E-mail: krzysztof.brzostowski@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Department of Computer Science and Systems Engineering

ul. Z. Janiszewskiego 11/17, 50-372 Wrocław
building C-3, room 15
phone +48 71 320 4453

Office hours

• Wednesday: 7.50 – 9.00
• Thursday: 11.50 – 13.00
• Friday: 7.50 – 9.00
• Saturday: 8.00 – 9.00

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Research fields

• nonlinear signal processing; time-frequency signal representation; sparsity techniques; system identification; multi-sensor fusion; biomedical signal processing.

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Recent papers

2020

• Brzostowski K., Zastosowanie przetwarzania sygnałów w fuzji danych strumieniowych, Oficyna Wydawnicza PWr, ISBN 978-83-7493-099-4

2018

• Brzostowski K., Novel approach to human walking speed enhancement based on drift estimation. Biomedical Signal Processing and Control. 2018, vol. 42, s. 18–29

2013

• Brzostowski K., Drapała J., Grzech A., Świątek P., Adaptive decision support system for automatic physical effort plan generation: data-driven approach. Cybernetics and Systems. 2013, vol. 44, nr 2/3, s. 204-221

2010

• Brzostowski K., Szpala A., Rutkowska-Kucharska A., Drapała J., Zawadzki J., Asymmetry of electromechanical delay (EMD) and torque in the muscles stabilizing spinal column, Acta of Bioengineering and Biomechanics. 2010, vol. 12, nr 4, s. 11-18

2009

• Brzostowski K., Świątek J., Different approaches to model relationship between EMG signals and force moments in human skeletal muscle: analysis for diagnosis of neuronmuscular disorders” Fundamenta Informaticae. 2009, vol. 96, nr 4, s. 465-475

Papers in DONA database

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Selected publications
1	Referat konferencyjny 2026 Mahmoud Nasr, Krzysztof Brzostowski, Adam Piórkowski, Enhanced CT image reconstruction using VMD-based quaternion bilateral filtering. W: Computational Collective Intelligence : 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025 : proceedings. Pt. 2 / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer Nature Switzerland AG, cop. 2026. s. 273-287. ISBN: 978-3-032-09320-2; 978-3-032-09321-9 Zasoby:DOIURLSFX
2	Referat konferencyjny 2026 Bartosz Procki, Krzysztof Brzostowski, An algorithm to remove motion-based artifacts in MRI data based on deep learning methods. W: Computational Collective Intelligence : 17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025 : proceedings. Pt. 2 / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer Nature Switzerland AG, cop. 2026. s. 464-479. ISBN: 978-3-032-09320-2; 978-3-032-09321-9 Zasoby:DOIURLSFX
3	Artykuł 2025 Mahmoud Nasr, Adam Piórkowski, Krzysztof Brzostowski, A novel approach for CT image smoothing: Quaternion Bilateral Filtering for kernel conversion. Computers in Biology and Medicine. 2025, vol. 196, part C, art. 110644, s. 1-9. ISSN: 1879-0534; 0010-4825 Zasoby:DOIURLSFX
4	Artykuł 2025 Mahmoud Nasr, Krzysztof Brzostowski, Rafał Obuchowicz, Adam Piórkowski, Comparative analysis of noise estimation methods in computed tomography images: histogram analysis, L2 norm, SSIM, and CNN-based classification with ResNet50. Digital Signal Processing. 2025, vol. 166, art. 105242, s. 1-20. ISSN: 1051-2004; 1095-4333 Zasoby:DOIURLSFX
5	Artykuł 2025 Mahmoud Nasr, Krzysztof Brzostowski, Adam Piórkowski, Cancelable biometric authentication leveraging empirical mode decomposition and quaternion representations for IoT security. Scientific Reports. 2025, vol. 15, art. 10997, s. 1-13. ISSN: 2045-2322 Zasoby:DOIURLSFX
6	Artykuł 2024 Krzysztof Brzostowski, Rafał Obuchowicz, Combining variational mode decomposition with regularisation techniques to denoise MRI data. Magnetic Resonance Imaging. 2024, vol. 106, s. 55-76. ISSN: 0730-725X; 1873-5894 Zasoby:DOISFX
7	Referat konferencyjny 2023 Mahmoud Nasr, Adam Piórkowski, Krzysztof Brzostowski, An approach for CT image conversion using filtering based on quaternion mathematics. W: Progress on Pattern Classification, Image Processing and Communications : Proceedings of the CORES and IP&C Conferences 2023 / eds. Robert Burduk [i in.]. Cham : Springer, cop. 2023. s. 145-156. ISBN: 978-3-031-41629-3; 978-3-031-41630-9 Zasoby:DOISFX
8	Referat konferencyjny 2022 Dariusz Gąsior, Krzysztof Brzostowski, Igor Perko, Utility-based resource allocation under uncertainty. W: 6th FEB International Scientific Conference : Challenges in Economics and Business in the Post-COVID Times : 16-20 May 2022, Maribore, Slovenia / eds. Zlatko Nedelko. University od Maribore : Maribore, 2022. s. 459-468. ISBN: 978-961-286-600-6 Zasoby:DOIURL
9	Referat konferencyjny 2021 Igor Perko, Vojko Potočan, Zoraida Mendiwelso-Bendek, Agustin Domingo Moratalla, Krzysztof Brzostowski, Dariusz Gąsior, Zvonimir Galić, Mitja Ružojčić, Alina Makhkamova, Data sharing in the Hybrid reality: can we form a socially responsible proposal by introducing a transdisciplinary research process?. W: IRDO Joint Conferences on Socially Responsible Society 2021 : 10-11 June 2021 (Maribor, Slovenia, European Union, online performance) : conference proceedings / eds. Anita Hrast, Igor Perko, Darja Piciga. Ljubljana : Institute for the Development of Social Responsibility, 2021. s. 1-7. ISBN: 978-961-7141-01-6 Zasoby:URL
10	Referat konferencyjny 2021 Krzysztof Brzostowski, Jerzy Świątek, Different approaches to threshold estimation for Variation Mode Decomposition-based signal denoising. W: Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 / eds. Henry Selvaraj, Grzegorz Chmaj, Dawid Zydek. Cham : Springer, cop. 2021. s. 95-104. ISBN: 978-3-030-65795-6; 978-3-030-65796-3 Zasoby:DOISFX
11	Artykuł 2021 Krzysztof Brzostowski, Jerzy Świątek, Dictionary adaptation and variational mode decomposition for gyroscope signal enhancement. Applied Intelligence. 2021, vol. 51, s. 2312-2330. ISSN: 0924-669X; 1573-7497 Zasoby:DOISFX
12	Rozdział w monografii 2021 Jerzy Świątek, Krzysztof Brzostowski, Jarosław P Drapała, Non-gaussian noise reduction in measurement signal processing. W: Automatic control, robotics, and information processing / eds. Piotr Kulczycki, Józef Korbicz, Janusz Kacprzyk. Cham : Springer, cop. 2021. s. 93-114. ISBN: 978-3-030-48586-3; 978-3-030-48587-0 Zasoby:DOISFX

All publications