Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100235
Funder
Australian Research Council
Funding Amount
$280,000.00
Summary
Accelerating Australia's large scale video surveillance research programmes. The research to be conducted using this infrastructure will bring immense benefits to Australia in terms of increased levels of public safety and in the protection of critical facilities from terrorism and other crimes, by developing better surveillance systems. This will provide both increases in measurable research outputs and opportunities for Australian business to commercialise these systems. The infrastructure wil ....Accelerating Australia's large scale video surveillance research programmes. The research to be conducted using this infrastructure will bring immense benefits to Australia in terms of increased levels of public safety and in the protection of critical facilities from terrorism and other crimes, by developing better surveillance systems. This will provide both increases in measurable research outputs and opportunities for Australian business to commercialise these systems. The infrastructure will accelerate the pace of surveillance research and development in Australia, enhancing the competitiveness of both Australia's researchers and the businesses that will commercialise these researchers' discoveries.Read moreRead less
Automated analysis of multi-modal medical data using deep belief networks. This project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a unified and optimal manner. The advantage of this technique is that it is able to automatically learn both the relevant features t ....Automated analysis of multi-modal medical data using deep belief networks. This project will develop an improved breast cancer computer-aided diagnosis (CAD) system that incorporates mammography, ultrasound and magnetic resonance imaging. This system will be based on recently developed deep learning techniques, which have the capacity to process multi-modal data in a unified and optimal manner. The advantage of this technique is that it is able to automatically learn both the relevant features to analyse in each modality and the hidden relationships between them. The use of deep belief networks has produced promising results in several fields, such as speech recognition, and so this project believes that our approach has the potential to improve both the sensitivity and specificity of breast cancer detection.Read moreRead less
Online Learning for Large Scale Structured Data in Complex Situations. Online Learning (OL) is the process of predicting answers for a sequence of questions. OL has enjoyed much attention in recent years due to its natural ability of processing large scale non-structured data and adapting to a changing environment. However, OL has three weaknesses: it does not scale for structured data; it often assumes that all of the data are equally important; it often considers that all of the data are compl ....Online Learning for Large Scale Structured Data in Complex Situations. Online Learning (OL) is the process of predicting answers for a sequence of questions. OL has enjoyed much attention in recent years due to its natural ability of processing large scale non-structured data and adapting to a changing environment. However, OL has three weaknesses: it does not scale for structured data; it often assumes that all of the data are equally important; it often considers that all of the data are complete and noise-free. These weaknesses limit its utility, because real data such as those that must be analysed in processing social networks, fraud detection do not satisfy the restrictions. The aim of this project is to develop theoretical and practical advances in OL that overcome the existing weaknesses.Read moreRead less
Next generation easy-clean lenses by robust liquid-repellent nanotextures. This project aims to produce better performing self-cleaning lenses, which are less likely to get dirty and are easy to clean. It will develop water and oil repellent coatings with superior optical transparency and mechanical, solvent and UV stability for both hard coated and anti-reflection coated optical lenses. Engineering of stable, ultra-liquid repellent nanomaterials on transparent surfaces will create a foundation ....Next generation easy-clean lenses by robust liquid-repellent nanotextures. This project aims to produce better performing self-cleaning lenses, which are less likely to get dirty and are easy to clean. It will develop water and oil repellent coatings with superior optical transparency and mechanical, solvent and UV stability for both hard coated and anti-reflection coated optical lenses. Engineering of stable, ultra-liquid repellent nanomaterials on transparent surfaces will create a foundation of knowledge for the industrial development of the future generation of easy care coatings, with vast application potential.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100129
Funder
Australian Research Council
Funding Amount
$425,200.00
Summary
Atomic layer nanofabrication system for multi-functional applications. This project aims to establish a multifunctional atomic layer nanofabrication facility in Sydney with the capacity to provide services nation-wide. The facility has powerful capabilities to produce mono-atom thin films, nanosize powders and two-dimensional nanostructures of a variety of materials, including elemental metals, metal oxides, metal nitrides, metal sulfides, metal-metal compounds, and polymers. This will significa ....Atomic layer nanofabrication system for multi-functional applications. This project aims to establish a multifunctional atomic layer nanofabrication facility in Sydney with the capacity to provide services nation-wide. The facility has powerful capabilities to produce mono-atom thin films, nanosize powders and two-dimensional nanostructures of a variety of materials, including elemental metals, metal oxides, metal nitrides, metal sulfides, metal-metal compounds, and polymers. This will significantly enhance Australian research and industrial activities in the areas of renewable energy production and storage, microelectronics, chemical and bio-sensors, protective coatings, flexible electronic devices, and catalysis.Read moreRead less
Making Meta-learning Generalised . This project aims to develop novel machine learning techniques, termed generalised meta-learning, to make machines better utilise past experience to solve new tasks with few data. It expects to reduce the undesirable dependence of current machine learning on labelled data and significantly expand its application scope. Expected outcomes of the project consist of new theoretical results on meta-learning and a set of innovative algorithms that can support the bui ....Making Meta-learning Generalised . This project aims to develop novel machine learning techniques, termed generalised meta-learning, to make machines better utilise past experience to solve new tasks with few data. It expects to reduce the undesirable dependence of current machine learning on labelled data and significantly expand its application scope. Expected outcomes of the project consist of new theoretical results on meta-learning and a set of innovative algorithms that can support the building of next generation of computer vision systems to work in open and dynamic environments. This should be able to produce solid benefits to the science, society, and economy of Australian via the application of these advanced intelligent systems.Read moreRead less
Special Research Initiatives - Grant ID: SR0354734
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
The Australian Research Network for Medical Devices: advanced technology solutions for patients and practitioners. Medical Device technologies embrace a wide range of scientific, engineering and medical knowledge, with the goal of assisting a clinical professional (doctor or nurse) deliver a service to a patient in an efficacious, cost effective manner. Development of appropriate medical devices, whether for diagnosis, treatment or prevention of disease or disability, is critical to improving h ....The Australian Research Network for Medical Devices: advanced technology solutions for patients and practitioners. Medical Device technologies embrace a wide range of scientific, engineering and medical knowledge, with the goal of assisting a clinical professional (doctor or nurse) deliver a service to a patient in an efficacious, cost effective manner. Development of appropriate medical devices, whether for diagnosis, treatment or prevention of disease or disability, is critical to improving health care and reducing health care costs. To be successful, a device must include all relevant disciplines in the research, development and testing phases. This network will bring together these groups, promoting knowledge sharing and cross-disciplinary investigations that illuminate current device limitations and potential solutions.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