Maria Skublewska-Paszkowska, Ph.D. D.Sc. (Eng.)
email: maria.paszkowska@pollub.pl
Biography
Maria Skublewska-Paszkowska is an Associate Professor at the Department of Computer Science at the Lublin University of Technology. She graduated Computer Science at the Lublin University of Technology in Lublin, Poland. In 2009 she received her Ph.D. title at the Silesian University of Technology in Gliwice, Poland. She received the D.Sc. degree in 2025. She took part in establishing the Vicon motion capture laboratory at the Lublin University of Technology. Her main research interests are focused on motion capture, 3D motion analysis, machine learning, data classification, computer vision, analysis of the usability of graphical interfaces, and intangible cultural heritage. Her teaching areas concern programming languages, mobile iOS programming, databases, designing and implementation of information systems.
She is the author and co-author of many scientific publications, books and monographs. She participates in educational and scientific national and international grants. She is active in obtaining grants, e.g. ”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), and “Expansion of the motion capture laboratory of the Department of Computer Science” (co-financing from the Ministry of Education and Science).
She is a member of IEEE, Polish IT Society, Association for Image Processing, Lublin Scientific Society, and Polish Artificial Intelligence Association.
- Motion Analysis
- 3D animation
- Modeling and analysing processes
- Database
- Image compression
- Image segmentation
- 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.
- Effect of Limited Ankle Dorsiflexion on Lower Limbs and Trunk Kinematics During Squatting, Magdalena Zawadka, Jakub Smołka, Maria Skublewska-Paszkowska, Edyta Łukasik, Piotr Gawda, Journal of Manipulative and Physiological Therapeutics, 2025, vol. 48 No. 1–5, 395–403.
- Image classification using PyTorch and Core ML, Jakub Ślusarski, Arkadiusz Szumny, Maria Skublewska-Paszkowska, JCSI – Journal of Computer Sciences Institute, 2025, vol. 36, 303–311.
- Performance evaluation of REST and GraphQL API approaches in data retrieval scenarios using NestJS, Kacper Stępień, Maria Skublewska-Paszkowska, JCSI – Journal of Computer Sciences Institute, 2025, vol. 36, 350–356.
- Methods for Comparing Three-Dimensional Motion Trajectories, Tomasz Waldemar Samorow, Maria Skublewska-Paszkowska, JCSI – Journal of Computer Sciences Institute, 2025, vol. 37, 399–404.
- Websites accessibility assessment of voivodeship cities in Poland, Kacper Czajka, Maria Skublewska-Paszkowska, JCSI – Journal of Computer Sciences Institute, 2025, vol. 37, 418–425.
- Influence of activation function in deep learning for cutaneous melanoma identification, Adrian Szymczyk, Maria Skublewska-Paszkowska, JCSI – Journal of Computer Sciences Institute, 2025, vol. 37, 492–499.
- Tennis Motion Recognition: Design of Classification Approaches and Experimental Studies, Maria Skublewska-Paszkowska, Lublin: Wydawnictwo Politechniki Lubelskiej, 2024, 201 p., ISBN 978-83-7947-607-7, 978-83-7947-608-4.
- 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 Lukasik, Jakub Smolka, 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.
- 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.
- 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.
- The Periodicity Detection of the Substitution Box in the CBC mode: Experiment and Study, Zhanna Alimzhanova, Maria Skublewska-Paszkowska, Dauren Nazarbayev, IEEE Access, 2023, vol. 11, s. 1-10.
- 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.
