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Multimodal emotion recognition

This project aims to develop novel techniques for automatically recognizing emotions through combining physiology, behaviour, facial expressions and language. more...

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

Nurse Education and Clinical Communication

These projects will include studies concerning: (I) Use of simulation as a teaching and learning model, clinical teaching, and application of information and communication technolog more...

Supervisor(s): Hardy, Jennifer (Dr)

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)

Multimodality Medical Image Segmentation

Automated delineation of tissues, organs and hot-spot volumes from medical images by adaptively using the complementary information from multiple imaging modalities more...

Supervisor(s): Feng, David (Professor), Xia, Yong (Dr)

Medical Image Mining for Computer-Aided Diagnosis

Identification of valid, novel, potentially useful, and ultimately understandable pathologic patterns in large-scale medical image archives for computer-aided diagnosis more...

Supervisor(s): Feng, David (Professor), Xia, Yong (Dr)

Functional Brain Image Understanding for Differential Diagnosis of Dementia

Intelligent analysis of functional brain images and extraction of pathologic patterns from large-group study for early diagnosis of dementia types more...

Supervisor(s): Feng, David (Professor), Xia, Yong (Dr)

Diseases of the Aorta

The causes of sporadic thoracic aortic aneurysms are not understood but the consequences of this disease can be catastrophic. We have developed an animal model of disease and this t more...

Supervisor(s): Gamble, Jennifer (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)

Scalable vision machines

NICTA has established a project with a goal of developing technology to map high level descriptions of computer vision algorithms to heterogeneous parallel hardware architectures. T more...

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

Domain-specific Languages for GPU-based Computing

This project aims to develop improved techniques for programming GPUs and to apply them in application domains such as financial engineering and audio signal processing. more...

Supervisor(s): Leong, Philip (Professor)