Sustainability in Computing: A Holistic View. Green computing must provide sustainable processing capabilities with high energy efficiency (lower carbon footprint) and increased product longevity (reducing the need for product replacement). While advances in technology have afforded significant reduction in power requirements, they come with inherent challenges due to uncertainties in micro-scale behaviour, high complexity of quantifying/optimising energy cost or system lifetime in extreme scale ....Sustainability in Computing: A Holistic View. Green computing must provide sustainable processing capabilities with high energy efficiency (lower carbon footprint) and increased product longevity (reducing the need for product replacement). While advances in technology have afforded significant reduction in power requirements, they come with inherent challenges due to uncertainties in micro-scale behaviour, high complexity of quantifying/optimising energy cost or system lifetime in extreme scale computing, and the interaction of non-computing components with individual computing systems. This project addresses these challenges via a holistic, multi-scale paradigm for modelling, analysis, and optimisation of energy cost, carbon footprint, and product lifetime in emerging computing systems.Read moreRead less
AUSLearn: AUtomated Sample Learning for Object Recognition. This project aims to enable computers to learn how to effectively use training samples for object recognition. Training sample is the only source used by computers to learn recognising objects. This project creates a new research direction that will enable the first full exploration of the power of samples. The aims will be enabled by leveraging the recent advances in reinforcement learning, fast training algorithms, and by developing n ....AUSLearn: AUtomated Sample Learning for Object Recognition. This project aims to enable computers to learn how to effectively use training samples for object recognition. Training sample is the only source used by computers to learn recognising objects. This project creates a new research direction that will enable the first full exploration of the power of samples. The aims will be enabled by leveraging the recent advances in reinforcement learning, fast training algorithms, and by developing novel deep learning algorithms. The new algorithms will benefit a wide range of applications, e.g. to effectively use car crash training samples for accurately identifying potential road crashes in transport and to effectively use rare medical imaging training data for robustly diagnosing diseases in health.Read moreRead less
Secure and Efficient Fair Exchange Protocols. Information security is becoming increasingly important in the rapidly growing field of e-commerce. This project will enable the development of secure fair exchange protocols and schemes, which will be absolutely crucial to Australia's national security. The project will also strengthen international collaboration through the reciprocal exchange of researchers leading to a more collaborative and productive research environment. Furthermore, the proje ....Secure and Efficient Fair Exchange Protocols. Information security is becoming increasingly important in the rapidly growing field of e-commerce. This project will enable the development of secure fair exchange protocols and schemes, which will be absolutely crucial to Australia's national security. The project will also strengthen international collaboration through the reciprocal exchange of researchers leading to a more collaborative and productive research environment. Furthermore, the project will help to maintain the high research profile of Australian researchers and provide cutting-edge information technology for the Australian telecommunication industry, business and government.Read moreRead less
In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases ....In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases in satellite and diagnostic imaging, respectively, among other applications. For the first time, the combination of how a computer analyses an image and how an expert interprets it will be used as a common language to enable machines to process visual information in a manner that mimics the way human brains do.Read moreRead less
Establishing an accurate chemical volatile profile of decomposition for use in victim recovery in mass disaster and forensic investigations. This project will advance forensic science by identifying a complete chemical profile of human decomposition scent. It will result in the development of a more accurate training scent aid to enhance the response of cadaver detection dogs deployed to scenes of mass disasters involving human remains.
Eliminating Sexual Violence Within the Military . Military sexual violence, or sexual violence that occurs within national militaries, is a complex and gendered international problem This project addresses how we can better understand and reduce military sexual violence through a comparative analysis of the rates, responses, and reporting of the issue in Australia, Canada, the US, and New Zealand.
The project will produce the first-ever comparative data set on international rates over the past ....Eliminating Sexual Violence Within the Military . Military sexual violence, or sexual violence that occurs within national militaries, is a complex and gendered international problem This project addresses how we can better understand and reduce military sexual violence through a comparative analysis of the rates, responses, and reporting of the issue in Australia, Canada, the US, and New Zealand.
The project will produce the first-ever comparative data set on international rates over the past decade, establish and communicate international best practices and policies in reducing military sexual violence, and identify potential gender bias within media coverage and policies that may limit public knowledge and responses.
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Informal Lawmaking in Maritime Security: New Directions in Ocean Governance. This project will investigate the rapidly increasing contribution of informal lawmaking to promoting maritime security and to developing new forms of ocean governance. It is important to assess this form of international cooperation in response to key maritime security concerns, such as the freedom of navigation, boat migration, illegal fishing and transnational crimes, to demonstrate the impact of diverse actors, insti ....Informal Lawmaking in Maritime Security: New Directions in Ocean Governance. This project will investigate the rapidly increasing contribution of informal lawmaking to promoting maritime security and to developing new forms of ocean governance. It is important to assess this form of international cooperation in response to key maritime security concerns, such as the freedom of navigation, boat migration, illegal fishing and transnational crimes, to demonstrate the impact of diverse actors, institutions and networks on governance. This research will facilitate how international lawyers and policymakers can currently influence the operation of international law to improve maritime security responses and will better equip Australia to preserve its leadership role internationally in promoting a rules-based order at sea.Read moreRead less
Countering terrorism and violent extremism through women peace and security. This project aims to advance knowledge about efforts to counter terrorism and violent extremism (CT/CVE) and the United Nations’s (UN) Women, Peace and Security (WPS) agenda, investigating how these two sets of practices are being brought into alignment. The threat to peace and security posed by terrorism and violent extremism is of increasing magnitude in global politics. Applying innovative methods, this project explo ....Countering terrorism and violent extremism through women peace and security. This project aims to advance knowledge about efforts to counter terrorism and violent extremism (CT/CVE) and the United Nations’s (UN) Women, Peace and Security (WPS) agenda, investigating how these two sets of practices are being brought into alignment. The threat to peace and security posed by terrorism and violent extremism is of increasing magnitude in global politics. Applying innovative methods, this project explores the integration of CT/CVE and WPS at the UN and in Australia, the United Kingdom, and Sweden, in collaboration with UN entities and civil society organisations. The insights generated through this project will enable scholars and practitioners to both rethink violence prevention in WPS policy architecture and rethink CT/CVE through WPS principlesRead moreRead less
Learning Software Security Analysers with Imperfect Data. This project aims to systematically investigate next-generation learning-based software security analysis to detect vulnerabilities in real-world large-scale software. The expected learning-based foundation will support the handling of imperfect data in order to provide a precise, scalable and adaptive security analysis of the critical software components, thus capturing important security vulnerabilities missed by existing approaches. Th ....Learning Software Security Analysers with Imperfect Data. This project aims to systematically investigate next-generation learning-based software security analysis to detect vulnerabilities in real-world large-scale software. The expected learning-based foundation will support the handling of imperfect data in order to provide a precise, scalable and adaptive security analysis of the critical software components, thus capturing important security vulnerabilities missed by existing approaches. The success of this project will further enhance the international competitiveness of Australian research in this important field and will benefit any Australian industry and business where software systems are deeply-rooted, such as transportation, smart homes, medical devices, defence and finance.Read moreRead less
Faces in context: A new ecological paradigm for person identification. Accurate face recognition is critical to normal social functioning of individuals and identity management processes that underpin a secure and fair Australia. Current understanding is based on tests that do not capture the rich context surrounding person identification in daily life. This project aims to introduce new methods for observing person identification in daily life and real-world tasks that are critical to border se ....Faces in context: A new ecological paradigm for person identification. Accurate face recognition is critical to normal social functioning of individuals and identity management processes that underpin a secure and fair Australia. Current understanding is based on tests that do not capture the rich context surrounding person identification in daily life. This project aims to introduce new methods for observing person identification in daily life and real-world tasks that are critical to border security, criminal investigations and the justice system. Expected outcomes include an integrated framework for person identification describing the cognitive mechanisms that link faces to surrounding visual context and the viewer’s background knowledge. Benefits in forensic, security and legal settings are expected.Read moreRead less