Build competency aware and assuring machine learning systems. Recent development in machine learning (ML) has seen ML models with extremely high prediction accuracy. However, to support human-machine partnership in decision-making in complex environments, beyond accuracy, it is essential for ML systems to be competency aware and reliable, and at the same time be exploratory. This project aims to develop novel techniques to equip a ML system with the ability to identify own competency, to justify ....Build competency aware and assuring machine learning systems. Recent development in machine learning (ML) has seen ML models with extremely high prediction accuracy. However, to support human-machine partnership in decision-making in complex environments, beyond accuracy, it is essential for ML systems to be competency aware and reliable, and at the same time be exploratory. This project aims to develop novel techniques to equip a ML system with the ability to identify own competency, to justify its competency and decisions, to explore unknown situations and fully utilise existing expertise to deal with unknowns. The expected outcomes of the project will enable ML systems to become truely intelligent and reliable machine partners for human decision makers in a wide range of applications.Read moreRead less
Fairness aware data mining for discrimination free decision-making. This project aims to develop data mining methods to detect algorithmic discriminations and to build fair decision models. It expects to provide techniques for regulatory organisations to detect discriminations in algorithmic decisions, and for various companies and organisations to build fair decision systems. Expected outcomes are novel and accurate methods for discrimination detection, practical and versatile techniques for fa ....Fairness aware data mining for discrimination free decision-making. This project aims to develop data mining methods to detect algorithmic discriminations and to build fair decision models. It expects to provide techniques for regulatory organisations to detect discriminations in algorithmic decisions, and for various companies and organisations to build fair decision systems. Expected outcomes are novel and accurate methods for discrimination detection, practical and versatile techniques for fair decision model building, and improved understanding of the relationships between privacy preservation and discrimination prevention to enable new techniques to achieve both goals. The developed techniques enable society to tackle ethical challenges in the big data era where many decisions are analytics based. Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100119
Funder
Australian Research Council
Funding Amount
$427,111.00
Summary
Towards Internet of Things Enabled Automated Mushroom Cultivation. This project aims to develop novel Internet-of-Things based learning techniques to inform the design and construction of a portable, automated system for the cultivation of mushrooms. The expected outcomes are a portable smart mushroom cultivation system that provides access to new agriculture techniques and local, fresh supplies in rural and remote areas; learning algorithms that detect mushroom ripeness and set the best environ ....Towards Internet of Things Enabled Automated Mushroom Cultivation. This project aims to develop novel Internet-of-Things based learning techniques to inform the design and construction of a portable, automated system for the cultivation of mushrooms. The expected outcomes are a portable smart mushroom cultivation system that provides access to new agriculture techniques and local, fresh supplies in rural and remote areas; learning algorithms that detect mushroom ripeness and set the best environmental parameters; and a dataset of mushroom cultivation parameters. These products, and associated training opportunities through a strong focus on public and industry engagement, will benefit the industry partners and horticultural producers to improve resource efficiency, waste reduction, and overall yield.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
Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the c ....Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the characteristics of the particles, their sources and spatial and temporal variation across different urban areas and time scales. Further, the impacts of changing fuels, vehicle technologies, and climate on future trends of the particles will be elucidated.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH210100025
Funder
Australian Research Council
Funding Amount
$4,379,165.00
Summary
ARC Research Hub for Advanced Manufacturing with 2D Materials (AM2D). Australia holds large resources of critical 2D minerals – key enablers of several existing and emerging technologies in Energy Storage, Purification and Printed Electronics. The AM2D hub aims to provide a sophisticated environment for researchers and an industrial translation platform for manufacturers; a hub where leading academics, bright students, and industry partners come together to learn, apply, collaborate, innovate, a ....ARC Research Hub for Advanced Manufacturing with 2D Materials (AM2D). Australia holds large resources of critical 2D minerals – key enablers of several existing and emerging technologies in Energy Storage, Purification and Printed Electronics. The AM2D hub aims to provide a sophisticated environment for researchers and an industrial translation platform for manufacturers; a hub where leading academics, bright students, and industry partners come together to learn, apply, collaborate, innovate, and deliver industry transformation in advanced manufacturing. Anticipated outcomes include the transformation of newly discovered materials into globally traded, high-value 2D products, enabling Australian industries to capture more wealth and jobs from this large and growing market.
Read moreRead less
Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty a ....Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty and test multiple geological scenarios. This enhanced capability is important for the future of Australia's subsurface management, including urban geology and our continuously growing sustainable resources industry.Read moreRead less
Fundamentals of Electrically Conductive Elastomer Composites. This project aims to address the performance instability of stretchable/flexible electronics and devices, by developing mechanically resilient, electrically conductive patterns of nanomaterials to be encased in elastomers. It expects to generate new knowledge in the field of composite processing, to provide fundamentals for composite industry to develop novel strain gauges and conductors. Expected outcomes include a methodology for st ....Fundamentals of Electrically Conductive Elastomer Composites. This project aims to address the performance instability of stretchable/flexible electronics and devices, by developing mechanically resilient, electrically conductive patterns of nanomaterials to be encased in elastomers. It expects to generate new knowledge in the field of composite processing, to provide fundamentals for composite industry to develop novel strain gauges and conductors. Expected outcomes include a methodology for stabilising the cyclic performance of electrically conductive elastomer composites. This project is anticipated to provide significant long-term benefits not only for underwater infrastructure condition monitoring but for remote and personalised health-monitoring.Read moreRead less
Flame-Retarding and Mechanically Resilient Elastomer Composites. This project will develop a new generation of flame-retarding and mechanically resilient elastomer composites by taking advantage of nanoscale effect and synergy. The outcomes will be two types of flame-retarding additive pellets and their elastomer composites; these pellets also suit other polymers such as thermoplastics. The elastomer composites are expected to have excellent flame retardancy, mechanical properties, and fatigue p ....Flame-Retarding and Mechanically Resilient Elastomer Composites. This project will develop a new generation of flame-retarding and mechanically resilient elastomer composites by taking advantage of nanoscale effect and synergy. The outcomes will be two types of flame-retarding additive pellets and their elastomer composites; these pellets also suit other polymers such as thermoplastics. The elastomer composites are expected to have excellent flame retardancy, mechanical properties, and fatigue performance, to meet the demands from industrial partners. The project will provide a platform for elastomer manufacturing industry to develop flame-retarding, high-performance products for domestic applications and for export. Read moreRead less
Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geop ....Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geophysical modelling in order to predictively characterise sub-surface geology. The outcome will be an open-source forecasting dashboard enabling decision making while considering underlying risk related to resource extractions and management with significant benefits to the Australian society (lower emissions, clean water).Read moreRead less