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Found 16 matching student topics

Displaying 13–16 of 16 results

Potential for defective interfering particles (DIPS) to interrupt mammal-mosquito transmission of dengue virus

Dengue is a major mosquito-borne disease affecting 390 million people annually across 100 countries. Disease results from infection with dengue viruses, which are single positive-stranded RNA viruses in the family Flaviviridae. Defective interfering particles (DIPs) are virus-like particles with greatly reduced genomes that are byproducts of RNA virus replication and replicate only in the presence of standard virus (Vignuzzi and Lopez 2019, doi: 10.1038/s41564-019-0465-y). DIPs occur naturally during Dengue infection (Li et al. 2011, doi: 10.1371/journal.pone.0019447) and suppress DENV replication …

Study level
Master of Philosophy
Faculty
Faculty of Health
School
School of Biomedical Sciences

Robust feature selection and correspondence for visual control of robots

Stable correspondence-free image-based visual servoing is a challenging and important problem.In classical image-based visual controllers, explicit feature correspondence (matching) to some desired arrangement (configuration) is required before a control input is obtained. Instead, this project will investigate variable feature correspondence and robust feature selection to simultaneously solve visual servoing problem, removing any feature tracking requirement or additional image processing.Also involving Prof Jason Ford.Example of recent past work

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Understanding and manipulating bacterial motility for infection control

The recent COVID 19 pandemic reminds us of how difficult it is to control infectious diseases. Pathogenic microorganisms are known to be extremely 'smart' and are able to quickly develop mechanisms against most of our strategies aimed at eradicating them. Our group is focused on bacterial infections to implants and medical devices. We are in the pursuit to outsmart the bacteria to develop the next generation medical device and implant materials.Bacterial motility/movement and group-coordination on surfaces and in 3-dimensional environment …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Understanding and manipulating bacterial motility for infection control (PhD)

The recent COVID 19 pandemic reminds us of how difficult it is to control infectious diseases. Pathogenic microorganisms are known to be extremely 'smart' and are able to quickly develop mechanisms against most of our strategies aimed at eradicating them. Our group is focused on bacterial infections to implants and medical devices. We are in the pursuit to outsmart the bacteria to develop the next generation medical device and implant materials.Bacterial motility/movement and group-coordination on surfaces and in 3-dimensional environment …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

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