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Mapping 2D Images to 3D Shape

The future of personal audio devices relies on the ability to extract 3D ear shape from 2D photographic images using morphable models of ear shape and techniques of multiple view ge 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)

Self-assembled photonics

Self-Assembled photonics is fast becoming one of the leading photonic fabrication technologies since it is potentially compatible with fibre and integrated optics, including silicon more...

Supervisor(s): Canning, John (Honorary Professor)

Mechanical behaviour of semiconductor nanowires

This project aims to apply in-situ deformation transmission electron microscopy and finite element analysis to explore the effect of materials dimensions on the mechanical behaviour more...

Supervisor(s): Liao, Xiaozhou (Professor)

Placement-aware Hardware Description Languages

This project aims to develop hardware description languages for expressing spatially parallel hardware. more...

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

Distributed control of distributed energy resources

This project investigates possible agent-based distributed control hierarchies to enable efficient control and aggregation of large numbers of distributed energy resources. more...

Supervisor(s): Verbic, Gregor (Dr)

Smart House Energy Management System

Utilities and customers will face significant economic challenges and need to be empowered with information and technologies to reduce electricity consumption, and related future co more...

Supervisor(s): Verbic, Gregor (Dr)

Modelling Parkinson's disease using control models

This project aims at developing control models of posture, balance and gait in humans. The models will be used to produce objective measures of movement disorders in patients suffer more...

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