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

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.
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., 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