Weronika Wach, M.Sc. (Eng.)
phone: +48 815384765
email: w.wach@pollub.pl
Biography
Weronika Wach is an assistant at the Department of Computer Science at the Lublin University of Technology, where she obtained her Engineering and Master’s degrees in Computer Science in 2021 and 2023 respectively. Her teaching areas concern programming languages, fundamentals of programming paradigms, component approach to application development and Universal Design in computer science. Her main areas of research are motion analysis using motion capture systems, machine learning and usability of graphical interfaces.
Main areas of research
Newest publications
Main areas of research
- Motion analysis
- Motion capture
- Machine learning
- Usability of graphical interfaces
Newest publications
- A convolutional neural network-driven model with adaptive feature fusion for Polish national dance music recognition, Kinga Chwaleba, Weronika Wach, Advances in Science and Technology Research Journal, 2026, vol. 20 No. 1, 354–372.
- Bringing rigid bodies to life: Immersion study in motion capture-based virtual realistic animation of vehicle movement, Weronika Wach, Kinga Chwaleba, Advances in Science and Technology Research Journal, 2026, vol. 20 No. 2, 15–32.
- 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.
- 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.
- Polish dance music classification based on mel spectrogram decomposition, Kinga Chwaleba, Weronika Wach, Advances in Science and Technology Research Journal, 2025, vol. 19 No. 2, 95–113.
- Polish National Dance Music Identification Based on a Convolutional Neural Network Utilizing Adaptive Feature Fusion, Kinga Chwaleba, Weronika Wach. [In:] International Conference: Modern Information Technologies for Society (MITS’2025): Book of Abstracts, 2025, 21–21.
- The VR Animation of Rigid Bodies with Dedicated Motion Development in Immersion Study, Weronika Wach, Kinga Chwaleba. [In:] International Conference: Modern Information Technologies for Society (MITS’2025): Book of Abstracts, 2025, 39–39.
- Gap filling algorithm for motion capture data to create realistic vehicle animation, Weronika Wach, Kinga Chwaleba, Applied Computer Science, 2024, vol. 20 No. 3, 17–33. DOI: https://doi.org/10.35784/acs-2024-26.
- Registering vehicle movements using motion capture data – methodology and further implementations, Weronika Wach. [In:] 2024 International Conference on Computational Intelligence, Information Technology and Systems Research (CITS ’24), Lublin, 14–17 May 2024.
- Analysis of how universal design principles impact on the perception of virtual museum interfaces, Dawid Nicpoń, Weronika Wach, Maria Skublewska-Paszkowska, JCSI – Journal of Computer Sciences Institute, 2023, vol. 28, 279–284.