Research Activities

Dr. Tiago G.  Russomanno focuses his research on performance analysis in sports and informatics. Mainly focus on new technologies applied to Handball, Wheelchair Rugby and Ultimate Frisbee. The current research areas are:

• Performance Analysis in sports.
• Drone technologies applied to ultimate Frisbee.
• Momentum analysis in team sports.
• Biomechanics of track and field.
• Position detection in Sports

He is responsible for the project:” Use of drones in sports - Position data and video for training and competition”.

Professional Career

• 2001: BSc in Physical Education and sports training (Unicamp)
• 2005: MSc in Physical Education in the area of Biodynamics of Human movement (Unicamp)
• 2011: PhD in Physical Education in the area of Biodynamics of Human movement (Unicamp)
• 2012: Specialization in Biochemistry of Sports (Unicamp)
• Since 2012: Associate Professor at the University of Brasilia
• 2023 : Data Scientist from DataScientest co-certified with Paris La Sorbonne University
• 2018 - 2023: Guest Researcher at the Chair of Performance Analysis and Sport Informatics
• Since 2024: Senior Lecture at the Chair of Performance Analysis and Sport Informatics

Selected Publications

Blauberger, P., Fukushima, T., Russomanno, T. G., & Lames, M. (2024). A Pilot Study in Sensor Instrumented Training (SIT) - Ground Contact Time for Monitoring Fatigue and Curve Running Technique. International Journal of Computer Science in Sport, 23, 1, 80-92. https://doi.org/10.2478/ijcss-2024-0005

Fukushima, T., Blauberger, P., Russomanno, T., & Lames, M. (2024). The potential of human pose estimation for motion capture in sports: a validation study. Sports Engineering. 27. DOI:10.1007/s12283-024-00460-w

Monteiro, R., Santos, C., Blauberger, P.,  Link, D., Russomanno, T., Tahara, A.,  Chinaglia, A., & Santiago, P. (2024). Enhancing soccer goalkeepers penalty dive kinematics with instructional video and laterality insights in field conditions. Scientific Reports. 14. DOI:10.1038/s41598-024-60074-x

Fukushima, T., da Silva, S.B., Ribeiro, R.A., Misuta, M., Russomanno, T. (2023). Can Pose Estimation be Used for Performance Analysis in the Shot Put - A Pilot Study. In: Baca, A., Exel, J. (eds) 13th World Congress of Performance Analysis of Sport and 13th International Symposium on Computer Science in Sport. IACSS&ISPAS 2022. Advances in Intelligent Systems and Computing, vol 1448. Springer, Cham. https://doi.org/10.1007/978-3-031-31772-9_10 

Kuhnen, G.; Guedes Russomanno, T.; Murgia, M.; Pillon, N.J.; Schönfelder, M.; Wackerhage, H. (2022). Genes Whose Gain or Loss of Function Changes Type 1, 2A, 2X, or 2B Muscle Fibre Proportions in Mice—A Systematic Review. Int. J. Mol. Sci. , 23, 12933. https://doi.org/10.3390/ijms232112933 

Russomanno, T. G., Blauberger, P., Kolbinger, O., Lam, H., Schmid, M., and Lames, M.(2022). Drone-Based Position Detection in Sports—Validation and Applications. Frontiers in Physiology 13, https://doi.org/10.3389/fphys.2022.850512

Lam, H., Kolbinger, O., Lames, M., & Russomanno, T.G. (2021). State Transition Modeling in Ultimate Frisbee: Adaptation of a Promising Method for Performance Analysis in Invasion Sports. Frontiers in Psychology, 12,https://doi.org/10.3389/fpsyg.2021.664511

Russomanno, T., Lam, H., Knopp, M., Huang, H., Stadtlander, T., and Lames, M. (2021). Within-Match Performance Dynamics - Momentary Strength in Handball. Journal of Human Kinetics 79, 211-219. doi: 10.2478/hukin-2021-0073.

Russomanno, T., Linke, D., Geromiller, M. & Lames, M. (2019). Performance of Performance Indicators in Football. In M. Lames, A. Danilov, E. Timme & Y. Vassilevski (Eds.), Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019) (pp. 36-44). Heidelberg: Springer.