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Development of a soil contamination spatial inference system

The successful scholarship candidate will work on a project to design a spatial inference system for optimized detection and delineation of soil contaminants. more...

Supervisor(s): Malone, Brendan (Dr)

Inferring the dimensionality of dynamical systems automatically using machine learning

This research will develop methods to infer the dimensionality of a dynamical system automatically, by adapting dimensionality reduction methods to high-dimensional time-series feat more...

Supervisor(s): Fulcher, Ben (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 (Professor), Chandra, Rohitash (Dr), Salles, Tristan (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)

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)

Digital Soil Mapping for the Countries in the Oceania Region

A Digital World Soil Properties Map consortium is formed (www.globalsoilmap.net). The objective of this consortium is to create a digital map of the world’s soil properties. A more...

Supervisor(s): Minasny, Budiman (Professor)

Earthworms and soil physical quality

Earthworms are called soil ecosystem engineers, as they affect the soil physical properties such as soil structure through their feeding, burrowing and casting activities. While the more...

Supervisor(s): Minasny, Budiman (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)

Online digital mapping for better farm management

Digital agriculture draws decision to support on-farm management from a suite of soil and environmental data. Soil and many environmental data in Australia are currently available a more...

Supervisor(s): Minasny, Budiman (Professor)

Detection of Anomalous Variations in Dynamic Networks

The project aims to develop better algorithms for the modelling and study of dynamic networks. more...

Supervisor(s): Zomaya, Albert Y. (Professor)