Aakil Caunhye

Aakil Caunhye serves as a Senior Lecturer in Business Analytics and Programme Director for the MSc Management program at the University of Edinburgh's Business School, Department of Management Science and Business Economics. Previously holding positions as Lecturer (2018-2023) and School Senior Tutor (2021-2024), he has established himself as a leading researcher in optimization methodologies with applications in humanitarian logistics and critical infrastructure resilience.

His research interests span robust optimization, stochastic programming, cutting plane algorithms, and decision rules, with application areas including humanitarian logistics, engineering systems design, critical infrastructure resilience, power grid expansion planning, and route restoration. His recent work explores contextual optimization as a bridge between predictive and prescriptive analytics.

His publication portfolio demonstrates a strong focus on humanitarian applications of optimization techniques, with recent articles examining equitable disaster response planning, pandemic control strategies, and emergency supply pre-positioning. These works consistently apply advanced mathematical programming techniques to real-world problems with significant societal impact.

• IISE Transactions Design & Manufacturing best application paper (2019)
• IISE Transactions journal article featured in ISE Magazine (2017)
• Outstanding reviewer award for OR Spectrum (2025)
• Standard Chartered Bank Book Prize (2009)

Caunhye has secured significant research funding including a S$249,974.58 grant from Singapore's National Research Foundation for improving Mass Rapid Transit Network resilience, collaborating with institutions including MIT and UC Berkeley. He currently leads multiple research projects including Techo-Economic Modeling of Power Systems and Convex analysis for Effectiveness-Equity Measures. His teaching responsibilities include Principles of Data Analytics, Data Mining, and Prescriptive Analytics with Stochastic Programming.