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Faculty of Electronics, Photonics and Microsystems

Faculty of Electronics, Photonics and Microsystems

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hr-excellence

dr inż. Urszula Libal

Email: urszula.libal@pwr.edu.pl
Structure: Faculty of Electronics, Photonics and Microsystems (N) » Department of Nanometrology

Publications in the DONA database

ORCID: 0000-0002-3348-510X

Web of Science ID: KYR-0027-2024

Scopus Author Profile

IEEE Author Profile


Bio:

  • 2015 – PhD in Automatic Control and Robotics (Specialization: Machine Learning), Wroclaw University of Science and Technology
  • 2009 – MSc Eng. in Electronics and Telecommunications (Specialization: Applied Computer Engineering), Wroclaw University of Science and Technology
  • 2006 – MSc in Mathematics (Specialization: Applied Probability and Statistics), University of Wroclaw

Research interests:

  • Machine Learning
  • Neural Networks
  • Tensor Decomposition
  • TinyML
  • Image Recognition
  • Anomaly Detection
  • Quantum Kernel Methods
  • Radar Systems
  • Sensor Fusion
  • Smart Beekeeping

Selected publications
1
Artykuł
2026
Dawid Podgórski, Agnieszka Wielgus Urszula Libal Karol Abratkiewicz,
Improved quantum genetic support vector machines for hand gesture recognition by micro-Doppler effect. IEEE Sensors Journal. 2026, vol. 26, nr 3, s. 4507-4520. ISSN: 1530-437X; 1558-1748
Zasoby:DOISFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
2
Artykuł
2026
Urszula Libal Arkadiusz T Byndas Dawid Sysak Tomasz Karaś
Radar detection of high architectural objects in urban environments – an experimental study. International Journal of Electronics and Telecommunications. 2026, vol. 72, nr 1, s. 1-7. ISSN: 2081-8491; 2300-1933
Zasoby:URLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
3
Artykuł
2026
Urszula Libal Paweł Biernacki Szymon Sołtysiak,
Robustness analysis of CNN and convolutional KAN architectures against weather and geometric distortions in traffic sign recognition. International Journal of Electronics and Telecommunications. 2026, vol. 72, nr 1, s. 1-8. ISSN: 2081-8491; 2300-1933
Zasoby:DOISFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
4
Referat konferencyjny
2026
Urszula Libal Paweł Biernacki Agnieszka Wielgus
Sub-Pixel localization of radar targets in spatially correlated clutter. W: 2026 27th International Radar Symposium (IRS), May 19–21, 2026 Kraków, Poland : proceedings / ed. by Marek Rupniewski. Danvers, MA : IEEE, cop. 2026. s. 267-272. ISBN: 978-83-969726-5-1; 979-8-3315-6440-7
Zasoby:DOIURL
5
Referat konferencyjny
2026
Michał Klamecki, Agnieszka Wielgus Urszula Libal Paweł Biernacki
Comparison of radar-camera fusion strategies for road traffic users detection. W: 2026 27th International Radar Symposium (IRS), May 19–21, 2026 Kraków, Poland : proceedings / ed. by Marek Rupniewski. Danvers, MA : IEEE, cop. 2026. s. 226-231. ISBN: 978-83-969726-5-1; 979-8-3315-6440-7
Zasoby:DOIURL
6
Referat konferencyjny
2025
Jan Zarzycki Urszula Libal Stanisław M Gmyrek
Generalized tensor covariance Nevanlinna-Pick type interpolation–the orthogonal solution for 4-th order stochastic processes via the schur transform and LIS. W: SPA 2025 : Signal Processing : Algorithms, Architectures, Arrangements, and Applications, Poznan, 17th - 19th September 2025 : conference proceedings. [Danvers, MA] : IEEE, 2025. s. 221-226. ISBN: 978-83-62065-51-6; 978-83-62065-49-3
Zasoby:DOIURL
7
Referat konferencyjny
2025
Jan Zarzycki Urszula Libal
Generalized tensor moment vs. covariance nevanlinna-pick type interpolation for Higher-Order stochastic processes - statement of the problem. W: SPA 2025 : Signal Processing : Algorithms, Architectures, Arrangements, and Applications, Poznan, 17th - 19th September 2025 : conference proceedings. [Danvers, MA] : IEEE, 2025. s. 44-49. ISBN: 978-83-62065-51-6; 978-83-62065-49-3
Zasoby:DOIURL
8
Referat konferencyjny
2025
Urszula Libal Agnieszka Wielgus Dawid Podgórski, Karol Abratkiewicz,
Micro-Doppler-Based UAVs classification using improved quantum genetic SVM. W: 2025 33rd European Signal Processing Conference (EUSIPCO), 08-12 September 2025, Palermo, Italy : proceedings. [Piscataway, NJ] : IEEE, [2025]. s. 2347-2351. ISBN: 978-9-4645-9362-4; 979-8-3503-9183-1
Zasoby:DOIURL
9
Artykuł
2025
Paweł Biernacki Urszula Libal
Monte Carlo modelling of echoes reflected by high-rise architectural landmarks in UAV anticollision radar. IET Radar, Sonar and Navigation. 2025, vol. 19, nr 1, art. e70078, s. 1-13. ISSN: 1751-8792; 1751-8784
Zasoby:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
10
Artykuł
2025
Urszula Libal Paweł Biernacki
High-Rise architectural landmarks detection and identification by spatio-probabilistic models for UAV anti-collision radar - a real data case. IET Radar, Sonar and Navigation. 2025, vol. 19, nr 1, art. e70069, s. 1-16. ISSN: 1751-8792; 1751-8784
Zasoby:DOIURLSFXImpact FactorLista FiladelfijskaLista MNiSWOpen Access
11
Referat konferencyjny
2025
Szymon Sołtysiak, Paweł Biernacki Urszula Libal
Traffic sign recognition with convolutional kolmogorov-arnold networks. W: 2025 Signal Processing Symposium (SPSympo), July 09-10, 2025 Warsaw, Poland. Piscataway, NJ : IEEE, cop. 2025. 147-152. ISBN: 978-83-969726-2-0; 979-8-3315-0886-9
Zasoby:DOIURL
12
Referat konferencyjny
2025
Adam Stefaniak, Urszula Libal Agnieszka Wielgus Paweł Biernacki
Parametric and geometric active contour models for image segmentation. W: 2025 Signal Processing Symposium (SPSympo), July 09-10, 2025 Warsaw, Poland. Piscataway, NJ : IEEE, cop. 2025. s. 153-158. ISBN: 978-83-969726-2-0; 979-8-3315-0886-9
Zasoby:DOIURL
13
Referat konferencyjny
2025
Krzysztof Maciejończyk, Agnieszka Wielgus Urszula Libal
Coverage analysis for low-altitude threat targets. W: 2025 Signal Processing Symposium (SPSympo), July 09-10, 2025 Warsaw, Poland. Piscataway, NJ : IEEE, cop. 2025. s. 90-95. ISBN: 978-83-969726-2-0; 979-8-3315-0886-9
Zasoby:DOIURL
14
Referat konferencyjny
2025
Piotr Ł Książek Urszula Libal
Impact of time of day on spectral and entropic parameters of honeybee audio signals. W: 2025 Signal Processing Symposium (SPSympo), July 09-10, 2025 Warsaw, Poland. Piscataway, NJ : IEEE, cop. 2025. s. 84-89. ISBN: 978-83-969726-2-0; 979-8-3315-0886-9
Zasoby:DOIURL

All employee publications

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