Rate My Professor Lily Wong

Lily Wong's research interests center on Applied Mathematics and Operations Research. She develops and modifies metaheuristic algorithms, particularly Ant Colony Optimization (ACO), to solve supply chain management challenges including the Inventory Routing Problem (IRP) in split delivery, multi-product, and stochastic contexts. Her investigations also include other evolutionary methods such as Artificial Bee Colony (ABC) and Genetic Algorithms (GA) applied to location routing, network routing, and job-shop scheduling problems. Notable publications comprise "Ant colony optimization for split delivery inventory routing problem" (Malaysian Journal of Computer Science, 2017), "Enhanced ant colony optimization for inventory routing problem" (22nd National Symposium on Mathematical Sciences, 2015), "A modified ant colony optimization to solve multi products inventory routing problem" (21st National Symposium on Mathematical Sciences, 2014), "Ant colony optimization for one-to-many network inventory routing problem" (IEEE International Conference on Industrial Engineering and Engineering Management, 2014), and "Population based ant colony optimization for inventory routing problem" (2014). Dr. Wong teaches ENG1090 - Foundation Mathematics and ENG2005 - Advanced Engineering Mathematics, supervises postgraduate theses on optimization topics, and recently co-authored "Explainable multi-modal approach for uncovering key predictors of stroke risk from ECG, EMG, blood pressure and respiratory signals" (Scientific Reports, 2026) with the Department of Electrical and Robotics Engineering.