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Scalable Visual Analytics

Visual analytics is the science of analytical reasoning facilitated by interactive visual interface. This project aims to design and evaluate new visual representations and interact more...

Supervisor(s): Hong, Seok-Hee (Professor)

Chronic illness in adolescents – promoting self management

The self-management clinic for adolescents with chronic physical illness runs within the Department of Adolescent Medicine and is set up as a research clinic with pre- and post-inte more...

Supervisor(s): Steinbeck, Kate (Professor)

Drawing Algorithms for Almost Planar Graphs

The project aims to develop graph drawing algorithms under a number of constraints related to planarity. more...

Supervisor(s): Hong, Seok-Hee (Professor)

Algorithms for Drawing Non-Planar Graphs in Three Dimensions

The project aims to design and implement new graph drawing algorithms for non-planar graphs in three dimensions, under a number of new design constraints. more...

Supervisor(s): Hong, Seok-Hee (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)

MultiPlane Graph Embedding (2.5D Graph Embeddability)

The mathematics of embeddings of graphs in three dimensions with constraints using a set of 2D planes, called MultiPlane or 2.5D representation. more...

Supervisor(s): Hong, Seok-Hee (Professor)

Visualization and Analysis of Large and Complex Biological Networks and Social Networks

This project aims to design, implement and evaluate new analysis, visualization and interaction techniques for large and complex networks such as social networks and biological netw more...

Supervisor(s): Hong, Seok-Hee (Professor)

2.5D Graph Navigation and Interaction Techniques

This project aim to design, implement and evaluate new methods and algorithms for effective and efficient navigation and interaction with 2.5D graph layout. more...

Supervisor(s): Hong, Seok-Hee (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)

Federating Autonomous Sensor Networks

The work involves the use of a variety of theoretical techniques to study federation in distributed systems. more...

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