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Bayesian deep learning for incomplete information

This project will feature a synergy of deep learning, modular and multi-task learning with Bayesian methods to address the problem of decision making given incomplete information. more...

Supervisor(s): Cripps, Sally (Professor), Chandra, Rohitash (Dr)

Multivariate volatility models for high frequency data

Volatility forecast is important in risk management. However since volatility is unobserved, most volatility models like the GARCH models are based on daily return and model volatil more...

Supervisor(s): Chan, Jennifer (Associate Professor)

Soil-landscape dynamic modelling

Soil is the largest terrestrial store of carbon. Understanding causes and controls of spatial and temporal variation of this carbon pool is crucial for managing climate change, food more...

Supervisor(s): Minasny, Budiman (Professor)

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 (Professor), Chandra, Rohitash (Dr), Salles, Tristan (Dr)

Informative dropout model for Poisson count data

In biomedical research with longitudinal designs, missing values due to intermittent non-response or premature withdrawal are usually non-ignorable in the sense that unobs more...

Supervisor(s): Chan, Jennifer (Associate Professor)

Do hydrological models cope with complex Australian catchments?

Climate change and rapid land use change has forced a rethink on hydrological models. Non-stationarity (where trends in time-series are non-linear or non-uniform) is now the norm, a more...

Supervisor(s): Vervoort, Willem (Associate Professor), Bishop, Thomas (Associate Professor), Van Ogtrop, Floris (Dr)

The Perceptual Expertise of Skilled Game Players: What can they see that I can’t

With the ability to store millions of records of decisions people have made and the context in which they were made, we are left the interesting problem that we still do not know wh more...

Supervisor(s): Harre, Michael (Dr)

Magnetic Explosions on the Sun

Solar flares are magnetic explosions on the Sun, which directly affect the Earth through their influence on our local space weather. The basic process underlying flare energy releas more...

Supervisor(s): Wheatland, Michael (Professor)

Electromagnetic Simulation of Complex Dynamic Environments to Assist Cognitive Active Perception

  Active perception involves moving a sensor to maximise information gain about the local environment. Cognitive radar goes even further, to change the sensor parameters themse more...

Supervisor(s): Johnson, David (Dr)

Modelling Greenhouses gas exchanges in the soil and atmosphere

Methane and nitrous oxide are two of the most important greenhouse gases (GHG) , which are produced in the soil from microbial processes. Mitigation strategies to these GHG emission more...

Supervisor(s): Minasny, Budiman (Professor)