Contact information
Research groups
Stephen Mellon
BSc (Hons) and PhD Biomedical Engineering
Associate Professor Orthopaedic Biomechanics
Stephen Mellon is now a Professor of Biomechanics and Orthopaedic Technology at the newly formed Biomedical Engineering Centre at the University of Southern Denmark in Odense. He has an ongoing honorary appointment as a researcher with NDORMS.
Stephen leads the development of CAT&MAUS (Computer-Aided Tracking and Motion Analysis with Ultrasound), a novel system designed to assess 3D joint motion using standard ultrasound imaging. In collaboration with Dr Jack Tu at NDORMS, CAT&MAUS is being developed and validated for clinical use, with the potential to transform how joint kinematics are evaluated in routine orthopaedic practice. This work is currently supported by the NIHR in a project which is co-lead by Dr. Simon Abram. CAT&MAUS has previously been supported by Versus Arthritis and internal translational funding schemes at Oxford, including the EPSRC Impact Acceleration Account and the Medical and Life Sciences Translational Fund (MLSTF). Our technology transfer officer is Serena de Nahlik at Oxford University Innovation.
At the Oxford Orthopaedic Engineering Centre (OOEC) continues to conduct translational research in orthopaedic biomechanics, with a focus on joint replacement outcomes, implant design, and dynamic joint assessment. With Dr Jack Tu and Prof. David Murray, their research investigates patient- and surgery-related factors that influence outcomes following knee and hip arthroplasty.
Stephen also collaborates with Prof. Maurice Fallon at the Oxford Robotics Institute, where they are exploring new approaches to navigated orthopaedic surgery, including infrastructure-free tracking systems that leverage computer vision.
Along with Prof. Amy Zavatsky and Prof. Siôn Glyn-Jones, Prof. Mellon is a DPhil supervisor at the Podium Institute for Sports Medicine and Technology, in areas related to biomechanics, imaging, and motion analysis.
Recent publications
DARK: dynamic graphs based angle-aware registration of knee ultrasound point clouds
Chapter
Hwang I. et al, (2025), 87 - 97
DG-PPU: dynamical graphs based post-processing of point clouds extracted from knee ultrasounds
Conference paper
Hwang I. et al, (2025), 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)
Finite element analysis and experimental verification of press-fit peg push-in and pull-out in trabecular bone analogue
Journal article
Min X. et al, (2025), Results in engineering, 25
Machine learning is better than surgeons at assessing unicompartmental knee replacement radiographs.
Journal article
Tu SJ. et al, (2025), Knee, 52, 212 - 219
Surgical factors that contribute to tibial periprosthetic fracture after cementless Oxford Unicompartmental Knee Replacement: a finite element analysis.
Journal article
Min X. et al, (2025), Front Bioeng Biotechnol, 13