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Exploring the complexity of complex (mega) projects

Owing to unexpected emerging behaviour, interdependencies among participating stakeholders and wider scope, today's projects are becoming more complex. Understanding the complex nat more...

Supervisor(s): Uddin, Shahadat (Dr)

Using Gene editing to cure genetic neurological disorders

This project is an opportunity for a PhD student who is interested in genetic disorders of the brain and who is prepared to work at the cutting edge of technology. Genetic neurologi more...

Supervisor(s): Gold, Wendy (Dr)

Evolution of viviparity in fish

My lab offers a range of opportunities to build on our research program examining the evolution of reproductive complexity in fish, especially seahorses and sharks. Please see our w more...

Supervisor(s): Whittington, Camilla (Dr), Murphy, Christopher R (Professor)

Non-orthogonal multiple access for massive Internet of Things

Non-orthogonal multiple access (NOMA) has been identified as a key technology in the fifth generation of mobile wireless standards to improve the network capacity. This project aims more...

Supervisor(s): Shirvanimoghaddam, Mahyar (Dr), Vucetic, Branka (Professor)

Scaling hydrological models from continent to catchment

A major question in hydrology revolves around scaling, that is, how we translate model results from for example a continental scale to a finer catchment or local scale. This is part more...

Supervisor(s): Vervoort, Willem (Associate Professor)

Predictive disease modelling using Big data analytics and Complex network methods

This research project aims to mine administrative claim dataset to develop predictive models for individual chronic disease as well as for the comorbidity of multiple chronic diseas more...

Supervisor(s): Uddin, Shahadat (Dr)

Characterizing Transport Networks

In an increasingly urbanized world, people remain connected by a complex nexus of roads, rails, paths, and sidewalks that form urban transportation systems and shape travel demand. more...

Supervisor(s): Levinson, David (Professor)

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)

Discontinuous Discrete Methods for Solving the Multi-phase Hydro-mechanical Behaviour of Partially-saturated Soils

The goal of the project is to develop robust finite-element type solvers of the equations describing the multi-phase hydro-mechanical behaviour of partially saturated soils, hence a more...

Supervisor(s): El-Zein, Abbas (Professor)