Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100121
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Three-dimensional super-resolution nanophotonic fabrication facility. This stimulated emission depletion microscopy nanophotonic fabrication facility will be the first nanophotonic fabrication facility that is able to achieve optical resolution far beyond the diffraction limit, which will facilitate breakthroughs in cutting-edge nanotechnology research areas.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100003
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
3D Nanofabrication and Nanocharacterisation facility. This project aims to establish a revolutionary nanoscale fabrication and characterisation facility in Australia. The facility is an angle-based nanoscale etching system with integrated chemical analysis capabilities and will be the first instrument of its kind in Australia. The facility will enable unprecedented fabrication and characterisation of 3D nanostructures and new device geometries from semiconductors, oxides and metals that underpin ....3D Nanofabrication and Nanocharacterisation facility. This project aims to establish a revolutionary nanoscale fabrication and characterisation facility in Australia. The facility is an angle-based nanoscale etching system with integrated chemical analysis capabilities and will be the first instrument of its kind in Australia. The facility will enable unprecedented fabrication and characterisation of 3D nanostructures and new device geometries from semiconductors, oxides and metals that underpin modern nanoelectronics for innovative energy, nano-optical and quantum device applications. This unique equipment will facilitate breakthrough discoveries in nanomaterials, and foster collaborations amongst Australian researchers to accelerate industry in advanced nanodevice technologies.Read moreRead less
A theoretical framework for practical partial fingerprint identification. Fingerprints captured from a crime scene are often partial and poor quality which makes it difficult to identify the criminal suspects from large databases. This project will find mathematical models which can estimate the missing information located in the blank areas of a partial fingerprint and effectively identify it.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100006
Funder
Australian Research Council
Funding Amount
$1,060,000.00
Summary
Ultra-high resolution focussed ion beam facility for Western Australia. Ultra-high resolution focussed ion beam facility: An ultra-high resolution dual beam facility (incorporating ion and electron beams) will provide 3D imaging, site-specific analysis and nano-machining to a wide range of internationally recognised Australian researchers across a broad spectrum of disciplines in the geosciences, engineering, biological and physical sciences. Providing critically needed access to this world-clas ....Ultra-high resolution focussed ion beam facility for Western Australia. Ultra-high resolution focussed ion beam facility: An ultra-high resolution dual beam facility (incorporating ion and electron beams) will provide 3D imaging, site-specific analysis and nano-machining to a wide range of internationally recognised Australian researchers across a broad spectrum of disciplines in the geosciences, engineering, biological and physical sciences. Providing critically needed access to this world-class infrastructure is expected to advance international competitiveness, leading to high-impact outcomes in smart materials, nanotechnology, bioscience, and geoscience, including support for the Australian resources sector.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
ARC Centre of Excellence in Optical Microcombs for Breakthrough Science. ARC Centre of Excellence in Optical Microcombs for Breakthrough Science. This Centre aims to explore the society wide transformations that will flow from optical frequency combs - thousands of highly pure light signals precisely spaced across the entire optical spectrum - by leveraging and building upon the latest breakthroughs in physics, materials science and nanofabrication. It expects to generate a wide new base of know ....ARC Centre of Excellence in Optical Microcombs for Breakthrough Science. ARC Centre of Excellence in Optical Microcombs for Breakthrough Science. This Centre aims to explore the society wide transformations that will flow from optical frequency combs - thousands of highly pure light signals precisely spaced across the entire optical spectrum - by leveraging and building upon the latest breakthroughs in physics, materials science and nanofabrication. It expects to generate a wide new base of knowledge in fields as diverse as astronomy, spectroscopy, chemical sensors, and precision measurement. Expected outcomes include the capability to realise complete comb systems on a chip the size of a fingernail, tailored to specific applications, with significant benefits spanning from imaging live cells to autonomous vehicles, satellite communications, and the search for exoplanets.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH210100030
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub in Intelligent Robotic Systems for Real-Time Asset Management. This hub aims to transform the way assets and infrastructure are managed by developing new capabilities for intelligent robotic systems for inspection, monitoring, and maintenance. The hub expects to generate new knowledge in robotics and associated fields including sensing, planning, data processing, and machine learning using interdisciplinary approaches and tight collaboration between academia and industry. The ex ....ARC Research Hub in Intelligent Robotic Systems for Real-Time Asset Management. This hub aims to transform the way assets and infrastructure are managed by developing new capabilities for intelligent robotic systems for inspection, monitoring, and maintenance. The hub expects to generate new knowledge in robotics and associated fields including sensing, planning, data processing, and machine learning using interdisciplinary approaches and tight collaboration between academia and industry. The expected outcomes are robots with the ability to autonomously collect data for integration into a digital twin that provides a real-time representation of the true state of a physical asset. The benefits include both improved asset management and establishing Australia as a leading manufacturer of advanced robotic systems.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH180100002
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. Thes ....ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. These dynamic systems will help determine what goal to achieve and the most efficient plan to achieve it. This Hub is expected to contribute to higher farming efficiency, lower production costs and fewer disease risks, giving the Australian industry new business opportunities and an international competitive advantage.Read moreRead less