Our People

Dr Yi-Chung Lin

Postdoctoral Research Fellow
School of Behavioural and Health Sciences

Areas of expertise: biomechanics; musculoskeletal modelling; human locomotion; muscle and joint function; inertial sensors

Phone: (03) 99533772

Email: Yi-Chung.Lin@acu.edu.au

Location: ACU Melbourne Campus

ORCID ID: 0000-0002-0352-2694

Dr Yi-Chung Lin joined the SPRINT (Sprot, Performance, Recovery, Injury & New Technologies) research centre as a postdoctoral research fellow in 2022. He is currently working on a project funded by the National Football League to validate the use of inertial measurement units (IMUs) to assess lower-limb running kinematics that can be implemented in an elite sporting environment. The goal is to explore the risk factors associated with hamstring injury and re-injury in collegiate American Footballers.

Dr Lin completed his PhD studies at the University of Florida under the supervision of Professor B. J. Fregly. One of the highlights of his PhD work was to develop and implement a novel surrogate contact modelling approach to simultaneously calculate lower-limb muscle and knee-joint contact forces during gait.

Upon completion of his PhD studies, Dr Lin continued his research in biomechanical engineering as a Postdoctoral Research Fellow at The University of Melbourne under the guidance of Professor Marcus Pandy. His research focused on developing a novel computational method for non-invasively evaluating muscle function. Dr Lin has implemented this new approach to study muscle coordination during various activities, including walking, jogging, sprinting, and stair ambulation. Dr Lin also implemented an implicit method for solving optimal control problems called 'direct collocation' to predict the biomechanics of human walking and running. The direction collocation method allows researchers to predict the variables of interest simultaneously for human movement, independent of experimental data. He has used this method to investigate the effects of varying muscle-tendon parameters on the performance of maximum-speed sprinting.

Download curriculum vitae

Academia profile

https://www.scopus.com/authid/detail.uri?authorId=13204462200

Select publications

Muscle function during human locomotion

• Lin, Y. C., & Pandy, M. G. (2021). How muscles maximize performance in accelerated sprinting. Scandinavian Journal of Medicine & Science in Sports, 31(10), 1882-1896. doi: 10.1111/sms.14021
• Ackland, D. C., Lin, Y. C., & Pandy, M. G. (2012). Sensitivity of model predictions of muscle function to changes in moment arms and muscle-tendon properties: a Monte-Carlo analysis. Journal of biomechanics, 45(8), 1463-1471. doi: 10.1016/j.jbiomech.2012.02.023
• Lin, Y. C., Kim, H. J., & Pandy, M. G. (2011). A computationally efficient method for assessing muscle function during human locomotion. International Journal for Numerical Methods in Biomedical Engineering, 27(3), 436-449. doi: 10.1002/cnm.1396
• Pandy, M. G., Lin, Y. C., & Kim, H. J. (2010). Muscle coordination of mediolateral balance in normal walking. Journal of biomechanics, 43(11), 2055-2064. doi: 10.1016/j.jbiomech.2010.04.010

Orthopaedic research

• Lin, Y. C., Walter, J. P., Banks, S. A., Pandy, M. G., & Fregly, B. J. (2010). Simultaneous prediction of muscle and contact forces in the knee during gait. Journal of biomechanics, 43(5), 945-952. doi: 10.1016/j.jbiomech.2009.10.048
• Fok, L. A., Schache, A. G., Crossley, K. M., Lin, Y. C., & Pandy, M. G. (2013). Patellofemoral joint loading during stair ambulation in people with patellofemoral osteoarthritis. Arthritis & Rheumatism, 65(8), 2059-2069. doi: 10.1002/art.38025

Predictive simulations

• Lin, Y. C., & Pandy M. G. (2022). Predictive Simulations of Human Sprinting: Effects of Muscle-Tendon Properties on Sprint Performance. Medicine and Science in Sports and Exercise, 54(11),1961-1972. doi: 10.1249/MSS.0000000000002978
• Lin, Y. C., Walter, J. P., & Pandy, M. G. (2018). Predictive simulations of neuromuscular coordination and joint-contact loading in human gait. Annals of biomedical engineering, 46(8), 1216-1227. doi: 10.1007/s10439-018-2026-6
• Porsa, S., Lin, Y. C., & Pandy, M. G. (2016). Direct methods for predicting movement biomechanics based upon optimal control theory with implementation in OpenSim. Annals of biomedical engineering, 44(8), 2542-2557. doi: 10.1007/s10439-015-1538-6

Projects

• 2021 - 2025, National Football League: Hamstring Injury (HAMIR) Index: A framework for injury mitigation strategies through innovative imaging, biomechanics, and data analytics. US$4 Million.
• 2021 - 2022, New technologies to model human locomotion: innovative and translational approaches with implications for human health. $150,000

Accolades and awards

• Scandinavian Journal of Medicine and Science in Sports Paper of the Year (2022)
• Richard Skalak Best Paper Award (2020)
• Annals of Biomedical Engineering Editor's Choice Award (2019)

Appointments

• Postdoctoral Research Fellow, University of Melbourne (2008 - 2022)
• Research Assistant, University of Florida (2002 - 2008)

Editorial roles

• Guest editor, Sensors, Special issue on "Human Movement Monitoring Using Wearable Sensor Technology", 2022-2023
• Guest editor, Life, Special issue on "Modelling and Simulation of Human Locomotion", 2021-2022

International journal review panels

Select journal reviewer:

• Annals of Biomedical Engineering
• Scientific Reports
• Journal of Sport and Health Science
• Journal of Orthopedic Research
• Journal of Biomechanics