Research Themes

Data Analytics Lab

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The Data Analytics Lab develops novel approaches for decision-making problems, based on machine learning and optimisation methods. It also applies advanced analytics and optimisation to infrastructure systems, logistics and supply chains, healthcare, and emergency response management.

The Data Analytics Lab focuses on the rapidly expanding area of business analytics and optimisation methods. These methods include different aspects of nature-inspired computing research work on neural networks, support vector machines, fuzzy logic and evolutionary computation. The lab applies advanced analytics and optimisation to infrastructure systems, logistics and supply chains, healthcare, and emergency response management. Such research can assist with providing better accuracy, computational time, and computational costs. Uses of these methods include pattern recognition and system modelling, intelligent control problems, and biomedical applications. The key areas of research include: predictive models for health care, image recognition, asset deterioration models, best next decision (PEGA).

Group Lead 

Last reviewed: 16 November, 2018