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Enhancing breast cancer detection using a novel research and educational platform: BREAST II

Developing and implementing BREAST II as an interactive research and educational platform to transform breast cancer detection. more...

Supervisor(s): Brennan, Patrick (Professor)

Engaging with individuals who are affected by hereditary cancer (Lynch Syndrome)

Lynch syndrome (LS) is an inherited cancer syndrome which significantly increases a carrier's lifetime risk of several cancers, most notably colorectal cancer (CRC).  Recent Au more...

Supervisor(s): Taylor, Natalie (Associate 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)

Non-orthogonal multiple access for massive Internet of Things

Non-orthogonal multiple access (NOMA) has been identified as a key technology in the fifth generation of mobile wireless standards to improve the network capacity. This project aims more...

Supervisor(s): Shirvanimoghaddam, Mahyar (Dr), Vucetic, Branka (Professor)

A sensor driven approach to assessing health in honey bee colonies

This project aims to optimise honey bee colony health by developing low-cost sensor arrays. The supervisory team for this project also includes Dr Ash Rahman (Data61) and Dr Jo more...

Supervisor(s): Latty, Tanya (Dr)

Upper limb hypermobility in musicians and its associations with pain and performance

The aim of this project is to investigate the extent of upper limb hypermobility in a range of orchestral musicians of different levels of expertise, and to determine the associate more...

Supervisor(s): Nicholson, Leslie (Associate Professor), Chan, Cliffton (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)

Data-intensive solutions for medical technologies

This project aims at developing advanced solutions in software for processing medical data, addressing the issue of less or no labelled data. more...

Supervisor(s): Kavehei, Omid (Dr)

Phase Contrast Imaging of the Breast

A novel method for imaging breast cancer more...

Supervisor(s): Brennan, Patrick (Professor)