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Biological metaphors and resilience

The project will seek inspiration from biological networks to optimize the resilience of public health systems. more...

Supervisor(s): Zomaya, Albert Y. (Professor), Vadas, Mathew (Professor)

Complex Networks and Performance

The project aims to develop a social network based model and operational constructs for exploring individual behaviour in relation to choice and personal health. more...

Supervisor(s): Zomaya, Albert Y. (Professor), Vadas, Mathew (Professor)

Parallel Stochastic Optimization Algorithms

This project is investigating the application of unorthodox optimization techniques such fuzzy logic, genetic algorithms, neural networks, simulated annealing, ant colonies, Tabu se more...

Supervisor(s): Zomaya, Albert Y. (Professor), Vadas, Mathew (Professor)

Self-Assembly and Self-Organization in Complex Distributed Systems

The aim of this project is use a range of algorithmic techniques (graph theoretic, game theoretic, information theoretic) to study and gain insight into the processes of self-assemb more...

Supervisor(s): Zomaya, Albert Y. (Professor), Vadas, Mathew (Professor)

Computational characterisation of trans-regulatory cell systems

This project aims provide enabling computational and statistical methods for characterising trans-regulatory networks in cell systems. The goal is to discover regulatory networks th more...

Supervisor(s): Yang, Pengyi (Dr)

MicroRNAs as Regulators of Cellular Programs

This project involves modeling the role of transcription factors and miRNAs in the control of systems implicated in maintaining and regaining optimal health. more...

Supervisor(s): Zomaya, Albert Y. (Professor), Vadas, Mathew (Professor)

Resilience and distributed systems for a healthy society

This project aims to develop an understanding of the link between the nature of distributed systems and the resilience that underpins healthy future societies. more...

Supervisor(s): Zomaya, Albert Y. (Professor), Vadas, Mathew (Professor)

Machine learning of -omic data for discovery of disease processes.

This project builds on a number of recent findings and aims to bring together omics data related to disease and machine learning for the prediction of transcriptional regulators inv more...

Supervisor(s): Waardenberg, Ashley (Dr), Arthur , Jonathan (Associate Professor)

Exploring the link between international trade and the global obesity epidemic

The project aims to investigate the link between global trade patterns in food commodities and the global obesity epidemic. more...

Supervisor(s): Lenzen, Manfred (Professor)

Information Thermodynamics at the Edge of Chaos

Funding is available for applicants interested in carrying out fundamental and applied research in the field of complex systems. The research will involve theoretical work as well a more...

Supervisor(s): Prokopenko , Mikhail (Professor)