Jakub Smołka, Ph.D. (Eng.)
phone: +48 815384351
email: jakub.smolka@pollub.pl
Biography
Jakub Smołka works as a senior lecturer in the Department of Computer Science at the Lublin University of Technology in Lublin, Poland. He obtained his undergraduate degree in electrical engineering from Lublin University of Technology and his Ph.D. degree in Computer Science from the Silesian University of Technology. He contributed to the establishment of the Lublin University of Technology Motion Capture Lab.
Jakub Smołka’s research interests lie in motion capture, 3D motion analysis, programming, machine learning, data classification, and computer vision. He teaches courses on programming languages, Android mobile programming, and software development processeses.
Jakub Smołka has authored and co-authored many scientific publications, books, and monographs. He participates in securing grants e.g. “Expansion of the motion capture laboratory of the Department of Computer Science” (co-financing from the Ministry of Education and Science). He is also active in realization of scientific grants such as “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).
He is a member of Association for Image Processing.
- Motion capture
- 3D motion analysis
- Programming
- Machine learning
- Data classification
- Computer vision
- 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
- Recognition of human gait based on ground reaction forces and combined data from two gait laboratories, Marcin Derlatk, 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
- Relationship of lumbar-hip kinematics during trunk flexion and sex, body mass index, and self-reported energy expenditure: a cross-sectional analysis, Magdalena Zawadka, Jakub Smołka, Maria Skublewska-Paszkowska, Edyta Łukasik, Grzegorz Zieliński, Piotr Gawda, Acta of Bioengineering and Biomechanics, 2023, vol. 25, nr 1, s. 55-64
- The influence of sedentary behaviour on lumbar-pelvic kinematics during squatting and forward bending among physically active students, Magdalena Zawadka, Jakub Smołka, Maria Skublewska-Paszkowska, Edyta Łukasik, Mirosław Jabłoński, Piotr Gawda, Ergonomics, 2023, vol. 66, nr 1, s. 101-112
- Wydajność języków C++ oraz Java na platformie Android, Paweł Wlazło, Jakub Smołka, JCSI – Journal of Computer Sciences Institute, 2022, vol. 23, s. 135-139
- Evaluation of Flutter framework time efficiency in context of user interface tasks, Damian Białkowski, Jakub Smołka, JCSI – Journal of Computer Sciences Institute, 2022, vol. 25, s. 309-314
- Porównawnanie ekosystemów ASP.NET Core i Spring Boot, Petro Kopyl, Teofil Rozaliuk, Jakub Smołka, JCSI – Journal of Computer Sciences Institute, 2022, vol. 22, s. 40-45
- Preferencje współczesnych użytkowników aplikacji mobilnych, Kamil Kasztelan, Jakub Smołka, JCSI – Journal of Computer Sciences Institute, 2022, vol. 23, s. 71-76