Dr Glory Abugu

Research Associate

Biomedical Engineering

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Personal statement

Dr Glory Uche Abugu is an Operational Research (OR) Analyst with keen interest in applying OR and analytics to support evidence-based decision making. She holds a PhD in Management Science from the University of Strathclyde. She has over 4 years experience leading and contributing to teaching and learning activities in Mathematics, Data and Business Analytics. She is a Fellow of the Higher Education Academy. Glory is currently a Postdoctoral Research Associate in Biomedical Engineering at University of Strathclyde where she supports an NHS board in optimising their health care data management and use of analytics to improve policies and outcome of health care delivery. Besides herĀ  teaching and research experiences, she has a growing interest and experience in knowledge exchange, having worked as a Research Assistant-Data Analyst in an interdisciplinary project during her PhD, as a Research Analyst with Police Scotland and in her current role with an NHS board.

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Publications

Efficient methods for the distance-based critical node detection problem in complex networks
Alozie Glory Uche, Arulselvan Ashwin, Akartunali Kerem, Pasiliao Jr Eduardo l
Computers & Operations Research Vol 131 (2021)
https://doi.org/10.1016/j.cor.2021.105254
A heuristic approach for the distance-based critical node detection problem in complex networks
Alozie Glory Uche, Arulselvan Ashwin, Akartunali Kerem, Pasiliao, Jr. Eduardo L
Journal of the Operational Research Society Vol 73, pp. 1347-1361 (2022)
https://doi.org/10.1080/01605682.2021.1913078
Acute kidney injury after primary hip and knee replacement : an 11-year review of 28,604 arthroplasty cases in a high-volume elective centre
Peters Jane, Abugu Glory, Chopra Swati, Clarke Jon, Wallace David, Mahmood Fahd, Holloway Nicholas
British Orthopaedic Association (BOA) Annual Congress 2025 (2025)
Anchor-based predictive modelling and receiver operating curve estimates of patient acceptable symptom state for the forgotten joint score in total knee arthroplasty patients stratified by age and gender
Abugu Glory Uche, Holloway Nicholas, Riches Philip, Clarke Jon, Giardini Mario Ettore, Chopra Swati
Journal of Clinical Epidemiology Vol 185 (2025)
https://doi.org/10.1016/j.jclinepi.2025.111897
Modeling and exact solution approaches for the distance-based critical node and edge detection problems
Alozie Glory, Akartunali Kerem, Arulselvan Ashwin
Optimization Essentials Theory, Tools, and Applications (2025) (2025)
https://doi.org/10.1007/978-981-99-5491-9_7
Patient acceptable symptom state threshold values for the forgotten joint score, Oxford hip score and EuroQol health index at 3 and 12 months after total hip arthroplasty
Abugu Glory, Holloway Nicholas, Clarke Jon, Riches Phil, Chopra Swati
Annual Scientific Meeting of the British Hip Society (2024)

More publications

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Contact

Dr Glory Abugu
Research Associate
Biomedical Engineering

Email: glory.alozie@strath.ac.uk
Tel: 548 3930