This project area aims to utilise and develop traditional and advanced data analytics models such as Fuzzy sets, Multiple Criteria Decision models, Agent based modelling, Bayesian modelling, deep learning models etc. to solve real world challenges. Both applied and theoretical research is of our interests.
Key Project Areas: a) Education Analytics: Analyse various education data such as student interaction, satisfaction survey to improve education delivery. b) Supply Chain and Scheduling: Improving vehicle routing and scheduling for various businesses. c) Business Decision making: business process modelling and decision support through big data analytics. d) Theoretical framework: Developing and improving fundamental optimisation models. (Requires good statistical & mathematical background)
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