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

UTIA - Library

Journal articles

  1. 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

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, EGU General Assembly 2025, (Vienna, AT, 20250427) [2025] Download DOI: 10.5194/egusphere-egu25-11939
  2. Brožová Antonie, Šmídl Václav, Tichý OndřejBayesian 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
  3. 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
  4. Brožová Antonie, Šmídl VáclavAvoiding 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