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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)

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)

Transformersomes: shape-shifting polymer nanostructures

Synthetic polymers can self-assemble into an impressive spectrum of well-defined nanoscale architectures that behave in intriguing ways, from catalysing chemical reactions to intera more...

Supervisor(s): Roberts, Derrick (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)

Bayesian deep learning for incomplete information

This project will feature a synergy of deep learning, modular and multi-task learning with Bayesian methods to address the problem of decision making given incomplete information. more...

Supervisor(s): Cripps, Sally (Professor), Chandra, Rohitash (Dr)

Cognitive Radio for for Green Internet of Things

The internet-of-things (IoT) is becoming an essential technology to support the revolution of various vertical sectors, such as agriculture, industry, energy, healthcare, and transp more...

Supervisor(s): Liang, Ying-Chang (Professor)

Backscatter Communications for Green Internet of Things

The internet-of-things (IoT) is becoming an essential technology to support the revolution of various vertical sectors, such as agriculture, industry, energy, healthcare, and transp more...

Supervisor(s): Liang, Ying-Chang (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)

Integrated framework for assessing disaster resilient of infrastructures by optimising strengthening techniques

This research will develop a resilience based design (RBD) methodology for infrastreucture by optimising retrofit options with post disaster functionality after static, flood and ea more...

Supervisor(s): Hadigheh, Ali (Dr)