Dr Ziyun Ding PhD, FHEA

Dr Ziyun Ding

Department of Mechanical Engineering

Contact details

University of Birmingham
B15 2TT

Dr Ziyun Ding is a lecturer in the Department of Mechanical Engineering, School of Engineering.

She has broad interests in the field of computational biomechanics, focusing on the in-vivo and in-silico studies of human locomotion, anatomy, and musculoskeletal system, in order to improve the understanding of mechanical functions underlying the musculoskeletal injury and disease. Her most recent research combines medical imaging with computational modelling to study the lower limb amputee biomechanics in order to design personalised mitigation strategies in rehabilitation, surgical interventions and prosthesis.


  • Associate Fellow of The Higher Education Academy, 2019
  • PhD in Engineering, University of Liverpool, UK, 2013
  • MEng in Mechanical Engineering, Nanjing University of Aeronautics and Astronautics, China, 2009
  • BEng in Mechanical Engineering, Nanjing University of Aeronautics and Astronautics, China, 2006


Ziyun received her PhD in 2013 from the University of Liverpool. Her PhD thesis entitled “Manual Assembly Modelling and Simulation for Ergonomics Analysis” was conducted across the Virtual Engineering Centre (VEC) and the School of Engineering.

She joined in the Department of Bioengineering, Imperial College London, as a research associate in 2014. Her research focused on the development and validation of personalised musculoskeletal model. The high-fidelity computational model has contributed to improve the movement strategies and rehabilitation technologies for patients with knee osteoarthritis and anterior cruciate ligament (ACL) injury. She joined in the Royal British Legion Centre for Blast Injuries Studies (CBIS), Imperial College London in 2015. Based on computational musculoskeletal modelling her research aimed to design and optimise the mitigation strategies for lower limb military amputees in order to reduce the injury burden in the amputated musculoskeletal system. She joined in the Department of Mechanical Engineering, University of Birmingham in 2019 as a lecturer.

Birmingham Biomechanics Laboratory website


Mechanical Engineering

Postgraduate supervision

Ziyun takes multi-disciplinary approach to study mechanics underlying lower limb musculoskeletal injury and disease.  Students with interest in the following research topic are encouraged to contact Dr. Ziyun Ding (z.ding@bham.ac.uk) and seek funding opportunities.

Research topics

  • Computational musculoskeletal modelling;
  • Human anatomy;
  • Medical imaging processing;
  • Signal control and processing;
  • Finite element modelling;
  • Prosthesis and orthosis;
  • Ergonomics analysis.


Ziyun’s research applies model-based methodologies to study patient-specific mappings between locomotion, musculoskeletal system and mechanics, in order to design and develop clinically viable technologies for patient-accessible and patient-centred interventions, and targets at potential audients with lower limb musculoskeletal injury and disease.

Other activities

Journal Reviewer:

Gait & Posture, Computer Methods in Biomechanics and Biomedical Engineering, Human Factors and Ergonomics in Manufacturing & Service Industries, Journal of Engineering in Medicine, International Biomechanics

Professional membership:

European Society of Biomechanics


Journal Article

1. Ding Z, Güdel M, Smith SHL, Ademefun RA, Bull AMJ., (2019), A Femoral Clamp to Reduce Soft Tissue Artefact: Accuracy and Reliability in Measuring Three-Dimensional Knee Kinematics During Gait, Journal of Biomechanical Engineering.

2. Ding Z, Tsang C, Nolte D, Kedgley AE, Bull AMJ., (2019), Improving musculoskeletal model scaling using an anatomical atlas: the importance of gender and anthropometric similarity to quantify joint reaction forces, IEEE Transactions on Biomedical Engineering.

3. Klemt C, Nolte D, Ding Z, Rane L, Quest RA, Finnegan ME, Walker M, Reilly P, Bull AMJ., (2019), Anthropometric Scaling of Anatomical Datasets for Subject-Specific Musculoskeletal Modelling of the Shoulder, Annals of Biomedical Engineering, 47(4): 924-936.

4. Rane L, Ding Z, McGregor AH, Bull AMJ., (2019), Deep learning for musculoskeletal force prediction, Annals of Biomedical Engineering, 47(3): 778-789

5. Xu R, Ming D, Ding Z, Bull AMJ., (2019), Extra Excitation of Biceps Femoris during NMES Reduces Knee Medial Loading, Royal Society Open Science, 6(3): 181545

6. Ding Z, Azmi NL, Bull AMJ., (2019), Validation and use of a musculoskeletal gait model to study the role of functional electrical stimulation, IEEE Transactions on Biomedical Engineering, 66: 892-897

7. Azmi NL, Ding Z, Xu R, Bull AMJ., (2018), Activation of biceps femoris long head reduces tibiofemoral anterior shear force and tibial internal rotation torque in healthy subjects, PLoS ONE,13(1): e0190672

8. Nolte D, Tsang CK, Zhang KY, Ding Z, Kedgley AE, Bull, AMJ., (2016),Non-linear scaling of a musculoskeletal model of the lower limb using statistical shape models, Journal of biomechanics, 49(14), 3576-3581

9.Ding Z, Nolte D, Tsang CK, Cleather DJ, Kedgley AE, Bull AMJ., (2015), In Vivo Knee Contact Force Prediction Using Patient-Specific Musculoskeletal Geometry in a Segment-Based Computational Model., Journal of Biomechanical Engineering,138(2)

10. Ding Z, Hon B., (2013), Constraints analysis and evaluation of manual assembly, CIRP Annals, 62(1):1-4

View all publications in research portal