Djordje Slijepčević is a junior researcher at the Institute of Creative\Media/Technologies at St. Pölten University of Applied Sciences (Austria).

He graduated from the Vienna University of Technology (Austria) with a Master of Science in Computer Engineering in 2015. Since June 2016, Djordje has been involved in the IntelliGait project at FH St. Pölten (funded by the NÖ Forschungs- und Bildungsges.m.b.H.), in the field of Pattern Recognition and Machine Learning. His current research focus will also serve as a basis for a doctoral thesis in the framework of the doctoral program in Technical Sciences at Vienna University of Technology.

Recent Publications

Wagner, M., D. Slijepcevic, B. Horsak, A. Rind, M. Zeppelzauer, and W. Aigner, "KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis", IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. Early Access, 02/2018.
Slijepcevic, D., M. Zeppelzauer, A-M. Raberger, C. Schwab, M. Schüller, A. Baca, and C. Breiteneder, "Automatic Classification of Functional Gait Disorders", IEEE Journal of Biomedical and Health Informatics, vol. 22, issue 5, pp. 1653 - 1661, 09/2018.
Slijepcevic, D., Brian Horsak, C. Schwab, A-M. Raberger, M. Schüller, A. Baca, C. Breiteneder, and M. Zeppelzauer, "Ground reaction force measurements for gait classification tasks: Effects of different PCA-based representations", Gait & Posture, vol. 57, pp. 4-5, 08/2017.

Press articles