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Merve Bodur is a Reader in the School of Mathematics at the University of Edinburgh. She specializes in various methodologies including Stochastic Programming, Robust Optimization, (Approximate) Dynamic Programming, Integer Programming, Combinatorial Optimization, Multiobjective Optimization, and Inverse Optimization. Her research focuses on the application of these methodologies in different areas such as Decision Making Under Uncertainty, Healthcare, Transportation, Telecommunication, Service System Staffing Scheduling, Power Systems, and Networks. Merve is actively involved in Operational Research and Optimization research groups, contributing to the development of solutions for complex decision-making problems in real-world applications. She has a robust publication record which reflects her commitment to advancing the field through both theoretical and applied research.
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