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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)

Arts and Creative Education Research Network

A rich research culture in arts education and creative learningWe support researchers to partner with schools, arts organisations and the community to deepen and extend the evidenc more...

Supervisor(s): Anderson, Michael (Professor), Freebody, Kelly (Dr), Gibson, Robyn (Associate Professor), Brunker, Nikki (Dr), Niland, Amanda (Dr)

Fighting the spread of misinformation

The development of a quantitative measure of the spread of misinformation, for the purposes of developing a strategy to counter science denial. more...

Supervisor(s): Alexander , Tristram (Dr), Fulcher, Ben (Dr), Sharma, Manjula (Professor)

Health burden of chronic diseases

This research project aims to model the health burden of chronic diseases and their comorbid conditions using Markov models, Bayesian statistics and Complex network. more...

Supervisor(s): Uddin, Shahadat (Dr)

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)

Modelling cascades of failures in interdependent networks

The research will involve theoretical work in information theory and network science, as well as computer agent-based simulations. It will study fragility of modern civil infrastruc more...

Supervisor(s): Prokopenko , Mikhail (Professor)

Emergence of universal coding in evolutionary dynamics

The research will involve theoretical work in information theory as well as computer simulations. It will investigate complex systems approaches to one of the most fundamental probl more...

Supervisor(s): Prokopenko , Mikhail (Professor)

Traffic Programming - Algorithms for Cooperative Behaviour among Unconnected AVs

Current AV algorithms aim to safely manoeuvre a vehicle through traffic without involving humans. These algorithms do not consider implications on the efficiency of traffic as a who more...

Supervisor(s): Levinson, David (Professor)

Understanding disease progression and comorbidities using multi-omics and clinical information

This research project aims at exploring clinical and multi-omics data to improve our present understanding of disease progression, transition and comorbidities. To achieve this aim, more...

Supervisor(s): Uddin, Shahadat (Dr)