Heinrich Dieter
Name: Ass.-Prof. Dr. Dieter Heinrich
Email: Dieter.Heinrich[at]uibk.ac.at
Phone number: +43 512 507 45867
Office location: PT-114 (Pulverturm)
Tutorial hours: On request
Address: Fürstenweg 189, 6020, Innsbruck
ORCID ID: https://orcid.org/0000-0001-5115-0605
Research area: Biomechanics, Neurophysiology of exercise
Dieter Heinrich is an assistant professor (tenure track) at the Department of sport Science of the University of Innsbruck, Austria. He received master’s degrees in Physical Education and Mathematics and his doctoral degree in sport Science from the University of Innsbruck. From 2012 till 2014, he was a postdoctoral researcher at the Center of Technology of Ski and Alpine sports in Innsbruck and from 2015 till 2019 a postdoctoral researcher at the Department of sport Science of the University of Innsbruck. He has been a visiting researcher in the Human Motion and Control Research Group of Professor Ton van den Bogert at the Cleveland State University.
Dr. Heinrich’s research focuses on the development of numerical methods for the simulation and optimal control of human movement and on modeling of the neuromusculoskeletal system. His long-term goal is to advance the field of computational biomechanics and to develop novel methods that can be applied for movement analysis, injury prevention and for performance optimization in athletes.
Teaching (ongoing):
- SE Seminar mit Bachelorarbeit
- PS Empirische Methoden
- UE Studiendesign und statistische Analyse
- UE Fußball
- UE Angewandte Biomechanik
Highlighted publications:
Heinrich, D., van den Bogert, A. J., Csapo, R., & Nachbauer, W. (2020). A model-based approach to predict neuromuscular control patterns that minimize ACL forces during jump landing. Computer methods in biomechanics and biomedical engineering, 1–11. Advance online publication. https://doi.org/10.1080/10255842.2020.1842376
Nitschke, M., Dorschky, E., Heinrich, D., Schlarb, H., Eskofier, B. M., Koelewijn, A. D., & van den Bogert, A. J. (2020). Efficient trajectory optimization for curved running using a 3D musculoskeletal model with implicit dynamics. Scientific reports, 10(1), 17655. https://doi.org/10.1038/s41598-020-73856-w
Koelewijn, A. D., Heinrich, D., & van den Bogert, A. J. (2019). Metabolic cost calculations of gait using musculoskeletal energy models, a comparison study. PloS one, 14(9), e0222037. https://doi.org/10.1371/journal.pone.0222037
Eberle, R., Heinrich, D., van den Bogert, A. J., Oberguggenberger, M., & Nachbauer, W. (2019). An approach to generate noncontact ACL-injury prone situations on a computer using kinematic data of non-injury situations and Monte Carlo simulation. Computer methods in biomechanics and biomedical engineering, 22(1), 3–10. https://doi.org/10.1080/10255842.2018.1522534
Heinrich, D., van den Bogert, A. J., & Nachbauer, W. (2018). Peak ACL force during jump landing in downhill skiing is less sensitive to landing height than landing position. British journal of sports medicine, 52(17), 1086–1090. https://doi.org/10.1136/bjsports-2017-098964
Eberle, R., Heinrich, D., Kaps, P., Oberguggenberger, M., & Nachbauer, W. (2017). Effect of ski boot rear stiffness (SBRS) on maximal ACL force during injury prone landing movements in alpine ski racing: A study with a musculoskeletal simulation model. Journal of sports sciences, 35(12), 1125–1133. https://doi.org/10.1080/02640414.2016.1211309
Heinrich, D., van den Bogert, A. J., & Nachbauer, W. (2014). Relationship between jump landing kinematics and peak ACL force during a jump in downhill skiing: a simulation study. Scandinavian journal of medicine & science in sports, 24(3), e180–e187. https://doi.org/10.1111/sms.12120
van den Bogert, A. J., Blana, D., & Heinrich, D. (2011). Implicit methods for efficient musculoskeletal simulation and optimal control. Procedia IUTAM, 2(2011), 297–316. https://doi.org/10.1016/j.piutam.2011.04.027