RESEARCHER

Antonie Brožová

📧 Email: brozova@utia.cas.cz
📞 Phone: +420 266 052 442

🔬 Research Interests

Variational Bayesian methods Image processing Deep learning

📚 Education

CTU, Faculty of Nuclear Sciences and Physical Engineering – PhD programme: Mathematical Engineering – 2021 – present CTU, Faculty of Nuclear Sciences and Physical Engineering– master programme: Applied Mathematical Stochastic Methods – 2018 – 2021 Kansas State University, USA – courses taken: Applied Data Mining/ Machine Learning and Predictive Analytics, Mathematics of Data and Networks, Bayesian Inference, Experimental Design for Product Development and Quality Improvement – Fall semester 2019 CTU, Faculty of Nuclear Sciences and Physical Engineering – bachelor programme: Mathematical Engineering with focus on Applied Mathematical Stochastic Methods – 2015 – 2018

List of publications

  1. Brožová Antonie, Šmídl Václav, Tichý Ondřej, Evangeliou N. :  Intuitively tuned elastic bias correction of atmospheric inversion using Gaussian process prior: Application to accidental radioactive emissions , Journal of Hazardous Materials vol.506, 141523 [2026] Download Download DOI: 10.1016/j.jhazmat.2026.141523
  2. 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 vol.448, 137510 [2025] Download Download DOI: 10.1016/j.jhazmat.2025.137510

  1. Brožová Antonie, Uliáš Michal, Tichý Ondřej, Šmídl Václav :  Bayesian inversion methods and toolbox for their application to accidental radionuclide releases , NextGen Synergy: Control Theory & Machine Learning, Book of Abstracts 2026 , Eds: Guy Tatiana, Gaj Alexej, Kárný Miroslav, NextGen Synergy: Control Theory & Machine Learning, (Praha, CZ, 20260427) [2026] Download DOI: 10.5281/zenodo.19785953
  2. Brožová Antonie, Šmídl Václav, Tichý Ondřej, Evangeliou N. :  Nonlinear Atmospheric Inversion with Interpretable Bias Correction via Gaussian Process Prior , EGU General Assembly 2026, EGU General Asssembly 2026, (Vídeň, AT, 20260503) [2026] Download DOI: 10.5194/egusphere-egu26-11347
  3. 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, EGU General Assembly 2025, (Vienna, AT, 20250427) [2025] Download DOI: 10.5194/egusphere-egu25-11939
  4. Brožová Antonie, Šmídl Václav, Tichý Ondřej :  Bayesian methods in neural networks for inverse atmospheric modelling , Stochastic and Physical Monitoring Systems 2024, Stochastic and Physical Monitoring Systems 2024 (SPMS 2024) /15./, (Dobřichovice, CZ, 20240620) [2024] Download Download
  5. Brožová Antonie, Šmídl Václav, Tichý Ondřej, Evangeliou N. :  Estimation of spatio-temporal source of microplastics using Bayesian Neural networks , EGU General Assembly 2024, EGU24-5960 , EGU General Assembly 2024, (Vienna, AT, 20240414) [2024] Download DOI: 10.5194/egusphere-egu24-5960
  6. Brožová Antonie, Šmídl Václav :  Avoiding Undesirable Solutions of Deep Blind Image Deconvolution , Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2024), p. 559-566 , Eds: Radeva Petia, Furnari Antonino, Bouatouch Kadi, Sousa A. Augusto, International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2024) /19./, (Roma, IT, 20240227) [2024] Download Download DOI: 10.5220/0012397600003660