Kinga Chwaleba, M.Sc. (Eng.)
phone: +48 815384765
email: k.chwaleba@pollub.pl
Biography
Kinga Chwaleba is an assistant at the Department of Computer Science at the Lublin University of Technology. She obtained her Engineering and Master’s degrees in Computer Science from Lublin University of Technology in 2021 and 2023 respectively. Her teaching areas focus on web technologies, Android mobile programming, artificial intelligence, and programming languages like Python, Java. Her research interests include programming, artificial intelligence, and convolutional neural networks.
Main areas of research
Newest publications
Main areas of research
- Programming
- Artificial intelligence
- Convolutional neural networks
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.
- Evaluating Usability and Accessibility of Visual Programming Tools for Novice Programmers—The Case of App Inventor, Scratch, and StarLogo, Kamil Żyła, Kinga Chwaleba, Dominik Choma, Applied Sciences, 2024, vol. 14 No. 21, 1–16.
- 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.
- Application of mel-spectrograms in Polish national music recognition – case study, Kinga Chwaleba. [In:] 2024 International Conference on Computational Intelligence, Information Technology and Systems Research (CITS ’24), Lublin, 14–17 May 2024.
- The efficiency and reliability of backend technologies: Express, Django, and Spring Boot, Dominik Choma, Kinga Chwaleba, Mariusz Dzieńkowski, Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2023, vol. 13 No. 4, 73–78.