Flea Control by Immunological Intervention. Fleas are bloodsucking parasites that are the major cause of skin disease in pets. Currently, all available flea products rely upon chemical control and many have active components that have real or perceived health problems. Given that insect growth regulators do not kill adult fleas and pet owners are interested in using alternatives to insecticides, there is a clear need for a complementary form of flea control. We describe the novel use of Prote ....Flea Control by Immunological Intervention. Fleas are bloodsucking parasites that are the major cause of skin disease in pets. Currently, all available flea products rely upon chemical control and many have active components that have real or perceived health problems. Given that insect growth regulators do not kill adult fleas and pet owners are interested in using alternatives to insecticides, there is a clear need for a complementary form of flea control. We describe the novel use of Proteomic technology to identify flea proteins that are "switched on" during feeding and are specifically located in the gut. This project will enable the development of a vaccine that is systemic, kills adult fleas, is long-lasting and residue-free.Read moreRead less
Determining the impact of protozoan pathogens and strongyle worms on prime lamb production. This research will benefit wool and prime lamb industries nation-wide as sheep scouring is prevalent in high-rainfall areas across Australia. Data generated from the project will be used to educate farmers and reduce the financial burden of sheep scouring. This project will also enhance Australia's reputation in the disease management sector and will result in reduced risk to public health due to a better ....Determining the impact of protozoan pathogens and strongyle worms on prime lamb production. This research will benefit wool and prime lamb industries nation-wide as sheep scouring is prevalent in high-rainfall areas across Australia. Data generated from the project will be used to educate farmers and reduce the financial burden of sheep scouring. This project will also enhance Australia's reputation in the disease management sector and will result in reduced risk to public health due to a better understanding and management of zoonotic parasite and microbacterial contamination of carcasses and water catchments.Read moreRead less
Robust speech recognition in realistic hostile environments. Australia leads the world in the adoption of speech recognition technology but sadly lags in the development of the fundamental advances in the area. This research will help propel Australia to the forefront of new innovations in speech recognition technology and contributions to fundamental science. Our project will provide an excellent training ground for graduate students and researchers, with the real possibility of significant com ....Robust speech recognition in realistic hostile environments. Australia leads the world in the adoption of speech recognition technology but sadly lags in the development of the fundamental advances in the area. This research will help propel Australia to the forefront of new innovations in speech recognition technology and contributions to fundamental science. Our project will provide an excellent training ground for graduate students and researchers, with the real possibility of significant commercial benefit to the nation. The deployment of our system in the community will greatly enhance the defence and police forces ability for surveillance and security, and will provide new assistive aids to improve the quality of life and safety for the elderly and disabled.Read moreRead less
Understanding the molecular basis of virulence in Brachyspira hyodysenteriae to improve vaccine design. Swine dysentery is a colonic infection of pigs caused by Brachyspira hyodysenteriae. The disease is widespread in Australia and causes great economic loss. An effective vaccine is not available. This study aims to identify factors associated with the bacterium's virulence, using comparative genomic and proteomic information. Virulence factors then will be targeted and tested as recombinant vac ....Understanding the molecular basis of virulence in Brachyspira hyodysenteriae to improve vaccine design. Swine dysentery is a colonic infection of pigs caused by Brachyspira hyodysenteriae. The disease is widespread in Australia and causes great economic loss. An effective vaccine is not available. This study aims to identify factors associated with the bacterium's virulence, using comparative genomic and proteomic information. Virulence factors then will be targeted and tested as recombinant vaccine candidates. This project will result in the development of an improved vaccine to control swine dysentery in rural Australia. Control of swine dysentery through vaccination will reduce antibiotic use on infected farms and improve the productivity and competitiveness of the Australian pig industry.Read moreRead less
Genomic sequencing and comparative genomic analysis for animal bacterial vaccine discovery. The aim of this project is to develop vaccines for the control of swine dysentery (pigs) and intestinal spirochaetosis (pigs and chickens). These infections cause important production-limiting diseases for which no effective vaccines are available. We will use whole genomic sequencing of the two causal species of intestinal spirochaetal bacteria, with a bioinformatics-based analysis of the data to identif ....Genomic sequencing and comparative genomic analysis for animal bacterial vaccine discovery. The aim of this project is to develop vaccines for the control of swine dysentery (pigs) and intestinal spirochaetosis (pigs and chickens). These infections cause important production-limiting diseases for which no effective vaccines are available. We will use whole genomic sequencing of the two causal species of intestinal spirochaetal bacteria, with a bioinformatics-based analysis of the data to identify potential cell surface structures that will be tested as the basis of new recombinant vaccines. Outcomes will include the development of new commercial products, increased institutional capacity in veterinary vaccine discovery, and ultimately improved animal health and production in rural Australia.Read moreRead less
Safeguarding Honeybees: Increasing parasite treatment effectiveness using nanotechnology. There is increasing concern about the exposure of honeybees to pesticides used to control both agricultural pests and diseases. Emerging reports indicate that these chemicals substantially harm bees and therefore contribute to the dramatic declines reported. A widespread bee pathogen, Nosema, will be used to directly quantify the effectiveness of commercially used pesticides on both parasite and honeybee vi ....Safeguarding Honeybees: Increasing parasite treatment effectiveness using nanotechnology. There is increasing concern about the exposure of honeybees to pesticides used to control both agricultural pests and diseases. Emerging reports indicate that these chemicals substantially harm bees and therefore contribute to the dramatic declines reported. A widespread bee pathogen, Nosema, will be used to directly quantify the effectiveness of commercially used pesticides on both parasite and honeybee viability. Furthermore, state-of-the-art nanotechnology will be used to develop benign treatments with enhanced effectiveness and minimal dosage/exposure to the bees. Outcomes of this project can have major impact on future parasite management in commercial honeybees.Read moreRead less
Economically efficient green logistics through cyber physical systems. Economically efficient green logistics through cyber physical systems. This project aims to realize green logistics by researching how to run diesel-powered heavy-duty milk trucks economically and efficiently on liquefied natural gas (LNG) and demonstrating to logistics companies that LNG conversion will reduce operating costs and emissions. Transportation systems account for 18% of Australia's carbon emissions, and diesel-po ....Economically efficient green logistics through cyber physical systems. Economically efficient green logistics through cyber physical systems. This project aims to realize green logistics by researching how to run diesel-powered heavy-duty milk trucks economically and efficiently on liquefied natural gas (LNG) and demonstrating to logistics companies that LNG conversion will reduce operating costs and emissions. Transportation systems account for 18% of Australia's carbon emissions, and diesel-powered logistics vehicles are a major contributor. However, converting these trucks to LNG requires strong evidence to convince logistics companies of the benefits of shifting to green logistics. An increase in logistics productivity is expected to increase Australia’s gross domestic product by $2 billion, while this research should also provide vital data on sustainability issues and LNG conversions.Read moreRead less
Surviving the data deluge: Scalable feature extraction, discrimination and analysis for computer vision tasks using compressed sensed data. Strategically, our pioneering solutions besides being technically and socially significant, open fresh options for sensor-agnostic data analysis. The technical significance lies through the creation of new technologies for the critical national and global security markets, currently overwhelmed by data. The social significance arises from our solutions being ....Surviving the data deluge: Scalable feature extraction, discrimination and analysis for computer vision tasks using compressed sensed data. Strategically, our pioneering solutions besides being technically and socially significant, open fresh options for sensor-agnostic data analysis. The technical significance lies through the creation of new technologies for the critical national and global security markets, currently overwhelmed by data. The social significance arises from our solutions being privacy preserving, providing new avenues for the production of novel, socially acceptable products for aged care monitoring. Our methods spearhead future advancement in diverse disciplines due to the wide applicability of the methods to other sensor networks (Square Kilometre Array) and data types, providing new frameworks for addressing crucial problems of data management. Read moreRead less
Smart technologies for people with vision impairment and blindness. Our technological solutions for early detection of disease provide the best opportunity for effective treatment, and provision of strategies capable of assisting individuals. It aims to empower primary care providers and will lead to more effective screening methods and improved efficiencies in redirecting resources towards those whose eye disease is treatable. It will further improve and enable access to specialist eye care fo ....Smart technologies for people with vision impairment and blindness. Our technological solutions for early detection of disease provide the best opportunity for effective treatment, and provision of strategies capable of assisting individuals. It aims to empower primary care providers and will lead to more effective screening methods and improved efficiencies in redirecting resources towards those whose eye disease is treatable. It will further improve and enable access to specialist eye care for those living in rural, regional and remote locations. The assistive technologies for the blind will greatly enhance the quality of life of the visually impaired, enhancing their quality of life and removing several risk factors. The net annual savings to the Government from these projects would be considerable.Read moreRead less
Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an ....Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an open-source tool that can capture precision correlations between deep code features and diverse vulnerabilities to pinpoint emerging vulnerabilities without the need for bug specifications. Significant benefits include greatly improved quality, reliability and security for modern software systems.Read moreRead less