Personal profile
Research areas
Stephen Mellon is Professor of Biomechanics and Orthopaedic Technology. His research focuses on developing new technologies to measure how bones and joints move in the human body, and applying these measurements to improve the diagnosis and treatment of musculoskeletal disorders.
He leads the development of CAT&MAUS (Computer-Aided Tracking and Motion Analysis with Ultrasound), a system designed to measure three-dimensional joint motion using standard ultrasound imaging. The technology aims to enable practical, radiation-free assessment of skeletal motion in clinical settings and to improve decision-making in orthopaedic surgery.
Stephen maintains an honorary research appointment at the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, where he continues to work with collaborators on the NIHR-funded (https://fundingawards.nihr.ac.uk/award/NIHR208521) clinical development and validation of CAT&MAUS.
At SDU and within the Biomedical Engineering Centre, he is establishing a research group focused on integrating ultrasound imaging, biomechanics, robotics, and computational modelling to develop new tools for understanding joint mechanics and improving orthopaedic care. This work is supported by an 8 million DKK Novo Nordisk Foundation Start Package grant over the next four years.
Stephen teaches biomechanics and biomedical engineering and supervises MSc, PhD, and postdoctoral researchers working at the intersection of imaging, motion analysis, and orthopaedic technology. He previously taught engineering mechanics and musculoskeletal biomechanics at the University of Oxford and continues to co-supervise doctoral students at NDORMS and the Podium Institute.
Current external positions
Honorary Researcher, University of Oxford
Fingerprint
- 1 Similar Researchers
Collaborations and top research areas from the last five years
Research output
-
DARK: Dynamic Graphs Based Angle-Aware Registration of Knee Ultrasound Point Clouds
Hwang, I., Mellon, S. & Tu, S. J., 2026, Simplifying Medical Ultrasound: 6th International Workshop, ASMUS 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 28, 2025, Proceedings. Ni, D., Noble, A., Huang, R. & Xue, W. (eds.). Springer, p. 87-97 (Lecture Notes in Computer Science, Vol. 16165).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
-
DG-PPU: Dynamical Graphs Based Post-Processing of Point Clouds Extracted from Knee Ultrasounds
Hwang, I., Saravanan, K., Coralli, C. V., Tu, S. J. & Mellon, S. J., 2025, ISBI 2025 - 2025 IEEE 22nd International Symposium on Biomedical Imaging, Proceedings. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
-
Finite element analysis and experimental verification of press-fit peg push-in and pull-out in trabecular bone analogue
Min, X., Heath, D., Rahman, A., Marks, L., Murray, D. & Mellon, S., Mar 2025, In: Results in Engineering . 25, 8 p., 104029.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
Machine learning is better than surgeons at assessing unicompartmental knee replacement radiographs
Tu, S. J., Kendrick, S., Saravanan, K., Dodd, C., Murray, D. W. & Mellon, S. J., Jan 2025, In: Knee. 52, p. 212-219 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
Surgical factors that contribute to tibial periprosthetic fracture after cementless Oxford Unicompartmental Knee Replacement: a finite element analysis
Min, X., Marks, L., Mellon, S., Hiranaka, T. & Murray, D., 2025, In: Frontiers in Bioengineering and Biotechnology. 13, 1543792.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access