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Scientific Data Management

This project will investigate ways to support the particular needs of different scientific data domains. more...

Supervisor(s): Roehm, Uwe (Associate Professor)

Precoded multiuser MIMO and packet scheduling

Linear precoding for multiuser Multiple-Input Multiple-Output (MIMO) systems has attracted much attention recently due to the capacity enhancement ability at the system level. In th more...

Supervisor(s): Vucetic, Branka (Professor), Lin, Zihuai (Dr)

Statistical models of ear shape and ear acoustics

The future of personal audio devices relies on statistical shape analysis of ears and ear acoustics. We have the world’s largest database of head-ear meshes together with ear more...

Supervisor(s): Jin, Craig (Associate Professor), Leong, Philip (Professor), McEwan, Alistair (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)

Automatic Image Content Annotation

This project is to attach meaningful labels to images by investigating novel machine learning techniques to facilitate visual information management. more...

Supervisor(s): Feng, David (Professor), Wang, Zhiyong (Dr)

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)

Scalable vision machines

NICTA has established a project with a goal of developing technology to map high level descriptions of computer vision algorithms to heterogeneous parallel hardware architectures. T more...

Supervisor(s): Leong, Philip (Professor), Jin, Craig (Associate Professor), McEwan, Alistair (Professor)