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Dr Alan Godfrey

Associate Professor

Department: Computer and Information Sciences

Dr Godfrey is lead for his departments Digital Health & Wellbeing research group. He was UoA11 Deputy lead for REF2021 but is currently Impact Lead for the next REF submission. He is also Head of Degree Apprenticeships for his Department. 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 is in algorithms for data science and analytics in healthcare. This includes areas of artificial intelligence, machine learning, data mining and multidimensional signal processing. He has published 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 Maturitias and Associate Editor for Journal of NeuroEngineering & Rehabilitation. He is 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
  • Challenges and opportunities of deep learning for wearable-based objective sleep assessment, Zhai, B., Elder, G., Godfrey, A. 4 Apr 2024, In: npj Digital Medicine
  • Considering and understanding developmental and deployment barriers for wearable technologies in neuroscience, Wall, C., Celik, Y., Hetherington, V., McMeekin, P., Walker, R., Graham, L., Vitório, R., Godfrey, A. 27 Feb 2024, In: Frontiers in Neuroscience
  • Considering and understanding developmental and deployment barriers for wearable technologies in neurosciences, Wall, C., Celik, Y., Hetherington, V., McMeekin, P., Walker, R., Graham, L., Vitorio, R., Godfrey, A. 13 Mar 2024, In: Frontiers in Neuroscience
  • Contextualizing remote fall risk: Video data capture and implementing ethical AI, Moore, J., McMeekin, P., Parkes, T., Walker, R., Morris, R., Stuart, S., Hetherington, V., Godfrey, A. 6 Mar 2024, In: npj Digital Medicine
  • Coproduction and Usability of a Smartphone App for Falls Reporting in Parkinson Disease, Wales, J., Moore, J., Naisby, J., Ratcliffe, N., Barry, G., Amjad, A., Godfrey, A., Standerline, G., Webster, E., Morris, R. 1 Feb 2024, In: Physical Therapy
  • CSP2023: 398 - Exploring multimodal Sports Related Concussion (SRC) assessment, performed by a single clinician compared to the reference standard (SCAT5), Powell, D., Stuart, S., Godfrey, A. 18 Jun 2024, In: Physiotherapy
  • Enhancing fall risk assessment: instrumenting vision with deep learning during walks, Moore, J., Catena, R., Fournier, L., Jamali, P., McMeekin, P., Stuart, S., Walker, R., Salisbury, T., Godfrey, A. 22 Jun 2024, In: Journal of NeuroEngineering and Rehabilitation
  • Feasibility of Using Low-cost Markerless Motion Capture for Assessing Functional Outcomes after Lower Extremity Musculoskeletal Cancer Surgery, Furtado, S., Galna, B., Godfrey, A., Rochester, L., Gerrand, C. 28 Mar 2024, In: PLoS One
  • iVOMS: Instrumented Vestibular Ocular Motor Screen in healthy controls and mild traumatic brain injury, Graham, L., Powell, D., Campbell, K., Morris, R., Vitorio, R., Parrington, L., Antonellis, P., Godfrey, A., King, L., Stuart, S. 8 May 2024, In: Medical Engineering and Physics
  • Scalable (low-cost) approaches for remote and personalised rehabilitation, Wall, C., Godfrey, A. 1 Mar 2024, In: Maturitas

  • Conor Wall Multimodality in healthcare: The role of AI and digital biomarkers (Multi-Bio) Start Date: 01/10/2022
  • Dylan Powell Exploring use of wearables in the management of mild traumatic brain injury Start Date: 01/10/2019 End Date: 24/03/2023
  • Graham Coulby Personalised Environmental Monitoring Building of Occupants: Integration of Scalable Technologies Start Date: 12/04/2019 End Date: 23/12/2022
  • Jason Moore Understanding fall risk in real-world settings: A Deep Learning Approach to Video Based Environmental Classification Start Date: 01/10/2021
  • Fraser Young Beyond the lab: IoT-enabled multi-modal gait assessment Start Date: 01/09/2020
  • Yunus Celik Instrumenting gait in neurological disorders: Multi-modal approach using wearables Start Date: 01/10/2019 End Date: 01/10/2023
  • Graham Coulby Monitoring Building Occupants for Personalised Health and Wellbeing: Integration of Scalable Technologies Start Date: 12/04/2019 End Date: 24/09/2021

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

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