Clark Center, Room S324
I grew up in Yorkshire, UK to parents of Greek and British nationality. My Ph.D. research focused on developing a predictive modeling and simulation framework to identify individualized aspects of technique to improve sprinting performance. Outside of academia I enjoy reading STEM books, watching and playing sports (e.g., Soccer, Cricket and Basketball), meeting friends for coffee, hiking and travelling (Machu Pichu and the Camino de Santiago are on my list to visit).
I am interested in carrying out research for both sporting and clinical biomechanics applications. To date I have relied upon combining conventional biomechanical in vivo measurements together with state-of-the-art musculoskeletal modeling and optimal control simulation approaches to understand how athletes can potentially sprint faster. I also have a vested interest in further advancing the current modeling and simulation methods, especially with regards to modeling foot-ground contact and enabling the discovery of truly predictive simulated trajectories with high fidelity. As a Postdoctoral Research Scholar within the Wu Tsai Human Performance Alliance I aim to explore how stochastic optimal control and reinforcement learning methods can be applied to further our understanding of sporting performance.
- Ph.D. in Biomechanics, University of Bath, 2021
- M.S. in Biomechanics, Loughborough University, 2015
- B.S. in Exercise & Sport Science, Manchester Metropolitan University, 2014
Honors and Awards
- Estimating spinal loads in patients with spondyloarthritis from IMUs using direct collocation – Advanced OpenSim Workshop Travel Award, Stanford University, March 2020
- Department for Health Research Staff and Postgraduate Research Travel Award, University of Bath, May 2019
- Future Research Leaders Internationalisation Funding Scheme, University of Bath & Polytechnic University of Catalonia, April 2019
- Haralabidis, N., Serrancolí, G., Colyer, S., Bezodis, I., Salo, A. & Cazzola, D. (2021). Three-dimensional data-tracking simulations of sprinting using a direct collocation optimal control approach. PeerJ, 9, e10975. DOI: 10.7717/peerj.10975
- Haralabidis, N., Saxby, D.J., Pizzolato, C., Needham, L., Cazzola, D. & Minahan, C. (2020). Fusing accelerometry with videography to monitor the effect of fatigue on punching performance in elite boxers. Sensors, 20, 5749. DOI: 10.3390/s20205749
- Chrzanowski-Smith, O., Edinburgh, R., Thomas, M., Haralabidis, N., Williams, S., Betts, J. & Gonzalez, J. (2020). The day-to-day reliability of peak fat oxidation and FATMAX. European Journal of Applied Physiology, 120, 1745-1759. DOI: 10.1007/s00421-020-04397-3
- Kordi, M., Folland, J., Goodall, S, Haralabidis, N., Maden-Wilkinson, T., Patel, T., Leeder, J., Barratt, P. & Howatson, G. (2019). Mechanical and morphological determinants of peak power output in elite cyclists. Scandinavian Journal of Medicine In Sports. DOI: 10.1111/sms.13570
- Kordi, M., Haralabidis, N., Huby, M., Barratt, P., Howatson, G. & Wheat, J. (2019). Reliability and validity of depth camera 3D scanning to determine thigh volume. Journal of Sports Sciences, 37, 36-41. DOI: 10.1080/02640414.2018.1480857