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strategic power system operation and planning to secure energy sustainability

The HDR (higher degree research) student applicants should have background in one of the following areas: 1) power system optimisation and control; 2) electricity market modelling a more...

Supervisor(s): Qiu, Jeremy (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)

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)

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)

Highly comparative time-series analysis

This research involves developing new methods for time-series analysis based on a new analytic framework for understanding structure in time series. more...

Supervisor(s): Fulcher, Ben (Dr)

Inferring the dimensionality of dynamical systems automatically using machine learning

This research will develop methods to infer the dimensionality of a dynamical system automatically, by adapting dimensionality reduction methods to high-dimensional time-series feat more...

Supervisor(s): Fulcher, Ben (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)

Low-power Intelligent Bio-Signal Processing

This project aims at developing a responsive implant that is making decisions based on smart bio-signal processing. more...

Supervisor(s): Kavehei, Omid (Dr)