Industrial Transformation Training Centres - Grant ID: IC170100030
Funder
Australian Research Council
Funding Amount
$4,133,659.00
Summary
ARC Training Centre in Cognitive Computing for Medical Technologies. The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies. The Centre will provide a world-class industry-driven research training environment for PhD students ....ARC Training Centre in Cognitive Computing for Medical Technologies. The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies. The Centre will provide a world-class industry-driven research training environment for PhD students and postdoctoral researchers. These researchers will lead the medical technology industry into a new era of data-driven personalised and precision medical devices and applications. The Centre will result in the development of capabilities in the core technologies of machine learning and the practical application of cognitive computing in the area of health.Read moreRead less
Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research ....Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research will include new data privacy models, new privacy-preserving data mining algorithms, and a prototype of cloud data mining software. These will help businesses cut costs for data mining and privacy protection, and provide significant benefits toward helping Australia achieve its national cyber security strategy and potentially provide economic impact from commercialisation of new software technology for the industry partner.Read moreRead less
Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while pres ....Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while preserving the data privacy. These tools should provide significant benefits to the privacy of cloud users, as well as financial and reputation benefits to the IT industry, by significantly reducing the likelihood of massive user data privacy breaches in the event of a cyber-hacking attack on the cloud server.Read moreRead less
Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775562
Funder
Australian Research Council
Funding Amount
$500,000.00
Summary
The Melbourne Nanofabrication Facility. Australia is desperately short of facilities for actual fabrication, prototyping and construction of advanced micromechanical and nanoscale systems. This is impeding both academic researchers and industrial developers in the materials, optics and biotechnological industries. The proposed instrument would complete the development of Australia's newest high resolution microscopy centre and enable a wide range of users to image, measure, build and design comp ....The Melbourne Nanofabrication Facility. Australia is desperately short of facilities for actual fabrication, prototyping and construction of advanced micromechanical and nanoscale systems. This is impeding both academic researchers and industrial developers in the materials, optics and biotechnological industries. The proposed instrument would complete the development of Australia's newest high resolution microscopy centre and enable a wide range of users to image, measure, build and design complex nanostructures at the atomic level and upwards. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100048
Funder
Australian Research Council
Funding Amount
$340,000.00
Summary
Nanoscale optical microscopy facility. The optical microscope has enabled us to see micro-objects, leading to revolutionary discoveries in medicine and natural sciences. However, the smallest object resolved by a microscope is limited by the wavelength of light. To see nanoscale objects smaller than the wavelength, a new tool for nano-imaging is needed. This project will establish a nanoscale optical microscopy facility that will reveal the topology and true colours of the nano-objects. Such inf ....Nanoscale optical microscopy facility. The optical microscope has enabled us to see micro-objects, leading to revolutionary discoveries in medicine and natural sciences. However, the smallest object resolved by a microscope is limited by the wavelength of light. To see nanoscale objects smaller than the wavelength, a new tool for nano-imaging is needed. This project will establish a nanoscale optical microscopy facility that will reveal the topology and true colours of the nano-objects. Such information, achieved through spectroscopic analysis of the light emitted or scattered at the nanoscale, will uncover some of the most fundamental aspects of the nanoworld, leading to cutting-edge scientific discoveries and important industrial applications in photonics and solar energy.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100124
Funder
Australian Research Council
Funding Amount
$300,000.00
Summary
Rapid prototyping 3-D nano-pattern large area writer . Rapid prototyping 3-D nano-pattern large area writer:
The project aims to establish a nanoscale three-dimensional patterning rapid prototyping capability to enable advanced nanofabrication research and development. The extension of patterning nanostructured materials in three dimensions with nanometre resolution, developed for semiconductor processing, to nano-electronics, nanophotonics, nanosensors, nanobiotechnology and fundamental studi ....Rapid prototyping 3-D nano-pattern large area writer . Rapid prototyping 3-D nano-pattern large area writer:
The project aims to establish a nanoscale three-dimensional patterning rapid prototyping capability to enable advanced nanofabrication research and development. The extension of patterning nanostructured materials in three dimensions with nanometre resolution, developed for semiconductor processing, to nano-electronics, nanophotonics, nanosensors, nanobiotechnology and fundamental studies of nanoscale phenomena in science and engineering has opened new opportunities in these areas. As these areas accelerate, there is a need to develop nanoscale patterns and structures via rapid prototyping pathways and with methods accessible to an ever-diverse researcher base without a background in nanofabrication. By establishing the first NanoFrazor in Australia, this project aims to provide new technology for the fabrication of high-resolution nanoscale structures and patterns.
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On effectively modelling and efficiently discovering communities from large networks. Finding and maintaining close communities from very large scale, dynamically changing networks is interesting and challenging. This project aims to develop new techniques to identify such communities as fast as possible through exploiting the rich semantics and individual relationships within the communities.
Haemodynamic investigation of flow diverter stents for the treatment of intracranial aneurysms. This project will explore the engineering of a flow diverter, an endovascular device for the treatment of brain aneurysms. The project will determine the optimal design of new types of flow diverters, which in turn could improve the effectiveness of treatments, thus reducing the associated costs of cerebral haemorrhage and stroke.