Maria Skublewska-Paszkowska, Ph.D. (Eng.)
email: maria.paszkowska@pollub.pl
Biography
Maria Skublewska-Paszkowska is an assistant 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 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.
- Motion Analysis
- 3D animation
- Modeling and analysing processes
- Database
- Image compression
- Image segmentation
- 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
- 3D technologies for intangible cultural heritage preservation—literature review for selected databases, Maria Skublewska-Paszkowska, Marek Miłosz, Paweł Powroźnik and Edyta Łukasik , Heritage Science, 2022, vol. 10, s. 1-2
- Analysis of the usability and accessibility of websites in view of their universal design principles, Błażej Badzio, Agnieszka Bodziak, Karol Buchajczuk, Bartłomiej Brodawka, Maria Skublewska-Paszkowska, Mariusz Dzieńkowski, Paweł Powroźnik, Applied Computer Science, 2022, vol. 18, nr 3, s. 63-85
- Aggregation of Tennis Groundstrokes on the Basis of the Choquet Integral and Its Generalizations, Maria Skublewska-Paszkowska, Paweł Powroźnik, Paweł Karczmarek, Edyta Łukasik, IEEE International Conference on Fuzzy Systems (FUZZ) 2022, s. 1-8
- Analysis of selected Lazgi dance sequences using three-dimensional motion capture data, Edyta Łukasik, Maria Skublewska-Paszkowska, Paweł Powroźnik, Jakub Smołka, Marek Miłosz, Dilbar Mukhamedova, Elżbieta Miłosz, Computer technologies in sharing the cultural heritage and education of the Silk Road from Uzbekistans, 2022, s. 107-118
- Analysis of Sub-Integral Functions in the Aggregation of Classification Results Using Generalizations of the Choquet Integral on the Example of Emotion Classification, Paweł Karczmarek, Paweł Powroźnik, Maria Skublewska-Paszkowska, Sławomir Przyłucki, Edyta Łukasik, IEEE International Conference on Fuzzy Systems (FUZZ) 2022, s. 1-8
- Attention Temporal Graph Convolutional Network for Tennis Groundstrokes Phases Classification, Maria Skublewska-Paszkowska, Paweł Powroźnik, Edyta Łukasik, IEEE International Conference on Fuzzy Systems (FUZZ) 2022, s. 1-8
- On the Detection of Anomalies with the Use of Choquet Integral and Their Interpretability in Motion Capture Data, Michał Dolecki, Paweł Karczmarek, Łukasz Gałka, Magdalena Zawadka, Jakub Smołka, Maria Skublewska-Paszkowska, Edyta Łukasik, Paweł Powroźnik, Piotr Gawda, Dariusz Czerwiński, IEEE International Conference on Fuzzy Systems (FUZZ) 2022, s. 1-9