معرفی
Saša Veličković is an academic affiliated with Singidunum University in Belgrade, Serbia. His primary role involves research and education in sports science, particularly focusing on gymnastics and biomechanics. He holds a doctoral degree from the Faculty of Sport and Physical Education at the University of Novi Sad (2003–2006).
His research interests center on biomechanical analysis of gymnastics techniques, motor fitness development through acrobatics programs, injury prevention in artistic gymnastics, and the application of machine learning for performance prediction. He has contributed to over 30 peer-reviewed publications across journals like International Journal of Euro-Mediterranean Studies, Frontiers in Psychology, and Science of Gymnastics Journal.
Key trends in his work include: 1) biomechanical modeling of elite gymnastics movements, 2) gender-specific performance predictors using data science, and 3) the physiological impact of strength training on competition outcomes. His collaboration network spans Serbian and international institutions.
No formal teaching awards were listed, though his work has practical implications for sports education programs. He has advised/co-authored with multiple researchers but no formal student-mentor relationships were explicitly stated. Active involvement in academic conferences (e.g., FIS Communications) and textbook authorship (e.g., Sports Gymnastics) underscores his contributions to both research and pedagogy.
