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Placement-aware Hardware Description Languages

This project aims to develop hardware description languages for expressing spatially parallel hardware. more...

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

Domain-specific Languages for GPU-based Computing

This project aims to develop improved techniques for programming GPUs and to apply them in application domains such as financial engineering and audio signal processing. more...

Supervisor(s): Leong, Philip (Professor)

FPGA-based Low Latency Trading

This project involves the development of low-latency trading systems using FPGA hardware. more...

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

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)

Modelling Parkinson's disease using control models

This project aims at developing control models of posture, balance and gait in humans. The models will be used to produce objective measures of movement disorders in patients suffer more...

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

Mapping 2D Images to 3D Shape

The future of personal audio devices relies on the ability to extract 3D ear shape from 2D photographic images using morphable models of ear shape and techniques of multiple view ge more...

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

New technique for studying human brain activity

This project investigates stimulus reconstruction from surface EEG neural activity. Improvements to surface EEG recordings may proceed with the development of skull impedance modell more...

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

Floating Point FPGA Architectures

This project involves the development of FPGA architectures which are optimised for floating point applications. more...

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