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Machine Learning Algorithms to Detect Learning Tactics

Machine learning algorithms can be used to analyse the interactions occurring in learning environments to then adapt and personalise the experience to the learners. more...

Supervisor(s): Pardo, Abelardo (Dr)

Research in Predictive Analytics for Engineering Innovation

One of the most unsolved matters in engineering innovation is forecasting the rate of improvement or rate of progress of new technologies. Forecasting models for rates of improvemen more...

Supervisor(s): Dong, Andy (Professor)

Does the Universe have vortex motions?

The project is to carry out computer simulations for a new instrument concept – hexabundles - that will see “first light” in 2010 on the Very Large Telescope in Ch more...

Supervisor(s): Bland-Hawthorn, Joss (Professor)

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)

The Cosmic Growth of Super-Massive Black Holes

In the heart of every massive galaxy is a super-massive black hole (a million to a billion times the mass of the Sun) that is built up in mass over cosmic time by gas accretion. Usi more...

Supervisor(s): Croom, Scott (Professor)

Application of new DNA sequencing and genotyping technologies in animal health and improvement

Multiple doctoral research opportunities exist to explore the use of new DNA sequencing technologies to advance our understanding of the genomic biology. more...

Supervisor(s): Wade, Claire (Professor)

Improving care standards and costs for spinal trauma patients

The proposed project will undertake Phase Three of this multi-phased project, leveraging from the first two project phases which will have defined both current practice, and practic more...

Supervisor(s): Sharwood, Lisa (Dr)

Machine learning for visual recognition

This research project aims to develop new machine learning methods for various visual recognition tasks such as object/scene recognition, face and human gait recognition, activity r more...

Supervisor(s): Xu, Dong (Professor)

Biometrics (face recognition, human gait recognition or person re-identification)

This research project aims to develop new feature extraction and classification methods for face recognition, human gait recognition or person re-identification. more...

Supervisor(s): Xu, Dong (Professor)

Video analytics (activity and video event recognition)

This research project aims to develop new intelligent video analytics systems for understanding videos. more...

Supervisor(s): Xu, Dong (Professor)