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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)

Dynamic Earth models, landscape dynamics, and basin evolution in the Phanerozoic

This project is designed to understand the interconnections between mantle dynamics, plate tectonics, paleogeography, basin evolution, and continental shelves. The project will inve more...

Supervisor(s): Muller, Dietmar (Professor), Salles, Tristan (Dr), Chandra, Rohitash (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)

Spatio-temporal geodata mining

Observations suggest that fundamental evolutionary cycles on Earth, including major sea-level fluctuations and pulses of deep Earth resource formation are linked to tectonic and dee more...

Supervisor(s): Muller, Dietmar (Professor), Chandra, Rohitash (Dr)

Controls on the Holocene evolution of the Great Barrier Reef: linking 4D numerical modeling and observational data

This project will investigate the biological and geological processes that control the evolution of coral reef systems (e.g. reef communities, stratigraphic ages and growth rates, r more...

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