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Dr Alan Godfrey

Associate Professor

School: Computer Science

Dr Godfrey is a digital health-based researcher. He was lead for his Departments/Schools Digital Health & Wellbeing research group (2020-2026) and was UoA11 Deputy lead for REF2021. He is Head of Degree Apprenticeships for his School.

He received his BEng in electronic engineering and PhD in biomedical electronics from the University of Limerick, Ireland. He also holds the MBA from Newcastle University. 

His major research interests are in wearable technology and algorithms for data science and analytics in healthcare. This includes areas of artificial intelligence (AI), machine learning, data mining and multidimensional signal processing. He has published well over 100 papers on those topics in various engineering and medical journals from a portfolio of translational-based research. He serves as Deputy Editor for npj/Nature Digital Medicine, Editor for Maturitas and Associate Editor for Journal of NeuroEngineering & Rehabilitation. He was previously an International Advisory board member for Physiological Measurement.

Dr Godfrey is a Member of the Institution Engineering Technology (MIET) and Senior Member of the Institution of Electrical and Electronic Engineering (SMIEEE). He is a Fellow of the Higher Education Academy (FHEA).

Alan Godfrey

Campus Address

Room 307
CiS Building


Bioinformatics, Connected Health, Healthcare Technology, Sports Technology, Wearable Systems

  • Please visit the Pure Research Information Portal for further information
  • A prospective analysis of falls in Parkinson’s Disease: Does physical capacity moderate the relationship between walking amount and falls rates?, McArdle, R., Alcock, L., Hunter, H., Galna, B., Godfrey, A., Lawson, R., Del Din, S., Yarnall, A., Klenk, J., Rochester, L. 13 Feb 2026, In: Journal of Parkinson's Disease
  • Co-designing the future: End-user involvement in digital interventions, Sacre, A., Godfrey, A. 14 Feb 2026, In: npj Digital Medicine
  • Multi-modal gait assessment in Parkinson's Disease: A pilot study examining the impact of terrain and environment, Celik, Y., Pearson-Noseworthy, L., Das, J., Stuart, S., Woo, W., Godfrey, A. 1 Mar 2026, In: Gait and Posture
  • Multimodal machine learning mobility assessment in Parkinson’s disease within supervised and unsupervised settings, Celik, Y., Kuduz, H., Vildan Engin, F., Kacar, F., Tarakci, E., Pearson-Noseworthy, L., Das, J., Stuart, S., Woo, W., Godfrey, A. 24 Feb 2026, In: Journal of NeuroEngineering and Rehabilitation
  • Parkinson’s disease gait rehabilitation at scale: Insights on personalised smartphone-based music cueing, Wall, C., Sacre, A., McMeekin, P., Walker, R., Hetherington, V., Celik, Y., Vitório, R., Morris, R., Godfrey, A. 5 Jan 2026, In: PLoS One
  • Too many bits: tackling the waste epidemic in digital medicine, Wall, C., Li Stange, L., Solba, H., Gillespie, B., Parks, D., Godfrey, A. 23 Feb 2026, In: npj Digital Medicine
  • Ubiquitous monitoring of the environment and menopause, Celik, Y., Godfrey, A. 1 Mar 2026, In: Maturitas
  • Artificial Intelligence Approaches in Sport, Young, F., Godfrey, A. 29 Sep 2025, Routledge Handbook of Sports Technology and Engineering, London, United Kingdom, Routledge

Conor Wall CuePD: Investigating the Effect of Personalised Auditory Cueing on Gait in Parkinson's Disease Start Date: 01/10/2022 End Date: 01/10/2025

  • Business Administration MBA August 31 2017
  • Bioinformatics PhD November 06 2008
  • Engineering BEng June 28 2004
  • Fellow of the Higher Education Academy FHEA


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