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Computational intelligence, novelty generation and undecidability

The research will involve theoretical work in computational intelligence as well as computer simulations with cellular automata and other dynamical systems. It will aim to answer fu more...

Supervisor(s): Prokopenko , Mikhail (Professor)

Develop point-of-care microfluidic technologies for cardiovascular and cerebrovascular diseases

We are developing a clinically useful, rapid and high throughput profiling microdevices for thrombosis and coagulation. It will be extremely useful for patients with diabetes, obesi more...

Supervisor(s): Ju, Lining (Arnold) (Dr)

Develop single-molecule and super-resolution microscopy imaging technologies in the cardiovascular disease

This project will focus on development, improvement, and application of single-molecule tracking and super-resolution imaging, such as TIRF, HiLo, PALM, STORM, Lattice Light-Sheet M more...

Supervisor(s): Ju, Lining (Arnold) (Dr)

Develop single-cell mechanobiological methods for discovering molecular mechanisms of cardiovascular and neuronal mechanical force sensing

We are developing cutting-edge technologies for the following biomedical application: 1) define the mechanosensing functions of key protein players in the cardiovascular system such more...

Supervisor(s): Ju, Lining (Arnold) (Dr)

Identifying the principles of cell growth and cell mass regulation. Development of biomedical applications based on real-time cell mass detection.

Identifying the principles of cell growth and cell mass regulation. Development of applications based on real-time cell mass detection. Development of instrumentation, sensors and m more...

Supervisor(s): Martinez Martin, David (Dr)

Discovering biomarkers for mental disorders with neuroimaging

The opportunity studies brain structural and functional architecture in healthy and disordered brain with neuroimaging, and uses the novel knowledge gained to improve the diagnosis more...

Supervisor(s): Lv, Jinglei (Dr)

ARTIFICIAL INTELLIGENCE/MACHINE LEARNING ASSISTED NEWBORN CRITICAL CARE (VIRTUAL CRITICAL CARE MODELING)

The most vulnerable critical care patients are newborn babies both those extremely premature and sick full term. High resolution physiological data is displayed for all patients but more...

Supervisor(s): McEwan, Alistair (Professor)

Individual and team learning & performance in a virtual context: a social network & system dynamics approach

Traditionally, most social network studies have been associated with individual or organizational outcomes such as learning, coordination and performance. While such formal social n more...

Supervisor(s): Chung, Kenneth (Dr)

Extending coordination theory for multi-organisational disaster coordination

Despite technological and theoretical advances in disaster management, Australian government organisations still find inter-service coordination of resources, information and knowle more...

Supervisor(s): Chung, Kenneth (Dr)

Towards a social networks model for understanding factors for variances in cost and schedule in project implementation and project completion times

According to several theorists, effective communication is one of the key factors in determining the success of failure of a project. However, communication is a complex and challen more...

Supervisor(s): Chung, Kenneth (Dr)