dr inż. Michał Piórek

Email: michal.piorek@pwr.edu.pl

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Structure: Faculty of Information and Communication Technology (N) » Department of Computer Science in Engineering

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ul. Z. Janiszewskiego 7, 50-372 Wrocław
building C-16, room P 2.2
phone +48 71 320 7625

Office hours

• Thursday 18.50-19.50

Research fields

• Dynamical systems; machine learning; geospatial data analysis; nonlinear time series analysis.

Recent papers

2025

• Marek Bazan, Przemysław Lewicki, Michał Piórek, Ewa Skubalska-Rafajłowicz, Kamil Szyc, Henryk Maciejewski, Machine Learning-Based Surrogate Models for Noise Level Prediction on Urban Scale Maps, International Conference on Dependability and Complex Systems, 11-20.

2024

• Ewa Skubalska-Rafajłowicz, Adam Krzyżak, Michał Piórek, Eigenmaps-Modified PCA-Based Approach for Dimensionality Reduction of Multivariate Time Series of Geospatial Data, International Conference on Artificial Intelligence and Soft Computing, 189-200.

2020

• Piórek M., Jabłoński B., A Quaternion Clustering Framework, International Journal of Applied Mathematics and Computer Science 30, 133-147.

2018

• Piórek M., Analysis of Chaotic Behavior in Non-linear Dynamical Systems, Springer Studies in Systems, Decision and Control 160.

2017

• Piórek M., Josiński H., Michalczuk A., Świtoński A., Szczęsna A., Quaternions and joint angles in an analysis of local stability of gait for different variants of walking speed and treadmill slope, Information Sciences 384, 263-280.

2015

• Korus L., Piórek M., Compound method of time series classification, Nonlinear Analysis, Modelling and Control 20 (4), 545-560.

Papers in DONA database

Selected publications
1	Artykuł 2026 Przemysław Lewicki, Henryk Maciejewski Michał Piórek Ewa Skubalska-Rafajłowicz Predicting concentrations of PM2.5, PM10, CO, VOC, and NOx on the urban scale using machine learning-based surrogate models. Applied Sciences. 2026, vol. 16, nr 1, art. 334, s. 1-19. ISSN: 2076-3417 Zasoby:DOIURLSFX
2	Referat konferencyjny 2025 Ewa Skubalska-Rafajłowicz Adam Krzyżak, Michał Piórek The use of neural networks and PCA dimensionality reduction in the imputation of missing fragments in high-dimensional time series. W: Stochastic Models, Statistics and Their Applications : SMSA 2024, Delft, The Netherlands, March 13-15 / eds. Ansgar Steland, Ewaryst Rafajłowicz, Nestor Parolya. Cham : Springer Nature Switzerland AG, cop. 2025. s. 139-150. ISBN: 978-3-031-96014-7; 978-3-031-96015-4 Zasoby:DOIURLSFX
3	Referat konferencyjny 2025 Marek Bazan Przemysław Lewicki, Michał Piórek Ewa Skubalska-Rafajłowicz Kamil A Szyc Henryk Maciejewski Machine learning-based surrogate models for noise level prediction on urban scale maps. W: Advances in Dependable Systems and Networks : Proceedings of the Twentieth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 30 – July 3, 2025, Brunów, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer Nature Switzerland AG, cop. 2025. s. 11-20. ISBN: 978-3-031-92733-1; 978-3-031-92734-8 Zasoby:DOIURLSFX
4	Referat konferencyjny 2025 Ewa Skubalska-Rafajłowicz Adam Krzyżak, Michał Piórek Eigenmaps - modified PCA-based approach for dimensionality reduction of multivariate time series of geospatial data. W: Artificial Intelligence and Soft Computing : 23rd International Conference, ICAISC 2024, Zakopane, Poland, June 16-20, 2024 : proceedings. Pt. 2 / eds. Leszek Rutkowski [i in.]. Cham : Springer, cop. 2025. s. 189-200. ISBN: 978-3-031-84355-6; 978-3-031-84356-3 Zasoby:DOIURLSFX
5	Artykuł 2020 Michał Piórek Bartosz Jabłoński A quaternion clustering framework. International Journal of Applied Mathematics and Computer Science. 2020, vol. 30, nr 1, s. 133-147. ISSN: 1641-876X; 2083-8492 Zasoby:DOIURLSFX
6	Monografia 2019 Michał Piórek Analysis of chaotic behavior in non-linear dynamical systems : models and algorithms for quaternions. Cham: Springer, 2019. XI, 132 s. ISBN: 978-3-319-94886-7 (Studies in Systems, Decision and Control, ISSN 2198-4182; vol. 160) Zasoby:DOI
7	Artykuł 2017 Michał Piórek Henryk Josiński, Agnieszka Michalczuk, Adam Świtoński, Agnieszka Szczęsna, Quaternions and joint angles in an analysis of local stability of gait for different variants of walking speed and treadmill slope. Information Sciences. 2017, vol. 384, s. 263–280. ISSN: 0020-0255 Zasoby:DOISFX
8	Referat konferencyjny 2016 Michał Piórek Mutual information for quaternion time series. W: Computer information systems and industrial management : 15th IFIP TC8 International Conference, CISIM 2016, Vilnius, Lithuania, September 14-16, 2016 : proceedings / Khalid Saeed, Władysław Homenda (eds.). [Cham] : Springer, cop. 2016. s. 453-461. ISBN: 978-3-319-45377-4 Zasoby:DOISFX
9	Artykuł 2015 Łukasz Korus Michał Piórek Compound method of time series classification. Nonlinear Analysis: Modelling and Control. 2015, vol. 20, nr 4, s. 545-560. ISSN: 1392-5113 Zasoby:DOIURLSFX
10	Referat konferencyjny 2015 Michał Piórek Chaotic properties of gait kinematic data. W: Computer information systems and industrial management : 14th IFIP TC8 International Conference, CISIM 2015, Warsaw, Poland, September 24-26, 2015 : proceedings / Khalid Saeed, Władysław Homenda (eds.). Cham [i in.] : Springer, cop. 2015. s. 111-119. ISBN: 978-3-319-24368-9 Zasoby:DOISFX

All employee publications