Dr. Irene received her BEng degree from Universiti Teknologi Malaysia and PhD degree in University of Nottingham, Malaysia. Her PhD research revolved in the area of process integration for resource conservation. She is using advanced mathematical modelling tools such as GAMS and LINGO to perform process system optimization. Her latest work is to apply artificial neural network into data-driven process optimization.  Dr. Irene is currently supervising two PhD. students and one Master student. The projects are funded by Monash scholarship and Ministry of Higher Education.

Due to the enforcement of environmental regulatory rules and increasing electricity prices, waste heat recovery refrigeration system is gaining widespread attention in reducing the dependency on electricity-driven refrigeration system. Nevertheless, its application in industrial operation is subjected to various challenges in both technical and cost aspects. In that, different modelling approaches are adopted to overcome these challenges. These include the mathematical modelling and superstructure optimization for technology selection and economic analysis, monte-carlo analysis for uncertainty modelling, and artificial neural network for data-driven predictive modelling.

• CHE4173 - Sustainable Processing 2
• CHE2162 - Material and Energy Balances