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No Hot-Spot Data Structures

The goal of this project is to design and implement novel data structure algorithms especially suited for many-core architectures. more...

Supervisor(s): Gramoli, Vincent (Dr)

What Theory for Concurrency?

The goal of this project is to measure theoretically the concurrency one can expect out of a concurrent program for multicore.  more...

Supervisor(s): Gramoli, Vincent (Dr)

Modelling and Stability of Power Networks with Renewable Generation

Most investigations on the impact of renewables on grid stability consider one stability type and one basic network.  Our aim is to develop principles that can be used to help more...

Supervisor(s): Hill, David John (Professor), Verbic, Gregor (Dr)

Using a patient’s respiratory and cardiac signal to adjust image acquisition.

Imaging a lung tumour is difficult because the tumour and organs are blurred as we breathe and our heart beats. The aim of this project is to eliminate blurring caused by respirato more...

Supervisor(s): O'Brien, Ricky (Associate Professor)

Imaging a patient while they move

Diagnosing knee, shoulder and back complaints can be difficult because we currently cannot image a patient as they walk or pick up an object. The aim of this project is to develop more...

Supervisor(s): O'Brien, Ricky (Associate Professor)

Agent-Based model of stock markets

It is a matter of fact that a majority of people are affected directly or indirectly by stock market activity. They are affected directly, by trading assets in stock markets, and in more...

Supervisor(s): Alonso-Marroquin, Fernando (Dr)

Reconfiguring Data Centers

The goal of this project is to design and implement reconfigurable distributed systems to cope with their inherent dynamism and elasticity requirements at large-scale. more...

Supervisor(s): Gramoli, Vincent (Dr)

How can we perform experiments in real landscapes?

This project addresses the fundamental environmental issue of land degradation in Australia.  Current management practices are unsustainable as evidenced by the decline in our more...

Supervisor(s): Bishop, Thomas (Associate Professor)

Characterising and compensating for partial volume effects in motion-compensated brain imaging of small animals

Partial volume effects resulting from the limited spatial resolution of positron emission tomography (PET) remain a key limitation to accurate quantification of PET image data. This more...

Supervisor(s): Meikle, Steven (Professor), Kyme, Andre (Dr)

Machine learning and optimisation for modelling coral reef evolution

Globally, coral reef systems are under threat from major changes in environmental parameters (e.g. sea level, sea surface temperature, pH and water quality). Forward Forward Stratig more...

Supervisor(s): Webster, Jody (Associate Professor), Chandra, Rohitash (Dr), Salles, Tristan (Dr)