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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)

Time-series biomarkers of neurological disorders

This research will develop a new machine learning framework for finding and quantifying patterns of brain dynamics that distinguish patients with brain disorders from healthy contro more...

Supervisor(s): Fulcher, Ben (Dr)

Designing new nano-structured materials for solar energy and health

While methods for making nanostructured materials are often slow or energy intensive, self-assembly of nanoscale objects promises to be scalable and low-energy and could thus propel more...

Supervisor(s): Widmer-Cooper, Asaph (Dr)

Experimental analysis of dry powder inhalers for pulmonary drug delivery

This project will apply state of the art experimental diagnostic techniques for the quantitative analysis of dry powder inhalers (DPIs). The project will focus on improving our fund more...

Supervisor(s): Kourmatzis, Agisilaos (Dr)

Development of next-generation fuel delivery devices for thermal energy conversion

This project will apply state of the art experimental diagnostic and computational methods to analyse the potential of using electrostatic charge as a means to delivery fuels in mic more...

Supervisor(s): Kourmatzis, Agisilaos (Dr)

Fluid-structure interaction in the human upper airway

This project will apply state of the art experimental diagnostic methods to analyse fluid structure interaction in model reconstructions of the human upper airway. more...

Supervisor(s): Kourmatzis, Agisilaos (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)

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)

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)

Computational Modeling of Immune Cell Chemotaxis and Swarming

 Using computational simulation to form and evaluate hypotheses concerning the factors that drive immune cell motility, such as neutrophil swarming, during inflammation. more...

Supervisor(s): Read, Mark (Dr)