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. He is 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).

Campus Address

Room 307
CiS Building

Email Alan

Research Themes and Scholarly Interests

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

Key Publications

Please visit the Pure Research Information Portal for further information
Active Rehabilitation Following Acute Mild Traumatic Brain Injury: A Systematic Review, Coman, B., Powell, D., Das, J., Graham, L., Mason, R., Harrison, M., Rae, G., Vitorio, R., Godfrey, A., Stuart, S. 29 Aug 2024, In: Physiotherapy Canada. Physiotherapie Canada
Artificial Intelligence Approaches in Sport, Young, F., Godfrey, A. Feb 2024, Routledge Handbook of Sports Technology and Engineering, Abingdon, Routledge
Assessment of Visual Attention in Teams with or without Dedicated Team Leaders: A Neonatal Simulation-Based Pilot Randomised Cross-Over Trial Utilising Low-Cost Eye-Tracking Technology, Loganathan, P., Garg, A., McNicol, R., Wall, C., Pointon, M., McMeekin, P., Godfrey, A., Wagner, M., Roehr, C. 21 Aug 2024, In: Children
Better understanding fall risk: AI-based computer vision for contextual gait assessment, Moore, J., McMeekin, P., Stuart, S., Morris, R., Celik, Y., Walker, R., Hetherington, V., Godfrey, A. 1 Nov 2024, In: Maturitas
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 neurosciences, Wall, C., Celik, Y., Hetherington, V., McMeekin, P., Walker, R., Graham, L., Vitorio, R., Godfrey, A. 13 Mar 2024, In: Frontiers in Neuroscience
Contextualising free-living gait with computer vision, Moore, J., Godfrey, A. 14 Jul 2024, In: Maturitas
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

Professional Activity

Please visit the Pure Research Information Portal for further information
Other: A range of perspectives for concussion management in men’s rugby union 2021

PGR Supervision

Jason Moore Understanding fall risk in real-world settings: A Deep Learning Approach to Video Based Environmental Classification Start Date: 01/10/2021 End Date: 17/07/2024
Graham Coulby Personalised Environmental Monitoring Building of Occupants: Integration of Scalable Technologies Start Date: 12/04/2019 End Date: 23/12/2022
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 Monitoring Building Occupants for Personalised Health and Wellbeing: Integration of Scalable Technologies Start Date: 12/04/2019 End Date: 24/09/2021
Yunus Celik Instrumenting gait in neurological disorders: Multi-modal approach using wearables Start Date: 01/10/2019 End Date: 01/10/2023
Dylan Powell WEARABLES AS OBJECTIVE TOOLS IN THE MONITORING OF SPORTS RELATED CONCUSSION Start Date: 01/10/2019 End Date: 18/01/2022
Fraser Young Improving the validity, Accessibility and Applicability of Low-Cost Gait Assessment Start Date: 01/09/2020 End Date: 11/10/2024
Conor Wall Multimodality in healthcare: The role of AI and digital biomarkers (Multi-Bio) Start Date: 01/10/2022

Qualifications

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

Links

Northumbria Open Days

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Research at Northumbria

Research is the life blood of a University and at Northumbria University we pride ourselves on research that makes a difference; research that has application and affects people's lives.