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Aakil Caunhye is a Senior Lecturer at the University of Edinburgh Business School, where he also serves as the Programme Director for the MSc in Management. His research focuses on optimization, mathematical programming, and decision-making under uncertainty, with a special interest in robust optimization and stochastic programming. In his work, he develops novel reformulations and algorithmic solution approaches for multi-stage robust optimization models and specializes in network optimization and combinatorial optimization. Aakil has applied his research findings to various significant domains, such as power grid expansion planning and disaster response planning, enhancing the resilience of critical infrastructure systems. He aims to merge contextual optimization tools with machine learning to solidify and extend links between these fields.
University of Edinburgh • Edinburgh, Scotland
Leading courses in Business Analytics and overseeing the MSc in Management program.
University of Edinburgh • Edinburgh, Scotland
Engaged in teaching and research activities.
National University of Singapore and ETH Zurich, Singapore-ETH Center • Singapore
Conducted research in optimization within a collaborative international framework.
National University of Singapore and ETH Zurich, Singapore-ETH Center • Singapore
Supported research projects with a focus on optimization and decision-making.
Nanyang Technological University • Singapore
Assisted in research and academic projects related to systems engineering.
Department of Marketing