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Implant electrode optimisation and neurolinguistics

The benefit provided by additional electrodes in medical implants is currently unknown. A typical cochlear implant only contains 12-22 electrodes to stimulate about 30,000 more...

Supervisor(s): McEwan, Alistair (Professor)

Subdivided electrodes to improve defibrillators and physiological measurements

Current defibrillators and physiological monitors (EEG, ECG etc) are limited by variations in contact impedance. This makes measurements difficult during movement of the subjec more...

Supervisor(s): McEwan, Alistair (Professor)

Electrical impedance modelling for implants

Neuromodulation implant stimulation and control is currently limited by the impedance of the surrounding tissue. The aim is to develop a 3D FEM computer model and an agar gel based more...

Supervisor(s): McEwan, Alistair (Professor)

Magnetic resonance electrical impedance tomography

MREIT is a new medical imaging method that allows the electrical conductivity of tissue to be directly measured in the MR scanner. It has high potential for implant design, monitors more...

Supervisor(s): 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)

Information Thermodynamics at the Edge of Chaos

Funding is available for applicants interested in carrying out fundamental and applied research in the field of complex systems. The research will involve theoretical work as well a more...

Supervisor(s): Prokopenko , Mikhail (Professor)

Agent-based modelling, simulation and forecasting of epidemics

The research will involve theoretical work in information theory and network science, as well as computer agent-based simulations. It will aim to reveal fundamental theoretical conn more...

Supervisor(s): Prokopenko , Mikhail (Professor)

Guided Self-Organisation and Swarm Engineering

Funding is available for applicants interested in carrying out fundamental and applied research in the field of complex systems. The research will involve theoretical work as well a more...

Supervisor(s): Prokopenko , Mikhail (Professor)

Modelling cascades of failures in interdependent networks

The research will involve theoretical work in information theory and network science, as well as computer agent-based simulations. It will study fragility of modern civil infrastruc more...

Supervisor(s): Prokopenko , Mikhail (Professor)

Emergence of universal coding in evolutionary dynamics

The research will involve theoretical work in information theory as well as computer simulations. It will investigate complex systems approaches to one of the most fundamental probl more...

Supervisor(s): Prokopenko , Mikhail (Professor)