معرفی
Dr. Betul Gumus serves as a Senior Lecturer in Business Analytics within the Department of Strategy, Analytics and Operations at Nottingham Business School, Nottingham Trent University. Her teaching spans undergraduate and postgraduate programs including Business Analytics, Predictive and Prescriptive Analytics, and Principles of Management modules.
Her academic qualifications comprise:
- PhD in Operational Research from the University of Nottingham
- MSc in Operational Research and Performance Management from Aston Business School
- BEng in Industrial Engineering from Yildiz Technical University, Istanbul
Her research operates at the intersection of Operational Research, Computer Science, and Artificial Intelligence, with primary focus on optimisation of complex real-world problems through metaheuristics. Key specializations include parameter tuning, intelligent decision support systems, multi-criteria decision making, and data analytics, often applied to cross-domain challenges requiring computational efficiency.
Analysis of her 2016-2023 publications reveals consistent investigation into memetic algorithm optimisation, particularly through F-Race training strategies and Taguchi methods for parameter tuning. Her work demonstrates significant focus on reducing computational time budgets while maintaining robustness across diverse problem domains, reflecting practical applications in business analytics.
No scientific awards were documented in the available sources.
She actively supervises undergraduate and postgraduate research projects across Nottingham Business School programs. No specific research grants were referenced in the provided materials.
