Special Research Initiatives - Grant ID: SR1101002
Funder
Australian Research Council
Funding Amount
$21,000,000.00
Summary
Stem Cells Australia. Despite progress in stem cell research, scientists do not understand how stem cells “decide” what to become. Stem Cells Australia will draw upon strengths within Australia’s premier stem cell research universities and institutes. This collaboration between leading bioengineering, nanotechnology, stem cell and advanced molecular analysis experts, will fast-track efforts to deliver a fundamental understanding of the mechanisms of stem cell regulation and differentiation, and ....Stem Cells Australia. Despite progress in stem cell research, scientists do not understand how stem cells “decide” what to become. Stem Cells Australia will draw upon strengths within Australia’s premier stem cell research universities and institutes. This collaboration between leading bioengineering, nanotechnology, stem cell and advanced molecular analysis experts, will fast-track efforts to deliver a fundamental understanding of the mechanisms of stem cell regulation and differentiation, and the ability to control and influence this process. Stem Cells Australia will deliver new methods for stem cell propagation and manipulation, new translational technologies for therapeutic applications, and will prepare Australia’s future stem cell scientific leaders.Read moreRead less
Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutt ....Developing A Smart Farming Oriented Secure Data Infrastructure. Smart farming is the future of agriculture. However, recently the Federal Bureau of Investigation has issued a
warning that the lack of data privacy and cyber security mechanisms in the field runs a high risk of disaster. This
project aims to establish an innovative secure data infrastructure for smart farming including secure and automated smart farming supply-chain management. The deliverables of this project will include the cutting-edge Blockchain based secure IoT data management and privacy-preserving smart contracts for smart farming supply-chain management. This data infrastructure will be the first of its kind which will lay a solid foundation for smart farming technology.Read moreRead less
Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor ....Privacy-preserving Biometrics based Authentication and Security. Password based authentication systems cannot verify genuine users. Biometric authentication can address this issue. However, the booming IoT applications and cloud computing require that the biometric authentication must be conducted in the privacy-protected setting in order to comply with privacy protection legal regulations. Latest reports show that current biometric authentication systems, under protected setting, exhibit poor authentication performance, which is not commercially applicable. This project aims to investigate innovative solutions to this issue. The intended deliverables will include deep learning based biometric feature extractor, cancellable biometrics and cloud oriented biometrics security protocols. Read moreRead less
Improving Treatment Strategies For Chronic Alphaviral Arthritic Diseases
Funder
National Health and Medical Research Council
Funding Amount
$643,624.00
Summary
Chikungunya virus and Ross River virus cause epidemics of acute and chronic arthritic disease in humans, which is often poorly managed with current treatments. This grant seeks to understand the mechanisms that give rise to disease in order to identify improved treatment strategies. Both the persistence of viral replication in joint tissues and unnecessary inflammatory responses appear to be important factors driving chronic disease.
Industrial Transformation Research Hubs - Grant ID: IH190100022
Funder
Australian Research Council
Funding Amount
$4,787,259.00
Summary
ARC Research Hub for Sustainable Crop Protection. The Hub aims to develop and commercialise an innovative biological alternative to chemical fungicides targeting economically significant diseases of broadacre and horticultural crops. It addresses industry challenges of fungicide resistance, chemical residues in food, off-target effects and environmental harm. It builds on ground-breaking ‘BioClay’ platform to deliver pathogen targeting RNA using clay particles as non-genetically modified crop pr ....ARC Research Hub for Sustainable Crop Protection. The Hub aims to develop and commercialise an innovative biological alternative to chemical fungicides targeting economically significant diseases of broadacre and horticultural crops. It addresses industry challenges of fungicide resistance, chemical residues in food, off-target effects and environmental harm. It builds on ground-breaking ‘BioClay’ platform to deliver pathogen targeting RNA using clay particles as non-genetically modified crop protection. An expert multidisciplinary team uniting science, commercial and social licence pathways ensures industry and consumer uptake advancing $60B Australian Agriculture. The Hub translates to increased productivity, market access and enhanced environmental credentials of Australian food.
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Discovery Early Career Researcher Award - Grant ID: DE170101081
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Adaptive value-flow analysis to improve code reliability and security. This project aims to develop client-driven adaptive value-flow analysis to detect software bugs in system software written in the C/C++ programme language. Static analysis tools for automated code inspections can benefit software developers, but are imprecise, inefficient and not user-friendly for analysing real-world industrial-sized software. The project will investigate static, dynamic and user-guided value-flow analysis t ....Adaptive value-flow analysis to improve code reliability and security. This project aims to develop client-driven adaptive value-flow analysis to detect software bugs in system software written in the C/C++ programme language. Static analysis tools for automated code inspections can benefit software developers, but are imprecise, inefficient and not user-friendly for analysing real-world industrial-sized software. The project will investigate static, dynamic and user-guided value-flow analysis to efficiently and precisely analyse large-scale programs according to clients’ needs, thereby allowing compilers to generate safe, reliable and secure code. This project is expected to advance value-flow analysis for industrial-sized software, improve software reliability and security, and benefit Australian software systems and industries.Read moreRead less
Glycotherapeutics; A New Class Of Treatment For Alphavirus-induced Musculoskeletal Disease
Funder
National Health and Medical Research Council
Funding Amount
$449,868.00
Summary
The hallmark of alphavirus disease is crippling pain and joint arthritis, which often has an extended duration. Currently there is no licenced specific treatment for alphavirus disease and the increasing spread of infection highlights an urgent need for therapeutic intervention strategies. This grant looks at the potential of pentosan polysulfate as a promising drug-repurposing candidate for the treatment of alphavirus-induced arthritis.
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
Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coord ....Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coordinated cyber-attacks that will potentially lead to catastrophic cascaded failures; and develop new solutions in detecting the false data-injection attacks that are conventionally considered as unobservable. This project will provide the benefit of enhancing our national critical infrastructure's security.Read moreRead less