Paweł Powroźnik, Ph.D.
phone: +48 815384354
email: p.powroznik@pollub.pl
Biography
Paweł Powroźnik has been working as an assistant professor at the Department of Computer Science at the Lublin University of Technology, since 2016. He received the B.S. and M.S. degrees in Computer Science at the Maria Curie-Sklodowska University in Lublin, Poland in 2009 and 2011, respectively. In 2018 he defended his Ph.D. thesis at the Lublin University of Technology. After M.S. graduation, he worked as an iOS Mobile Application Developer, from 2016 until 2021 he successfully combined commercial and university responsibilities.
His main research interests are focused on machine learning, data classification, computer vision, analysis of the usability of graphical interfaces, and intangible cultural heritage as well as motion capture, 3D motion analysis. His teaching areas concern programming languages, mobile iOS programming, databases as well as artificial intelligence. He is the author and co-author of many scientific publications, books and monographs.
He participates or actively acquired educational and scientific national and international grants, such as:
- ”ETMO- Education and training in 3D motion analysis‘‘ (EDUCATION PROGRAM – MF EOG 2014-2021),
- „Preserve from posterity” – 3D technology in protecting the traditions of national and regional dances (Social responsibility of science II –Popularization of science, co-financing from the Ministry of Education and Science),
- “Expansion of the motion capture laboratory of the Department of Computer Science” (co-financing from the Ministry of Education and Science).
He is a member of IEEE, Polish IT Society, Association for Image Processing, Lublin Scientific Society, and Polish Artificial Intelligence Association.
- Motion Analysis
- Artificial intelligence
- Convolutional Neural Networks
- 3D animation
- Image processing
- Signal processing
- AlchemyNavigation: Comparative evaluation of a dynamic navigation system for unity virtual worlds, Maciej Kempny, Marcin Barszcz, Krzysztof Dziedzic, Maria Skublewska-Paszkowska, Paweł Powroźnik, Advances in Science and Technology Research Journal, 2026, vol. 20 No. 2, 374–387.
- Application of smooth OWA operators to classification of retinitis pigmentosa, Alicja Rachwał, Albert Rachwał, Paweł Powroźnik, Maria Skublewska-Paszkowska, Katarzyna Nowomiejska, Robert Rejdak, Kamil Jonak, Paweł Karczmarek, Scientific Reports, 2026, vol. 16, 1–17.
- An Innovative Approach to Intelligent Management of Retinal Pathology Recognition Based on Deep Learning and Intuitionistic Fuzzy Sets, Alicja Żmudzińska, Paweł Powroźnik, Maria Skublewska-Paszkowska, Katarzyna Nowomiejska, Paweł Karczmarek, Adam Kiersztyn, Kamil Jonak, Aneta Oniszczuk-Jastrząbek, Ernest Czermański, Małgorzata Skweres-Kuchta. [In:] Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol. 2, Proceedings of the 28th European Conference on Artificial Intelligence (ECAI 2025 – InMan Workshop), 2025, 314–327.
- Explainable Multimodal Hybrid Vision Transformers for Emotional Speech Recognition, Paweł Powroźnik, Maria Skublewska-Paszkowska, Krzysztof Dziedzic, Marcin Barszcz, Kinga Chwaleba, Weronika Wach, Vimala Nunavath. [In:] ECAI 2025 – 28th European Conference on Artificial Intelligence Including 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025): Proceedings, 2025, 330–338.
- Motion Labeling and Recognition: A Case Study on the Zeibekiko Dance, Maria Skublewska-Paszkowska, Paweł Powroźnik, Marilena Lemonari, Andreas Aristidou. [In:] Interactive Media for Cultural Heritage, 2025, 251–266.
- Analysis of the perceptions in the Polish regional online exhibitions in the era of digitalization of cultural heritage, Kinga Chwaleba, Maria Skublewska-Paszkowska, Paweł Powroźnik, Weronika Wach. [In:] Protection, Sharing and Management in the Area of Cultural Heritage and in the Field of Digital History, 2025, 245–270.
- Residual self-attention vision transformer for detecting acquired vitelliform lesions and age-related macular drusen, Paweł Powroźnik, Maria Skublewska-Paszkowska, Katarzyna Nowomiejska, Beata Gajda-Deryło, Max Brinkmann, Marina Concilio, Mario Damiano Toro, Robert Rejdak, Scientific Reports, 2025, vol. 15, 1–22.
- Feature Fusion Graph Consecutive-Attention Network for Skeleton-Based Tennis Action Recognition, Paweł Powroźnik, Maria Skublewska-Paszkowska, Krzysztof Dziedzic, Marcin Barszcz, Applied Sciences, 2025, vol. 15 No. 10, 1–24.
- Deep convolutional generative adversarial networks in retinitis pigmentosa disease images augmentation and detection, Paweł Powroźnik, Maria Skublewska-Paszkowska, Katarzyna Nowomiejska, Andreas Aristidou, Andreas Panayides, Robert Rejdak, Advances in Science and Technology Research Journal, 2025, vol. 19 No. 2, 321–340.
- Pulmonary diseases identification: Deep learning models and ensemble learning, Patrycja Kwaśniewska, Grzegorz Zieliński, Paweł Powroźnik, Maria Skublewska-Paszkowska, Applied Computer Science, 2025, vol. 21 No. 3, 38–58.
- Analysis of selected methods of person identification based on biometric data, Marcin Rudzki, Paweł Powroźnik, Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2025, vol. 15 No. 2, 51–56.
- Analysis of the impact of selected user interface elements on its usability, Damian Wojtal, Paweł Powroźnik, JCSI – Journal of Computer Sciences Institute, 2025, vol. 35, 113–120.
- Comparison of chosen image classification methods on Android, Mariusz Krzysztof Zapalski, Patryk Konrad Żabczyński, Paweł Powroźnik, JCSI – Journal of Computer Sciences Institute, 2025, vol. 36, 342–349.
- Analysis of smooth and enhanced smooth quadrature-inspired generalized Choquet integral, Paweł Karczmarek, Adam Gregosiewicz, Zbigniew Andrzej Łagodowski, Michał Dolecki, Łukasz Gałka, Paweł Powroźnik, Witold Pedrycz, Kamil Jonak, Fuzzy Sets and Systems, 2024, vol. 483, s. 1-17.
- Application of Convolutional Gated Recurrent Units U-Net for Distinguishing between Retinitis Pigmentosa and Cone-Rod Dystrophy, Maria Skublewska-Paszkowska, Paweł Powroźnik, Robert Rejdak, Katarzyna Nowomiejska, Acta Mechanica et Automatica, 2024, vol. 18, nr 3, s. 505-513.
- Fuzzy C-Means Clustering for Motion Capture Tennis Time-Series Data, Maria Skublewska-Paszkowska, Paweł Powroźnik, Paweł Karczmarek, Edyta Łukasik, Jakub Smołka, IEEE Access, 2024, vol. 11, s. 1-22.
- Recognition of human gait based on ground reaction forces and combined data from two gait laboratories, Marcin Derlatka, Maria Skublewska-Paszkowska, Paweł Powroźnik, Jakub Smołka, Edyta Łukasik, Agnieszka Borysiewicz, Piotr Borkowski, Dariusz Czerwiński, Acta Mechanica et Automatica, 2024, vol. 18, nr 2, s. 361-366.
- Tennis Patterns Recognition Based on a Novel Tennis Dataset – 3DTennisDS, Maria Skublewska-Paszkowska, Paweł Powroźnik, Edyta Łukasik, Jakub Smołka, Advances in Science and Technology Research Journal, 2024, vol. 18, nr 6, s. 159-176.
- The impact of applying universal design principles on the usability of online accommodation booking websites, Katarzyna Kurek, Maria Skublewska-Paszkowska, Mariusz Dzieńkowski, Paweł Powroźnik, Applied Computer Science, 2024, vol. 20, nr 1, s. 56-71.
- Residual Attention Network for distinction between visible optic disc drusen and healthy optic discs, Katarzyna Nowomiejska, Paweł Powroźnik, Maria Skublewska-Paszkowska, Katarzyna Adamczyk, Marina Concilio, Liveta Sereikaite, Reda Zemaitiene, Mario Damiano Toro, Robert Rejdak, Optics and Lasers in Engineering, 2024, vol. 176, s. 1-12.
- Analysis of smooth and enhanced smooth quadrature-inspired generalized Choquet integral, Paweł Karczmarek, Adam Gregosiewicz, Zbigniew A. Łagodowski, Michał Dolecki, Łukasz Gałka, Paweł Powroźnik, Witold Pedrycz, Kamil Jonak, Fuzzy Sets and System, Volume 483, 1 May 2024, 108926.
- The impact of applying universal design principles on the usability of online accommodation booking websites, Katarzyna Kurek, Maria Skublewska-Paszkowska, Mariusz Dzieńkowski, Paweł Powroźnik, Applied Computer Science, 2024, vol. 20, nr 1, s. 56-71.
- 3D scanning digital models for virtual museums, Marcin Barszcz, Krzysztof Dziedzic, Maria Skublewska-Paszkowska, Paweł Powroźnik, Computer Animation and Virtual Worlds, 2023, vol. 34, nr 3-4.
- A Comparative Analysis of Image Segmentation Using Classical and Deep Learning Approach, Arsen Plaksyvyi, Maria Skublewska-Paszkowska, Paweł Powroźnik, Advances in Science and Technology Research Journal, 2023, vol. 17, nr 6, s. 127-139.
- Dual Attention Graph Convolutional Neural Network to Support Mocap Data Animation, Maria Skublewska-Paszkowska, Paweł Powroźnik, Marcin Barszcz, Krzysztof Dziedzic, Advances in Science and Technology Research Journal, 2023, vol. 17, nr 5, s. 313-325.
- Quadrature-Inspired Generalized Choquet Integral in an Application to Classification Problems, Paweł Karczmarek, Michał Dolecki, Paweł Powroźnik, Zbigniew A. Łagodowski, Adam Gregosiewicz, Łukasz Gałka, Witold Pedrycz, Dariusz Czerwiński, Kamil Jonak, IEEE Access, 2023, vol. 11, s. 124676-124689.
- Temporal Pattern Attention for Multivariate Time Series of Tennis Strokes Classification, Maria Skublewska-Paszkowska, Paweł Powroźnik,Sensors, 2023, vol. 23, nr 5, s. 1-16.
- Aggregation of Tennis Multivariate Time-Series Using the Choquet Integral and Its Generalizations, Maria Skublewska-Paszkowska, Paweł Karczmarek, Paweł Powroźnik, Edyta Łukasik, Jakub Smołka, Michał Dolecki,IEEE International Conference on Fuzzy Systems (FUZZ) 2023, s. 1-6.
