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Novel Electrodes for rapid electrophysiological recording

Rapid monitoring of emergencies including heart attack and stroke are limited by electrode movements.  This project aims at using a range of methods to improve electrodes inclu more...

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

Multimodal approaches for detecting attention in Human-Computer Interaction

Build computer systems that can recognize human emotions, and help us learn, work and collaborate in more satisfying ways. more...

Supervisor(s): Calvo, Rafael A. (Associate Professor)

Quantum Control with Trapped Ions

This project aims to develop novel techniques for the control of quantum systems using trapped atomic ions. more...

Supervisor(s): Biercuk, Michael J. (Professor)

Quantum Enabled Sensing

Development of new quantum-enabled sensors providing unrivalled performance across a range of applications. more...

Supervisor(s): Biercuk, Michael J. (Professor)

Quantum Simulation and Large-Scale Entanglement

Developing techniques for the study of large-scale quantum simulators based on crystals of trapped atomic ions. more...

Supervisor(s): Biercuk, Michael J. (Professor)

Spherical multi-modal scene analysis

The next generation of webcam is likely to be a multi-modal spherical scene analysis device that improves human-computer interaction. This research project explores how to successfu more...

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

New technique for studying human brain activity

This project investigates stimulus reconstruction from surface EEG neural activity. Improvements to surface EEG recordings may proceed with the development of skull impedance modell more...

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

Next Generation Audio Coding

Next generation audio coding involves the reproduction of spatial audio at increasing spatial resolution. For example, we would like to be able to extract second-order signals from more...

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

Statistical models of ear shape and ear acoustics

The future of personal audio devices relies on statistical shape analysis of ears and ear acoustics. We have the world’s largest database of head-ear meshes together with ear more...

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

Binaural signal processing algorithms for hearing aids

Within the last half-decade that it has become possible to transfer audio signals between bilaterally-fitted hearing aids (Moore, 2007, The Hearing Journal, Vol. 40, No. 11, pp 46-4 more...

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