Investigating insect neuronal plasticity under genetic and chemical stress. This project aims to study receptors that translate chemical signals into electrical signals in animal brains. These receptors are targeted by insecticides used to control the major pests that afflict agriculture and domestic pets. The project aims to establish the functions of nicotinic acetylcholine receptors in several behaviours and in insecticide responsiveness in the model insect, Drosophila melanogaster, using mut ....Investigating insect neuronal plasticity under genetic and chemical stress. This project aims to study receptors that translate chemical signals into electrical signals in animal brains. These receptors are targeted by insecticides used to control the major pests that afflict agriculture and domestic pets. The project aims to establish the functions of nicotinic acetylcholine receptors in several behaviours and in insecticide responsiveness in the model insect, Drosophila melanogaster, using mutations that knock out the function of receptor subunits. Prior research has pointed to plasticity in the expression and transport of these receptors in response to genetic and environmental change. This project aims to identify the underlying mechanisms that provide the insect with resilience, to provide better options for pest control.Read moreRead less
Pathogenicity genes of the blackleg fungal pathogen of canola. Blackleg disease, caused by the fungus, Leptosphaeria maculans, is the most serious disease of canola (Brassica napus) Australia and worldwide. Control strategies require knowledge of mechanisms of both plant defence (resistance) and fungal pathogenicity; little is known about such processes for blackleg. I will make pathogenicity mutants of L.maculans (unable to attack canola) and characterise the mutated genes. This project will ....Pathogenicity genes of the blackleg fungal pathogen of canola. Blackleg disease, caused by the fungus, Leptosphaeria maculans, is the most serious disease of canola (Brassica napus) Australia and worldwide. Control strategies require knowledge of mechanisms of both plant defence (resistance) and fungal pathogenicity; little is known about such processes for blackleg. I will make pathogenicity mutants of L.maculans (unable to attack canola) and characterise the mutated genes. This project will develop a better understanding of the disease process for blackleg, identify novel disease control targets in this important fungus and lead to disease resistant canola.Read moreRead less
Harnessing innate immunity to mitigate bovine respiratory disease. Bovine Respiratory Disease (BRD) is the most significant health problem faced by the beef industry worldwide, causing economic losses of up to $40 million annually in Australia alone. This Project aims to assess an immunostimulant for its ability to induce resistance to infection with bovine respiratory viruses associated with BRD. The Project is expected to generate fundamental new knowledge in veterinary virology. Expected outc ....Harnessing innate immunity to mitigate bovine respiratory disease. Bovine Respiratory Disease (BRD) is the most significant health problem faced by the beef industry worldwide, causing economic losses of up to $40 million annually in Australia alone. This Project aims to assess an immunostimulant for its ability to induce resistance to infection with bovine respiratory viruses associated with BRD. The Project is expected to generate fundamental new knowledge in veterinary virology. Expected outcomes include scholarly publications. The Project will provide significant benefits, such as advances to fundamental knowledge, training of higher research degree students and proof-of-concept data to promote collaborations with commercial partners to develop novel treatment strategies to limit BRD.Read moreRead less
Characterisation of Genes involved in Secondary Metabolism in the Blackleg Pathogen of Canola. Blackleg caused by the fungus Leptosphaeria maculans is the major disease of canola. In spite of the economic importance of this fungus, little is known about its metabolic pathways, its genes and how they are organised. We have sequenced a large piece of L. maculans DNA comprising eight genes, including a regulatory gene and one that may be may be involved in producing secondary metabolites such as ....Characterisation of Genes involved in Secondary Metabolism in the Blackleg Pathogen of Canola. Blackleg caused by the fungus Leptosphaeria maculans is the major disease of canola. In spite of the economic importance of this fungus, little is known about its metabolic pathways, its genes and how they are organised. We have sequenced a large piece of L. maculans DNA comprising eight genes, including a regulatory gene and one that may be may be involved in producing secondary metabolites such as phytotoxins. We will determine the role of these genes in metabolism and the disease process, thus providing insights into secondary metabolism and gene regulation in this important plant pathogen.Read moreRead less
Microeconomic effects of Australian natural disasters. This project aims to describe and identify the effects of Australian natural disasters – such as the Black Saturday bushfires and the Brisbane floods – on important microeconomic outcomes, including health, education and employment. Natural disasters have profound economic and social effects on individuals and communities. This project intends to bring evidence on how disasters affect individuals and how the effects can be lessened. The proj ....Microeconomic effects of Australian natural disasters. This project aims to describe and identify the effects of Australian natural disasters – such as the Black Saturday bushfires and the Brisbane floods – on important microeconomic outcomes, including health, education and employment. Natural disasters have profound economic and social effects on individuals and communities. This project intends to bring evidence on how disasters affect individuals and how the effects can be lessened. The project expects to inform policy-makers on these critical issues by analysing field, survey and administrative data on individuals before and after past disasters.Read moreRead less
Linking immunomodulation and latency in alphaherpesvirus infection. Herpesviruses cause major diseases in humans and all domestic animal species. Latency forms a significant part of the evolutionary success of herpesviruses, by enabling transmission of the virus throughout the lifetime of the host. Our work has shown that an alphaherpesvirus protein can divert the host’s immune response to become more antibody-mediated and less T cell-mediated. This study explores the consequences of this immune ....Linking immunomodulation and latency in alphaherpesvirus infection. Herpesviruses cause major diseases in humans and all domestic animal species. Latency forms a significant part of the evolutionary success of herpesviruses, by enabling transmission of the virus throughout the lifetime of the host. Our work has shown that an alphaherpesvirus protein can divert the host’s immune response to become more antibody-mediated and less T cell-mediated. This study explores the consequences of this immune diversion, and examines whether this reduced T cell response enables the development of latent infections. Disrupting the virus-host balance by alterations to this conserved viral protein will enable novel approaches to controlling these economically significant viruses.Read moreRead less
Preventing Exfiltration of Sensitive Data by Malicious Insiders or Malwares. Data exfiltration is a serious threat as highlighted in recent leakage of sensitive data that resulted in huge economic losses as well as unprecedented breaches of national security. The aim of this project is to develop a comprehensive and robust solution for detection and prevention of sensitive data exfiltration attempts by malware and unauthorised human users. Expected outcomes include scalable monitoring methods an ....Preventing Exfiltration of Sensitive Data by Malicious Insiders or Malwares. Data exfiltration is a serious threat as highlighted in recent leakage of sensitive data that resulted in huge economic losses as well as unprecedented breaches of national security. The aim of this project is to develop a comprehensive and robust solution for detection and prevention of sensitive data exfiltration attempts by malware and unauthorised human users. Expected outcomes include scalable monitoring methods and efficient algorithms that will be able to prevent real-time exfiltration and identify previously undetected exfiltration of sensitive data. This should provide significant benefits to governments, defence networks as well as businesses and health sectors, as it will protect them from sophisticated cyber attacks.
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Imperfect vaccination drives herpesvirus evolution through recombination. Vaccines are used to help control disease caused by herpesviruses in animals, but some vaccination programs may drive the evolution and spread of herpesviruses with increased fitness (transmissibility, replication and virulence) through recombination. This project aims to study an important avian herpesvirus (infectious laryngotracheitis virus) in the natural host (poultry) to gain fundamental knowledge of how vaccination ....Imperfect vaccination drives herpesvirus evolution through recombination. Vaccines are used to help control disease caused by herpesviruses in animals, but some vaccination programs may drive the evolution and spread of herpesviruses with increased fitness (transmissibility, replication and virulence) through recombination. This project aims to study an important avian herpesvirus (infectious laryngotracheitis virus) in the natural host (poultry) to gain fundamental knowledge of how vaccination programs influence the emergence of diverse recombinant viruses, and identify which types of vaccination programs are best at preventing the emergence of fitter and more virulent viruses. The results are expected to inform vaccination practices to allow more effective control of these viruses in poultry and other animals.Read moreRead less
Efficient and secure data integrity auditing on cloud. Data auditing presents a promising way for verifying user data integrity on cloud, i.e., whether user privacy sensitive data such as identity information on cloud is modified or lost. Current auditing approaches lack sufficient efficiency and security. This results in that they cannot provide timely warning and precaution on potential data loss threats. This project aims to systematically investigate this significant challenge and expects to ....Efficient and secure data integrity auditing on cloud. Data auditing presents a promising way for verifying user data integrity on cloud, i.e., whether user privacy sensitive data such as identity information on cloud is modified or lost. Current auditing approaches lack sufficient efficiency and security. This results in that they cannot provide timely warning and precaution on potential data loss threats. This project aims to systematically investigate this significant challenge and expects to establish innovative research and solutions for enabling efficient and secure data integrity auditing on cloud. The project outcomes will help to safeguard Australian community in fast-growing cyber world, and benefit to fast-growing user privacy sensitive data hosting and applications on cloud.Read moreRead less
Attribution of Machine-generated Code for Accountability. Machine-generated (or neural) code is usually produced by AI tools to speed up software development. However, such codes have recently raised serious security and privacy concerns. This project aims to attribute these codes to their generative models for accountability purposes. In the process, a series of new techniques are developed to differentiate between the codes generated by different models. The outcomes include analysis of neural ....Attribution of Machine-generated Code for Accountability. Machine-generated (or neural) code is usually produced by AI tools to speed up software development. However, such codes have recently raised serious security and privacy concerns. This project aims to attribute these codes to their generative models for accountability purposes. In the process, a series of new techniques are developed to differentiate between the codes generated by different models. The outcomes include analysis of neural code fingerprints, classification of neural codes, and theories to verify the correctness of code attribution. These will provide significant benefits, ranging from copyright protection to privacy preservation. This project is timely since currently the software community is pervasively using neural codes.Read moreRead less