
Chandula Fernando
Chandula is a PhD student at The University of Melbourne. Her research interests lie at the intersection of optimisation and statistics, with a focus on stochastic multi-objective optimisation methods. She is currently working on the project titled “Stochastic Multi-Objective Optimisation for Optimal Survey Design” with the Australian Bureau of Statistics (ABS), where the goal is to balance competing objectives such as cost and statistical uncertainty in large-scale population surveys. Her research involves developing new continuous, multi-objective optimisation algorithms, establishing their theoretical guarantees such as convergence and complexity bounds, and applying these methods to improve and automate real-world survey design processes. She is supervised by Dr. Lindon Roberts, Professor Howard Bondell, and ABS partners Mr. Lyndon Ang, and Dr. Ryan Alexander Covey.