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Intelligent Access to Digital TV Content

This project is to bring intelligent and convenient tools to enable the maximum content utilization of Digital TV. more...

Supervisor(s): Feng, David (Professor), Wang, Zhiyong (Dr)

Art History and Film Studies

The department of Art History and Film Studies was founded in 1967 as part of the Power Institute of Fine Arts, and initially concerned itself with the history of painting, sculptur more...

Supervisor(s): Marshall, Louise (Dr), Callaway, Anita (Dr), Moore, Catriona (Dr), Roberts, Mary (Professor), Smith, Richard (Dr), Benjamin, Roger (Professor), Ledbury, Mark (Professor), Isaacs, Bruce (Dr), West Brett, Donna (Dr), Whiteman, Stephen (Dr), Elias, Ann (Associate Professor), Potter, Susan (Dr), Broadfoot, Keith (Dr)

Microwave photonic solutions for modern radar/antenna systems

This project aims to realize arbitrary, high-resolution photonic signal processors, which exhibit low-noise operation. Specially, we investigate new concepts for generating a large more...

Supervisor(s): Yi, Xiaoke (Associate Professor)

Media and Communications

The Department of Media and Communications is a fast growing department in the Faculty of Arts. With highly qualified staff drawing on extensive professional experience it actively more...

Supervisor(s): Brevini, Benedetta (Dr), Martin, Fiona (Dr), Le Masurier , Megan (Dr), Werder, Olaf (Dr), Mann, Alana (Dr), O'Donnell, Penny (Dr), Avieson, Bunty (Dr), Chesher, Chris (Dr), Hutchinson, Jonathon (Dr), Hobbs, Mitchell (Dr), Nip, Joyce (Dr), Dwyer, Tim (Associate Professor), Carter, Marcus (Dr), Humphry, Justine (Dr)

Electrical Impedance Tomography for stroke, biophysical monitoring and medical device design

This project will involve simulation and test of an impedance spectroscopy device using electrical impedance models and saline based phantoms for its applicability in monitoring str more...

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

Discovery of new image-derived features for computer-aided diagnosis

Discovery of new image-derived features and achievement of better diagnosis for specific disorders. more...

Supervisor(s): Feng, David (Professor), Wen, Lingfeng (Dr)

Automatic Image Content Annotation

This project is to attach meaningful labels to images by investigating novel machine learning techniques to facilitate visual information management. more...

Supervisor(s): Feng, David (Professor), Wang, Zhiyong (Dr)

Novel Image Retouching Techniques

This project will produce novel techniques to empower user’s creativity and flexibility in manipulating images. more...

Supervisor(s): Feng, David (Professor), Wang, Zhiyong (Dr)

Medical diagnostics for neonates in the developing world

There is an urgent clinical need to develop diagnostic devices to assess the health of newborns. For example the World Health Organisation estimates that malnutrition contributes to more...

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

Multimedia Streaming with Peer-to-Peer Techniques

This project is to address the challenging issues in multimedia delivery with peer-to-peer computing techniques which have been widely used for file sharing applications such as Bit more...

Supervisor(s): Feng, David (Professor), Wang, Zhiyong (Dr)