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Structural Steel Hollow Section Connections

This project has been performed in conjunction with Smorgon Steel Tube Mills over a number of years and carried out predominately by undergraduate thesis students. The aim has been more...

Supervisor(s): Wilkinson, Tim (Associate Professor)

Simple shear tests of clay

The project would involve carrying out a series of tests on clay specimens at a range of stress levels and for a number of stress histories. more...

Supervisor(s): Airey, David (Professor)

Combined drying and crystallization in spray drying

This project will investigate a new combined approach to producing new engineered particles with controlled particle properties with reduced stickiness to improve the yield from pro more...

Supervisor(s): Langrish, Timothy (Professor)

Competitive migration of proteins within droplets and particles during spray drying

The objectives of this project are to assess what types of proteins are most effective as encapsulating materials for spray-dried sticky materials such as sugars and how and why the more...

Supervisor(s): Langrish, Timothy (Professor)

Super Sorbents from Spray Drying

This project will combine proteins, lactose and sodium bicarbonate to create expanded particles (sodium bicarbonate) with a high surface area per unit mass that are very amorphous a more...

Supervisor(s): Langrish, Timothy (Professor)

Intelligent Multimodality Molecular Image Segmentation

Automated segmentation of major structures, tissues, and volume of interest (VOI) from PET/CT images new knowledge from information technologies. more...

Supervisor(s): Feng, David (Professor)

Data Processing in Sensor Networks

This project involves developing novel adaptive methods for true in-network data processing within a Wireless Sensor Network (WSN). more...

Supervisor(s): Roehm, Uwe (Associate Professor)

Behaviour of LiteSteel Beams (Hollow Flange Channels)

This project involves the researching the structural behaviour of LiteSteel Beams. more...

Supervisor(s): Wilkinson, Tim (Associate Professor)

Scientific Data Management

This project will investigate ways to support the particular needs of different scientific data domains. more...

Supervisor(s): Roehm, Uwe (Associate 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)