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Non-linear cointegrating regression: Theory and Applications

This project will develop estimation and inference theory in non-linear cointegrating regression.  Empirical applications in money demand, trading data and various real time se more...

Supervisor(s): Wang, Qiying (Professor)

Semi-parametric estimation of Autoregressive Conditional Duration (ACD) models

Method of Maximum Likelihood (ML) is used to estimate ACD model parameters. Estimating Function (EF) is a popular semi-parametric approach in time series modelling. This project dev more...

Supervisor(s): Peiris, Shelton (Associate Professor)

Multivariate volatility models for high frequency data

Volatility forecast is important in risk management. However since volatility is unobserved, most volatility models like the GARCH models are based on daily return and model volatil more...

Supervisor(s): Chan, Jennifer (Associate Professor)

Novel inhalation formulation to improve quality of life of cystic fibrosis sufferers

Respiratory infection is the number one cause of death world-wide with limited therapies other than tablet or intravenous injection. This multi-faceted PhD project will focus on dev more...

Supervisor(s): Traini, Daniela (Professor)

Informative dropout model for Poisson count data

In biomedical research with longitudinal designs, missing values due to intermittent non-response or premature withdrawal are usually non-ignorable in the sense that unobs more...

Supervisor(s): Chan, Jennifer (Associate Professor)

Multimodal emotion recognition

This project aims to develop novel techniques for automatically recognizing emotions through combining physiology, behaviour, facial expressions and language. more...

Supervisor(s): Calvo, Rafael A. (Associate Professor)

Multimodal approaches for detecting attention in Human-Computer Interaction

Build computer systems that can recognize human emotions, and help us learn, work and collaborate in more satisfying ways. more...

Supervisor(s): Calvo, Rafael A. (Associate Professor)

Detection of Anomalous Variations in Dynamic Networks

The project aims to develop better algorithms for the modelling and study of dynamic networks. more...

Supervisor(s): Zomaya, Albert Y. (Professor)

Neural Field Theory and Brain Dynamics

This research area is concerned with developing better understanding of the structure and activity of the brain, especially through modeling the dynamics and interactions of its neu more...

Supervisor(s): Robinson, Peter (Professor)