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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)

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)

Biological flocculation of suspended particle matter in nutrient-rich acqueous ecosystems

This project is aimed to investigate the flocculation dynamics of biomineral suspended particle matter (SPM) in turbulently-stirred waters. The objective is to assess the effect of more...

Supervisor(s): Maggi, Federico (Dr)

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)

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)

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)

Soil Organic Carbon amount and turnover time in perturbated soil systems using radioactive carbon signature

The project is aimed at modeling the stock and turover time of carbon-based soil organic matter using 12C and 14C observations in non-stationary systems. The modeling foresees the u more...

Supervisor(s): Maggi, Federico (Dr)

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)

Magnetic resonance micro-imaging of human and animal tissue.

Use of magnetic resonance microimaging of human and animal tissue to study disease processes. more...

Supervisor(s): Bourne, Roger (Dr)