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

Research interests

• Signal processing
• Machine learning
• Pattern recognition
• Anomaly detection
• Tensor transformations
• Quantum kernel methods
• Radar systems
• Smart beekeeping

Most important publications from 2020-2025

• Paweł Biernacki, Urszula Libal. Nonlinear Schur-type audio signal parameterization for convolutional networks. IEEE Signal Processing Letters. 2025, vol. 32, pp. 1665-1669.

• Piotr Ł. Książek, Urszula Libal, Aleksandra Król-Nowak. Spectral components of honey bee sound signals recorded inside and outside the beehive: an explainable machine learning approach to diurnal pattern recognition. Sensors. 2025, vol. 25, no. 14, art. 4424, pp. 1-17.

• Urszula Libal, Paweł Biernacki. Non-intrusive system for honeybee recognition based on audio signals and maximum likelihood classification by autoencoder. Sensors. 2024, vol. 24, no. 16, art. 5389, pp. 1-19.

• Urszula Libal, John S. Baras, Karl H. Johansson. Dimensionality reduction of Volterra kernels by tensor decomposition using higher-order SVD. W: 2020 59th IEEE Conference on Decision and Control (CDC), Jeju Island, Republic of Korea, December 14-18, 2020. [Danvers, MA] : IEEE, cop. 2020. pp. 5935-5941. 

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:DOISFX
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:URLSFX
3	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
4	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
5	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
6	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:DOIURLSFX
7	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:DOIURLSFX
8	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
9	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
10	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
11	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