Early-Stage Medical Diagnostics by Plasmon-Mediated Gas Sensing. This project will investigate the use plasmonic absorption of light in metal nanostructures to activate the selective oxidation/reduction of a gas molecule on a semiconductor nanoparticle. This concept will be used with the aim of developing a sensing technique capable of measuring ultra-low concentrations (ppb) of breath markers for lung cancer detection. It is expected that porous sensing films of semiconductor and metal nanopart ....Early-Stage Medical Diagnostics by Plasmon-Mediated Gas Sensing. This project will investigate the use plasmonic absorption of light in metal nanostructures to activate the selective oxidation/reduction of a gas molecule on a semiconductor nanoparticle. This concept will be used with the aim of developing a sensing technique capable of measuring ultra-low concentrations (ppb) of breath markers for lung cancer detection. It is expected that porous sensing films of semiconductor and metal nanoparticles with well-defined light absorption properties will be fabricated. Superior selectivity will be achieved by matching the wavelength of the absorbed light with the required activation energy for oxidation/reduction. Successful outcomes will enable multi-analyte fingerprint identification by on-chip devices with applications ranging from portable medical diagnostics to national security.Read moreRead less
Violence on the Australian Colonial Frontier, 1788-1960. How many Aborigines and settlers were killed on the Australian frontier? Were they mostly killed in ones and twos or in mass killings? How can we know? These questions are of first national importance in understanding the past. This project takes a fresh approach to frontier violence by employing new analytical methods to investigate the complex array of sources to produce new estimates of casualties 1788 to 1960. The findings will be made ....Violence on the Australian Colonial Frontier, 1788-1960. How many Aborigines and settlers were killed on the Australian frontier? Were they mostly killed in ones and twos or in mass killings? How can we know? These questions are of first national importance in understanding the past. This project takes a fresh approach to frontier violence by employing new analytical methods to investigate the complex array of sources to produce new estimates of casualties 1788 to 1960. The findings will be made available in online maps and transform our understanding of the ongoing trauma of frontier violence that persists in Australian society today. Read moreRead less
The Proscription of Terrorist Organisations in Illiberal States . This project aims to investigate the use of anti-terrorism proscription powers in illiberal democracies after 2002. Although promulgated by the archetypal liberal institution – the United Nations – proscription powers are increasingly recognised as important tools of illiberal regimes in legitimising human rights abuses and suppressing political dissent. Using studies of Cameroon, Nigeria, Pakistan and Sri Lanka, the project expl ....The Proscription of Terrorist Organisations in Illiberal States . This project aims to investigate the use of anti-terrorism proscription powers in illiberal democracies after 2002. Although promulgated by the archetypal liberal institution – the United Nations – proscription powers are increasingly recognised as important tools of illiberal regimes in legitimising human rights abuses and suppressing political dissent. Using studies of Cameroon, Nigeria, Pakistan and Sri Lanka, the project explores the intersections of colonial proscription, UN anti–terrorism norms and illiberal regimes' security. The project will generate new comparative knowledge on the deployment of colonial instruments of control in the ‘war on terror’ and innovate conceptual insights into the global security politics of exclusion. Read moreRead less
Local Remembering and National Forgetting: Memory Politics in Modern China. This project aims to explore the politics of local remembering and national forgetting, and their roles in shaping state-society relationships in modern China. The project expects to generate new insights into key narratives of China’s recent past, and how they are recast by local museums to counter official discourses that elevate certain memories and suppress others. Expected outcomes include enhancing theoretical and ....Local Remembering and National Forgetting: Memory Politics in Modern China. This project aims to explore the politics of local remembering and national forgetting, and their roles in shaping state-society relationships in modern China. The project expects to generate new insights into key narratives of China’s recent past, and how they are recast by local museums to counter official discourses that elevate certain memories and suppress others. Expected outcomes include enhancing theoretical and empirical knowledge of the roles of heritage and memory in China’s contemporary cultural politics. Significant benefits to Australia will include new knowledge towards a more nuanced and multidimensional understanding of China’s priorities in cultural politics, especially in the Asia-Pacific region.
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Synthesis of enriched silicon for long-lived donor quantum states. We have discovered a method to make silicon highly enriched in the desirable spin-zero isotope using readily available ion implantation tools. This “semiconductor vacuum” is essential for building future quantum computer devices using the quantum spin of millions of implanted atoms with revolutionary capabilities. We have demonstrated long-lived implanted donor atom quantum states in prototype material, made possible by the deple ....Synthesis of enriched silicon for long-lived donor quantum states. We have discovered a method to make silicon highly enriched in the desirable spin-zero isotope using readily available ion implantation tools. This “semiconductor vacuum” is essential for building future quantum computer devices using the quantum spin of millions of implanted atoms with revolutionary capabilities. We have demonstrated long-lived implanted donor atom quantum states in prototype material, made possible by the depletion of background spins in natural silicon and now aim to push the enrichment to greater extremes. We will integrate the extreme material into functional devices that use electrically detected electron spin resonance to probe exceptionally durable quantum states and open a near-term pathway to large-scale devices.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
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
Robust learning of dynamic systems. Robots and other autonomous machines use models of the real world to predict the result of their actions and make decisions, but existing methods used for machine-learning are unreliable in many cases and can be easily fooled. This project aims to make machine-learning of dynamic system models reliable, accurate, and secure. The outcomes of this project will be new models and algorithms that ensure safety and increase accuracy of models learned from data. This ....Robust learning of dynamic systems. Robots and other autonomous machines use models of the real world to predict the result of their actions and make decisions, but existing methods used for machine-learning are unreliable in many cases and can be easily fooled. This project aims to make machine-learning of dynamic system models reliable, accurate, and secure. The outcomes of this project will be new models and algorithms that ensure safety and increase accuracy of models learned from data. This project will benefit robotics, control engineering, infrastructure automation, and other fields that demand the capability to model physical systems from limited data. It will also improve cybersecurity by making learning algorithms resilient to deliberate attacks with false data.Read moreRead less
Unlocking Mass Mobile Video Analytics with Advanced Neural Memory Networks. This project will develop neural memory architectures and dense spatial-temporal bundle adjustment to predict movement, behaviour, and perform multi-sensor fusion across large asynchronous video feeds. This capability will allow us to better interrogate and analyse mass video information recorded from the vast number of smartphones, action cameras, and surveillance cameras which exist at public events of interest. Outcom ....Unlocking Mass Mobile Video Analytics with Advanced Neural Memory Networks. This project will develop neural memory architectures and dense spatial-temporal bundle adjustment to predict movement, behaviour, and perform multi-sensor fusion across large asynchronous video feeds. This capability will allow us to better interrogate and analyse mass video information recorded from the vast number of smartphones, action cameras, and surveillance cameras which exist at public events of interest. Outcomes include the ability to ingest multiple video feeds into a dense and dynamic 3D reconstruction for knowledge representation and discovery, and analysis of events and behaviour through new spatio-temporal analytic approaches. This will offer significant benefits for video forensic analysis, policing, and emergency response.Read moreRead less
Nano-engineered multi-functional materials for catalysis and sensing by an integrated chemical and electrochemical approach. This project aims to deliver a facile and cheap method to produce a class of nanostructured materials to be used in applications which will have environmental and social benefits such as: green synthesis of fine chemicals, catalyst development for clean energy fuel cells and sensor technology for the detection of potent biotoxins.