Professor Michael Fagan

Professor Michael Fagan

Professor of Medical and Biological Engineering

Faculty and Department

  • Faculty of Science and Engineering
  • Department of Engineering

Summary

Professor Fagan is Professor Medical and Biological Engineering and research lead for Biomedical Engineering research in the Department of Engineering. His expertise lies is in modelling and simulation in biomechanics and biomedical engineering using finite element analysis and multibody dynamics analysis.

He is particularly interested in computational mechanobiology to understand the form and function of bone(s) using mathematical and advanced modelling techniques, at the cellular, tissue and whole bone level, with a special interest in skull biomechanics (with Dr Peter Watson). This includes fundamental investigations into the form and function of different skull types, as well as more applied craniofacial research examining craniosynostosis, dental biomechanics and cleft lip and palate, and most recently BBSRC-funded 3Rs research to provide alternatives to animal experiments.

Professor Fagan’s other research interests include wound management research (with Dr Louise France) and he has been working with Smith and Nephew Wound Management (Hull) for more than 12 years. This collaboration culminated in the establishment of a university-wide wound care cluster between the University and S&N in 2018.

Finally, as part of a multi-centre EPSRC Prosperity Partnership on offshore wind, Professor Fagan is applying biomimetic principles to wind turbine blade design and examining whether cancellous bone-like structures could be used in next generation blade design.

Professor Fagan’s multidisciplinary research funding comes from a wide variety of society, including Action Medical Research, BBSRC, EPSRC, EU, NERC, the Royal Society and Wellcome Trust.

Recent outputs

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Journal Article

Mathematical modeling of canonical and non-canonical NF-?B pathways in TNF stimulation

Ji, B., Zhang, Y., Zhen, C., Fagan, M. J., & Yang, Q. (2020). Mathematical modeling of canonical and non-canonical NF-?B pathways in TNF stimulation. Computer Methods and Programs in Biomedicine, 196, https://doi.org/10.1016/j.cmpb.2020.105677

The influence of musculoskeletal forces on the growth of the prenatal cortex in the ilium: a finite element study

Watson, P. J., Fagan, M. J., & Dobson, C. A. (in press). The influence of musculoskeletal forces on the growth of the prenatal cortex in the ilium: a finite element study. Computer methods in biomechanics and biomedical engineering, https://doi.org/10.1080/10255842.2020.1777546

Towards an early 3D-diagnosis of craniofacial asymmetry by computing the accurate midplane: A PCA-based method

Ortún-Terrazas, J., Fagan, M. J., Cegoñino, J., Illipronti-Filho, E., & Pérez del Palomar, A. (2020). Towards an early 3D-diagnosis of craniofacial asymmetry by computing the accurate midplane: A PCA-based method. Computer Methods and Programs in Biomedicine, 191, https://doi.org/10.1016/j.cmpb.2020.105397

A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth

Pinheiro, M., Ma, X., Fagan, M. J., McIntyre, G. T., Lin, P., Sivamurthy, G., & Mossey, P. A. (2019). A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth. Journal of Biological Engineering, 13(1), https://doi.org/10.1186/s13036-019-0171-6

Neurocranial development of the coelacanth and the evolution of the sarcopterygian head

Dutel, H., Galland, M., Tafforeau, P., Long, J. A., Fagan, M. J., Janvier, P., …Herbin, M. (2019). Neurocranial development of the coelacanth and the evolution of the sarcopterygian head. Nature, 569, 556–559. https://doi.org/10.1038/s41586-019-1117-3