichý Ondřej, Šmídl Václav: Non-parametric Bayesian models of response function in dynamic image sequences, Computer Vision and Image Understanding 151 1 (2016), p. 90-100 Download DOI: 10.1016/j.cviu.2015.11.010 [2016]
  17. Tichý Ondřej, Šmídl Václav, Šámal M.: Model-based extraction of input and organ functions in dynamic scintigraphic imaging, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 4, p. 135-145 Download DOI: 10.1080/21681163.2014.916229 [2016]
  18. Tichý Ondřej, Šmídl Václav: Estimation of Input Function from Dynamic PET Brain Data Using Bayesian Blind Source Separation, Computer Science and Information Systems 12 4 (2015), p. 1273-1287 Download DOI: 10.2298/CSIS141201051T [2015]
  19. Tichý Ondřej, Šmídl Václav: Bayesian Blind Separation and Deconvolution of Dynamic Image Sequences Using Sparsity Priors, IEEE Transactions on Medical Imaging 34 1 (2015), p. 258-266 Download DOI: 10.1109/TMI.2014.2352791 [2015]

Other publications

  1. Šmídl Václav, Brožová Antonie, Tichý Ondřej, Evangeliou N.: Estimation of Spatial-temporal Source Term of Chernobyl Wildfires using Deep Neural Network Prior, EGU General Assembly 2025 Download DOI: 10.5194/egusphere-egu25-11939 [2025]
  2. Tichý Ondřej, Košík Václav, Šmídl Václav, Evangeliou N.: Atmospheric microplastics emissions estimation and uncertainty quantification using Gibbs sampler, EGU General Assembly 2025 Download DOI: 10.5194/egusphere-egu25-11924 [2025]
  3. Evangeliou N., Tichý Ondřej, Otervik M. S., Eckhardt S., Balkanski Y., Hauglustaine D.: PM2.5 levels over Europe during the first COVID19 lockdowns were controlled by NH3, Abstract Book of European Aerosol Conference 2024 (EAC 2024) Download [2024]
  4. Brožová Antonie, Šmídl Václav, Tichý Ondřej: Bayesian methods in neural networks for inverse atmospheric modelling, Stochastic and Physical Monitoring Systems 2024 Download Download [2024]
  5. Brožová Antonie, Šmídl Václav, Tichý Ondřej, Evangeliou N.: Estimation of spatio-temporal source of microplastics using Bayesian Neural networks, EGU General Assembly 2024 Download DOI: 10.5194/egusphere-egu24-5960 [2024]
  6. Tichý Ondřej, Šmídl Václav, Mácha Václav, Kuśmierczyk-Michulec J., Sommerer W., Tipka A.: Estimation of unknown source term based on radioxenon observations with the presence of background signal, EGU General Assembly 2024 Abstracts Download DOI: 10.5194/egusphere-egu24-3075 [2024]
  7. Kampouri A., Amiridis V., Tichý Ondřej, Evangeliou N., Solomos S., Gialitaki A., Marinou E., Gkikas A., Proestakis E., Scollo S., Merucci L., Mona L., Papagiannopoulos N., Zanis P.: Inversion techniques on volcanic emissions and the use for quantitative dispersion modeling: The case of Etna eruption on 12 March 2021, EGU General Assembly 2023 Download DOI: 10.5194/egusphere-egu23-13755 [2023]
  8. Evangeliou N., Tichý Ondřej, Eckhardt S., Balkanski Y., Hauglustaine D.: Decreasing trends of NH3 over Europe seen from space, EGU General Assembly 2023 Download DOI: 10.5194/egusphere-egu23-12287 [2023]
  9. Tichý Ondřej, Šmídl Václav, Evangeliou N.: Spatio-temporal inversion of atmospheric microplastics emmisions using block-coordinate descent method, EGU General Assembly 2023 Download DOI: 10.5194/egusphere-egu23-12619 [2023]
  10. Tichý Ondřej, Evangeliou N., Šmídl Václav, Hýža M., Kuča P.: Odhad zdrojového členu Cs-137 při požárech v okolí Černobylu v dubnu 2020, XLIII. Dni radiačnej ochrany 2022, Kniha abstraktů, p. 28-29 Download [2022]
  11. Kampouri A., Tichý Ondřej, Evangeliou N., Amiridis V., Solomos S., Gialitaki A., Marinou E., Gkikas A., Proestakis E., Scollo S., Merucci L., Mona L., Papagiannopoulos N., Zanis P.: Inverse modelling of volcanic emissions and their use for quantitative dispersion modeling: the 12th March 2021 Etna’s eruption, 11th International Aerosol Conference, p. 767-768 Download [2022]
  12. Tichý Ondřej, Evangeliou N., Šmídl Václav: Two stage inversion method for microplastics emission estimation, EGU General Assembly 2022 Download [2022]
  13. Evangeliou N., Tichý Ondřej, Eckhardt S., Brahney J.: Global emissions of atmospheric microplastics revealed from inverse modelling, AGU Fall Meeting 2021 Download [2021]
  14. Tichý Ondřej, Šmídl Václav: Towards non-linear inverse problem for atmospheric source term determination, Geophysical Research Abstracts Download [2020]
  15. Pecha Petr, Tichý Ondřej, Pechová E.: Potential Radioactive Hot Spots Induced by Radiation Accident Being Underway of Atypical Low Wind Meteorological Episodes, ÚTIA (Praha, 2020) Download [2020]
  16. Tichý Ondřej, Šmídl Václav, Hýža M.: Bayesian Approach to Localization of Atmospheric Release with Demonstration on the Case of Ruthenium-106 Release in 2017, SnT 2019 - CTBT: Science and Technology Conference - Book of Abstracts, p. 175 Download [2019]
  17. Tichý Ondřej, Šmídl Václav, Ulrych Lukáš, Hofman Radek: Study on influence of the prior source term to linear inverse problem for atmospheric source term determination, Geophysical Research Abstracts Download [2019]
  18. Pecha Petr, Tichý Ondřej: Simulace možného výskytu horkých míst při únicích radioaktivity při neobvyklých\npovětrnostních epizodách, XL. Dny radiační ochrany - sborník abstraktů, ČVUT, FJFI (Praha, 2018) Download DOI: 10.14311/DRO.2018.XL [2018]
  19. Tichý Ondřej, Šmídl Václav, Hýža M., Šindelářová Kateřina, Ulrych Lukáš, Belal Alkomiet: Compensation of inaccurate meteorological data in source term determination problem using Bayesian methods, Geophysical Research Abstracts Download [2018]
  20. Bódiová L., Tichý Ondřej, Šmídl Václav: Semi-supervised Bayesian Source Separation of Scintigraphic Image Sequences, European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2017: VipIMAGE 2017), p. 52-61 Download DOI: 10.1007/978-3-319-68195-5_6 [2018]
  21. Belal Alkomiet, Tichý Ondřej, Šmídl Václav: Bayesian source term determination with unknown covariance of measurements, Geophysical Research Abstracts Download [2017]
  22. Tichý Ondřej, Šmídl Václav: Linear Inverse Problem with Range Prior on Correlations and Its Variational Bayes Inference, Bayesian Statistics in Action: BAYSM 2016, p. 91-101, Eds: Argiento R., Lanzarone E., Villalobos I., Mattei A. Download DOI: 10.1007/978-3-319-54084-9_9 [2017]
  23. Tichý Ondřej, Šmídl Václav, Hofman Radek: Bayesian Estimation of Source Term of Atmospheric Radiation Release with Interval Prior, Proceedings of the 8th International Congress on Environmental Modelling and Software (iEMSs), p. 357-364 Download [2016]
  24. Hofman Radek, Tichý Ondřej, Šindelářová Kateřina: Analysis of elevated I-131 samples observed in 2011 over Europe, Geophysical Research Abstracts Download [2016]
  25. Tichý Ondřej, Šmídl Václav, Hofman Radek: Bayesian estimation of a source term of radiation release with approximately known nuclide ratios, Geophysical Research Abstracts Download [2016]
  26. Tichý Ondřej: Bayesian Blind Source Separation in Dynamic Medical Imaging, CTU v Praze (Praha, 2015) Download [2015]
  27. Hofman Radek, Šmídl Václav, Tichý Ondřej: Hierarchical Prior for Source Term Determination and Its Variational Bayes Estimation, CTBT: Science and Technology 2015, p. 142-142 Download [2015]
  28. Tichý Ondřej, Šmídl Václav: Variational Blind Source Separation Toolbox and its Application to Hyperspectral Image Data, Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015), p. 1336-1340 Download DOI: 10.1109/EUSIPCO.2015.7362599 [2015]
  29. Tichý Ondřej, Šmídl Václav: Bayesian Blind Source Separation with Unknown Prior Covariance, Latent Variable Analysis and Signal Separation, p. 352-359, Eds: Vincent E., Yeredor A., Koldovský Z., Tichavský P. Download DOI: 10.1007/978-3-319-22482-4_41 [2015]
  30. Tichý Ondřej: On Sparsity in Bayesian Blind Source Separation for Dynamic Medical Imaging, Rektorysova Soutěž, p. 20-21 Download [2014]
  31. Tichý Ondřej, Šmídl Václav: Kinetic Modeling of the Dynamic PET Brain Data Using Blind Source Separation Methods, The 2014 7th International Conference on BioMedical Engineering and Informatics, p. 244-249 Download DOI: 10.1109/BMEI.2014.7002794 [2014]
  32. Tichý Ondřej: On Validation of Algorithms for Dynamic Medical Data Separation, Doktorandské dny 2013, p. 283-292 Download [2013]
  33. Tichý Ondřej, Šmídl Václav, Šámal M.: Model-based Extraction of Input and Organ Functions in Dynamic Medical Imaging, Computational Vision and Medical Image Processing (VipIMAGE 2013), p. 75-80 Download [2013]
  34. Šmídl Václav, Tichý Ondřej: Sparsity in Bayesian Blind Source Separation and Deconvolution, Machine Learning and Knowledge Discovery in Databases, p. 548-563 Download DOI: 10.1007/978-3-642-40991-2_35 [2013]
  35. Tichý Ondřej, Šmídl Václav: Convolution Model of Time-activity Curves in Blind Source Separation, UTIA AV ČR (Praha, 2013) Download [2013]
  36. Tichý Ondřej: Automated Functional Analysis in Dynamic Medical Imaging, Aplikovaná matematika – Rektorysova soutěž, p. 19-20 Download [2012]
  37. Tichý Ondřej: Model Consideration for Blind Source Separation of Medical Image Sequences, Doktorandské dny 2012, p. 1-10 Download [2012]
  38. Šmídl Václav, Tichý Ondřej: Automatic Regions of Interest in Factor Analysis for Dynamic Medical Imaging, Proceedings of 2012 IEEE International Symposium on Biomedical Imaging, p. 158-161 Download DOI: 10.1109/ISBI.2012.6235508 [2012]
  39. Šmídl Václav, Tichý Ondřej: Variational Bayes in Distributed Fully Probabilistic Decision Making, The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), p. 73-80 Download [2011]
  40. Tichý Ondřej, Šmídl Václav: Decentralization of Fully Probabilistic Control Design using Variational Bayes Approximation, Abstracts of Contributions to 7th International Workshop on Data - Algorithms - Decision Making, p. 37-37, Eds: Janžura M., Ivánek J. Download [2011]
  41. Tichý Ondřej: Factor Analysis of Scintigraphic Image Sequences with Integrated Probabilistic Mask of Factor Images, Doktorandské Dny 2011, p. 255-263, Eds: Ambrož Petr, Masáková Zuzana Download [2011]
  42. Šmídl Václav, Tichý Ondřej, Šámal M.: Factor Analysis Of Scintigraphic Image Sequences With Integrated Convolution Model Of Factor Curves, Proceedings of the second international conference on computational bioscience, p. 1-7 Download [2011]
  43. Šmídl Václav, Tichý Ondřej: Variational Bayes Approximation for Distributed Fully Probabilistic Design, Abstracts of Contributions to 6th International Workshop on Data-Algorthms-Decision Making, p. 47-47 Download [2010]
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