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FPGA-based low latency machine learning

This project involves the design of novel low-latency trading systems by combining FPGA hardware and machine learning. more...

Supervisor(s): Leong, Philip (Professor), Jin, Craig (Associate Professor), McEwan, Alistair (Professor)

Computational prediction of treatment outcome by machine learning

In this project we will implement and develop novel machine learning techniques to predict a best treatment plan for a patient. more...

Supervisor(s): Khushi, Matloob (Dr)

FPGA control of photonic systems

This project involves the design of novel control systems to improve the efficiency of photonic systems. more...

Supervisor(s): Leong, Philip (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)

Mining genomic data to understand diseases

In this project, we aim to develop, apply ,and enhance bioinformatics and statistical tools to effectively collate, query, and mine public data repositories of transcription factor more...

Supervisor(s): Khushi, Matloob (Dr)

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)

The global analysis of liver protein complexes during the response to intermittent fasting

In animals, short periods of nutrient deprivation, such as intermittent fasting, have been shown to provide benefits with regard to cancer risk/treatment and ageing. Our aims are to more...

Supervisor(s): Larance, Mark (Dr)

Behavioural Route Choice

Route Choice models have long been based on the assumption that travelers choose the shortest travel time path between their origin and destination, despite increasing evidence that more...

Supervisor(s): Levinson, David (Professor)

Surface estimation of freely moving animals to enable quantitative neuroimaging

Accurate estimation of the highly non-rigid surface of freely moving animals is necessary to properly quantify data from brain imaging studies in which the animals are allowed to mo more...

Supervisor(s): Meikle, Steven (Professor), Kyme, Andre (Dr)

Development of a soil contamination spatial inference system

The successful scholarship candidate will work on a project to design a spatial inference system for optimized detection and delineation of soil contaminants. more...

Supervisor(s): Malone, Brendan (Dr)