Global production networks and worker representation in Myanmar. This project aims to assess the impact of global production networks on worker representation in Myanmar’s garment sector, which is leading the country’s integration into global supply chains at this crucial time in its economic and political development. This project’s findings will be used to theorise how complex interactions between different economic and social actors across geographic scale affect the rights and interests of g ....Global production networks and worker representation in Myanmar. This project aims to assess the impact of global production networks on worker representation in Myanmar’s garment sector, which is leading the country’s integration into global supply chains at this crucial time in its economic and political development. This project’s findings will be used to theorise how complex interactions between different economic and social actors across geographic scale affect the rights and interests of garment workers, and the quality of their employment. This will provide significant benefits that will make an important contribution to scholarly understandings of the impact of labour agency on global production networks and provide a strong evidence base for decision-making by local and international stakeholders.Read moreRead less
ARC Centre of Excellence for Children and Families over the Life Course. The 2020 ARC Centre of Excellence for Children and Families over the Life Course (LCC2020) aims to deliver transformative research and translation to break the cycle of deep and persistent disadvantage for Australians. Critically, LCC2020 will tackle disadvantage in specific context to understand how people negotiate it daily in real places, and how best to design policies and programs that support improved life pathways. B ....ARC Centre of Excellence for Children and Families over the Life Course. The 2020 ARC Centre of Excellence for Children and Families over the Life Course (LCC2020) aims to deliver transformative research and translation to break the cycle of deep and persistent disadvantage for Australians. Critically, LCC2020 will tackle disadvantage in specific context to understand how people negotiate it daily in real places, and how best to design policies and programs that support improved life pathways. By understanding life course contexts much more finely and using new methods and better data to personalise responses to disadvantage, LCC2020 will deliver the evidence, infrastructure, capacity and partnerships to reduce disadvantage and better equip Australian children and families for emerging challenges. Read moreRead less
Stewarding thin markets: improving public sector market effectiveness. This project aims to develop methodologies to identify thin markets in the public service sector. Thin markets, where there are a low number of buyers or low number of sellers, are a major risk for governments utilising a personalised approach to service delivery. This project will develop new methodologies for identifying thin markets and determine ways emerging markets can be stewarded to better achieve their aims.
Listen and learn - statistical learning and the adapting auditory brain. This project aims to explore the link between rapid neural adaptation - a form of learning referred to as statistical learning - and human listening performance in noisy environments. The project aims to generate a new understanding of mechanisms that contribute to listeners' abilities to understand speech in noise, and to complex communication disorders such as dyslexia. Expected outcomes will include increased capacity to ....Listen and learn - statistical learning and the adapting auditory brain. This project aims to explore the link between rapid neural adaptation - a form of learning referred to as statistical learning - and human listening performance in noisy environments. The project aims to generate a new understanding of mechanisms that contribute to listeners' abilities to understand speech in noise, and to complex communication disorders such as dyslexia. Expected outcomes will include increased capacity to investigate a broad range of cognitive and communication functions. Benefits will include potential technologies and algorithms to assist listening (in devices such as hearing aids), language development and reading.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
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
Industrial Transformation Research Hubs - Grant ID: IH200100009
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Transforming Energy Infrastructure Through Digital Engineering. This Research Hub will harness the strengths of data-based and physics-based sciences to transform the operation of Australia’s offshore energy infrastructure. This essential research will create, use and embed observations of past and ongoing activity to engineer tools and approaches necessary to enhance our understanding of the offshore environment, optimise critical operations for existing facilities (includi ....ARC Research Hub for Transforming Energy Infrastructure Through Digital Engineering. This Research Hub will harness the strengths of data-based and physics-based sciences to transform the operation of Australia’s offshore energy infrastructure. This essential research will create, use and embed observations of past and ongoing activity to engineer tools and approaches necessary to enhance our understanding of the offshore environment, optimise critical operations for existing facilities (including installation and maintenance), and efficiently design future infrastructure. The integrated multidisciplinary approach will not only help Operators achieve high productivity through low downtime and optimised maintenance, but also demonstrate, in research and industry, the transformative potential of digital engineering.Read moreRead less