Collaborative Sensing and Learning for Maritime Situational Awareness. We aim to demonstrate coordinated autonomous sensing of naval assets in dynamic maritime environments, reducing the operational load required to deliver a high quality maritime situational awareness. A realistic simulation based approach will help us develop novel artificial intelligence technology including: self-adaptive strategies for dynamic asset allocation, embedded smart sensing capabilities for naval observation syste ....Collaborative Sensing and Learning for Maritime Situational Awareness. We aim to demonstrate coordinated autonomous sensing of naval assets in dynamic maritime environments, reducing the operational load required to deliver a high quality maritime situational awareness. A realistic simulation based approach will help us develop novel artificial intelligence technology including: self-adaptive strategies for dynamic asset allocation, embedded smart sensing capabilities for naval observation systems and novel approaches to continuous collaborative learning from multi-spectral media. In addition to the emerging partnership between participants, the project will advance sovereign capability to develop maritime intelligence gathering technology for the Royal Australian Navy to underpin stability in our region. Read moreRead less
Multiobjective Memetic Algorithms for Multi-task Symbolic Regression. This project aims at developing the new generation of symbolic regression methods using a yet unexplored way to represent mathematical functions. We will use memetic algorithms to create mathematical models for symbolic regression. Our memetic computing approach will be data-driven and will use multi-objective optimization and multi-task evolutionary computation for symbolic regression, addressing a core need of many areas of ....Multiobjective Memetic Algorithms for Multi-task Symbolic Regression. This project aims at developing the new generation of symbolic regression methods using a yet unexplored way to represent mathematical functions. We will use memetic algorithms to create mathematical models for symbolic regression. Our memetic computing approach will be data-driven and will use multi-objective optimization and multi-task evolutionary computation for symbolic regression, addressing a core need of many areas of science and technology. A large number of datasets will be investigated to benchmark the new methods. The expected outcomes will help support our national priorities with new data analytic capabilities. With a strong and interdisciplinary team in three continents, the project will attract international collaboration. Read moreRead less
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
Industrial Transformation Research Hubs - Grant ID: IH170100013
Funder
Australian Research Council
Funding Amount
$2,962,655.00
Summary
ARC Research Hub for Digital Enhanced Living. The ARC Research Hub for Digital Enhanced Living aims to address the growing challenges of aging people living in their own home or residential care. This will be through inventing new personalised medical technologies through an innovative approach, with a multi-disciplinary team leveraging diverse expertise. An enhanced capacity to create and deploy fit-for-purpose personalised health solutions will result in revenues from new and repurposed device ....ARC Research Hub for Digital Enhanced Living. The ARC Research Hub for Digital Enhanced Living aims to address the growing challenges of aging people living in their own home or residential care. This will be through inventing new personalised medical technologies through an innovative approach, with a multi-disciplinary team leveraging diverse expertise. An enhanced capacity to create and deploy fit-for-purpose personalised health solutions will result in revenues from new and repurposed devices, analytics and integration platforms. New jobs and improved care will see cost reductions, better use of resources and enhanced mental, physical and social well-being.Read moreRead less
Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart g ....Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart grids and optimal charging and discharging tasks in a large network of electric vehicles, helping Australian power industry improve efficiency and security, as well as training the next generation scientists and engineers for Australia in this emerging field.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC210100056
Funder
Australian Research Council
Funding Amount
$3,975,864.00
Summary
ARC Training Centre for Next-Gen Technologies in Biomedical Analysis . The Centre for Next-Gen Technologies in Biomedical Analysis will deliver workforce trained in the development of transformative technologies that will rapidly expand the Australian pharmaceutical, diagnostic and defence sector. The university-industry partnership will increase Australia’s manufacturing capability by fast tracking screening, by integrating 3D printing, advanced sensing, big data analytics, machine learning an ....ARC Training Centre for Next-Gen Technologies in Biomedical Analysis . The Centre for Next-Gen Technologies in Biomedical Analysis will deliver workforce trained in the development of transformative technologies that will rapidly expand the Australian pharmaceutical, diagnostic and defence sector. The university-industry partnership will increase Australia’s manufacturing capability by fast tracking screening, by integrating 3D printing, advanced sensing, big data analytics, machine learning and artificial intelligence for the delivery of optimal solutions in diagnosis, treatment and wellbeing. The centre will deliver training in Industry 4.0 skills which will boost early-stage scale-up and accelerate the sector’s supply chain, which is pivotal for the Australian industries to maintain a competitive edge. Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC230100036
Funder
Australian Research Council
Funding Amount
$4,999,600.00
Summary
ARC Training Centre for Radiation Innovation. This Centre aims to train the next generation of transdisciplinary leaders to enable, grow and transform industries that utilise or are impacted by radiation. Rapid growth in the natural resources, health, space and national security sectors urgently requires a highly capable workforce with scientific and regulatory knowledge to develop new technologies and social licence needs to maximise benefits. Outcomes include new methods of radiopharmaceutical ....ARC Training Centre for Radiation Innovation. This Centre aims to train the next generation of transdisciplinary leaders to enable, grow and transform industries that utilise or are impacted by radiation. Rapid growth in the natural resources, health, space and national security sectors urgently requires a highly capable workforce with scientific and regulatory knowledge to develop new technologies and social licence needs to maximise benefits. Outcomes include new methods of radiopharmaceutical production, more resilient spacecraft and robust regulatory frameworks. Industries and communities will benefit from a future workforce prepared for safe adoption, development and delivery of emerging techniques and advanced radiation technologies, enhancing Australia’s prosperity and security.Read moreRead less
ARC Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals. The aim of the Centre is to progress scientific knowledge to establish transformational improvement in minerals beneficiation, essential for meeting global demand for metals. The research aims to achieve more selective, faster, and efficient separations, combining major advances in separation technologies with increased functionality of new reagents. The Centre outcomes will also ensure the sustainability of the miner ....ARC Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals. The aim of the Centre is to progress scientific knowledge to establish transformational improvement in minerals beneficiation, essential for meeting global demand for metals. The research aims to achieve more selective, faster, and efficient separations, combining major advances in separation technologies with increased functionality of new reagents. The Centre outcomes will also ensure the sustainability of the minerals industry in Australia, through a significant reduction in cost, environmental impact, and through lower energy and water usage. The Centre also seeks to establish a new generation of scientists and research leaders in minerals beneficiation to support the innovation needed into the future by this major Australian industry.Read moreRead less
Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are inn ....Advancing the visualisation and quantification of nephrons with MRI. . This project aims to characterise key components of nephrons, the glomeruli and tubules, using magnetic resonance imaging without contrast agents, in combination with Deep Learning and super-resolution techniques. Nephrons, the basic functional unit of the kidney, are critical to the maintenance of the body’s homeostasis. Their number and architecture are critical determinants of kidney function. The expected outcomes are innovative semi-automated nephron visualisation and quantitation tools that enable efficient renal phenotyping. Techniques tailored to widely accessible preclinical research scanners are expected to accelerate research into genetic and environmental factors affecting kidney microstructure in embryonic and post-natal life.Read moreRead less