Linkage Infrastructure, Equipment And Facilities - Grant ID: LE140100042
Funder
Australian Research Council
Funding Amount
$190,000.00
Summary
UV to mid-infrared fluorescence spectrometer for use in mineral analysis, radiation dosimetry, and laser materials characterisation. Ultraviolet to mid-infrared fluorescence spectrometer for use in mineral analysis, radiation dosimetry and laser materials characterisation: This project will provide equipment with a vast capability to collect ultraviolet to mid-infrared fluorescence with high temporal measurement accuracy, and highly flexible excitation (spectral and temporal). This will enhance ....UV to mid-infrared fluorescence spectrometer for use in mineral analysis, radiation dosimetry, and laser materials characterisation. Ultraviolet to mid-infrared fluorescence spectrometer for use in mineral analysis, radiation dosimetry and laser materials characterisation: This project will provide equipment with a vast capability to collect ultraviolet to mid-infrared fluorescence with high temporal measurement accuracy, and highly flexible excitation (spectral and temporal). This will enhance active research into new glasses and laser crystals, probing of defect states resulting from ionising radiation absorption in environmental and medical dosimetry materials, investigation of novel fluorescence techniques for mineral identification, through to improving chemical detection capability (for example, detection of explosives). The instrument comprises modules that enable excitation in the ultraviolet, visible, and infrared from a tunable laser system, and high-efficiency collection and processing of fluorescence spectra.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100675
Funder
Australian Research Council
Funding Amount
$308,386.00
Summary
Structural Vulnerability Analysis, Reinforcement and Defence for Smart Grid. This project intends to identify and analyse the structural vulnerabilities of the emerging ‘smart grid’ for electricity supply. The smart grid integrates a cyber network into the existing power network. Although the smart grid enables the integration of more renewable energy sources and contributes to an environmentally sustainable society, the network structure can introduce new vulnerabilities that may cause large ca ....Structural Vulnerability Analysis, Reinforcement and Defence for Smart Grid. This project intends to identify and analyse the structural vulnerabilities of the emerging ‘smart grid’ for electricity supply. The smart grid integrates a cyber network into the existing power network. Although the smart grid enables the integration of more renewable energy sources and contributes to an environmentally sustainable society, the network structure can introduce new vulnerabilities that may cause large cascading failures and lead to catastrophic blackouts. The project aims to establish a quantitative framework to analyse smart grid structural vulnerability. Furthermore, innovative reinforcement and defence strategies will be proposed that could reduce the risk of large blackout and build a more robust smart grid.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
Liquid crystal-based optical fibre hydrophone system for underwater surveillance and ocean monitoring. The aim of this project is to design, implement and optimise a new class of optical sensing system which targets underwater surveillance and ocean monitoring. This project is expected to lead to improved national security, broaden Australia's photonics knowledge base, and contribute to greater international scientific collaboration.
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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100023
Funder
Australian Research Council
Funding Amount
$500,000.00
Summary
Integrated command and control facility for large-scale critical infrastructure management. This is a test bed facility for achieving sustainable operation of Australia's critical infrastructure, particularly at airports. The facility will enable an integrated and coordinated strategy to increase operational resilience while not losing sight of the complex nature and dynamic requirements of critical infrastructure management.
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
Symbolic synthesis of knowledge-based program implementations. Systems with concurrent streams of activity are ubiquitous in computer hardware and software designs, but are conceptually complex, and fraught with faults and inefficiency. The project aims to address these difficulties by automating aspects of system design, to relieve the designer of the need to reason about complex patterns of information flow.