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
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
Towards knowledge discovery from imperfect and evolving data. Information extraction from data is critical, both to analyse and protect consumer data. However, many learning techniques are developed using perfect, static datasets, quite different to messy, ever-changing real-world data. This project aims to develop data analytics techniques that can extract accurate information in complex structures from imperfect/incomplete data that changes over time. Expected outcomes are a prototype tool, te ....Towards knowledge discovery from imperfect and evolving data. Information extraction from data is critical, both to analyse and protect consumer data. However, many learning techniques are developed using perfect, static datasets, quite different to messy, ever-changing real-world data. This project aims to develop data analytics techniques that can extract accurate information in complex structures from imperfect/incomplete data that changes over time. Expected outcomes are a prototype tool, tested on real datasets, that combines new techniques in data modelling, algorithm development, and system design. Likely benefits are enhanced Australia's competence in data science through student training and new, robust data tools relevant to critical sectors such as cybersecurity, healthcare, and defence.Read moreRead less
Next Generation Terahertz Materials. We will investigate novel tuneable terahertz (THz) metamaterials, based on the exploitation of phase change materials. Tunable metamaterial-based terahertz devices, such as modulators and filters, will potentially generate significant downstream IP for short-path wireless applications. This fills a critical need to meet the increasing demand for greater bandwidth. Elucidation of the fundamental science underlying the interaction between terahertz signals and ....Next Generation Terahertz Materials. We will investigate novel tuneable terahertz (THz) metamaterials, based on the exploitation of phase change materials. Tunable metamaterial-based terahertz devices, such as modulators and filters, will potentially generate significant downstream IP for short-path wireless applications. This fills a critical need to meet the increasing demand for greater bandwidth. Elucidation of the fundamental science underlying the interaction between terahertz signals and phase-change materials will enable tuneable metamaterials. A major leap will be devices that can steer and modulate terahertz signals with unprecedented agility and compactness; enabling future high-bandwidth desktop data transfer.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100238
Funder
Australian Research Council
Funding Amount
$426,087.00
Summary
Integrated silicon carbide nanosensors for monitoring extreme environment. This project aims to develop a highly sensitive and reliable sensing platform for structural health monitoring in harsh environments, encompassing high temperature, corrosion, and shock. These conditions have been posing several technical challenges to sensing and electronic devices. The project elucidates the piezoresistive and thermoresistive effects in silicon carbide nanowires, which are the building blocks of robust ....Integrated silicon carbide nanosensors for monitoring extreme environment. This project aims to develop a highly sensitive and reliable sensing platform for structural health monitoring in harsh environments, encompassing high temperature, corrosion, and shock. These conditions have been posing several technical challenges to sensing and electronic devices. The project elucidates the piezoresistive and thermoresistive effects in silicon carbide nanowires, which are the building blocks of robust mechanical and thermal sensors used in extreme conditions. The findings from this project expect to provide Australia with the cutting-edge expertise necessary for developing next-generation monitoring systems in the extreme environments of the oil/gas transportation, mining, automobile, and space exploration industries.Read moreRead less
Engineering nanomembranes for Long-term Implanted Flexible Electronics. This project aims to investigate the key technologies of inorganic semiconductor nanomembranes for long-lived bio-integrated electronics. Taking advantage of the well-established silicon carbide (SiC) synthesis and fabrication technology, the project expects to elucidate a new understanding of the SiC-on-polymer platform, establishing a foundational guideline for the development of chemically inert and mechanically flexible ....Engineering nanomembranes for Long-term Implanted Flexible Electronics. This project aims to investigate the key technologies of inorganic semiconductor nanomembranes for long-lived bio-integrated electronics. Taking advantage of the well-established silicon carbide (SiC) synthesis and fabrication technology, the project expects to elucidate a new understanding of the SiC-on-polymer platform, establishing a foundational guideline for the development of chemically inert and mechanically flexible devices. These findings will offer innovative solutions for daunting challenges in bio-integrated electronics, leveraging their safety, reliability, and long-term performance. The project expects to offer Australia cutting edge technologies and an impact profile in the fast-growing flexible bio-electronics market.Read moreRead less
Deep visual understanding: learning to see in an unruly world. Deep Learning has achieved incredible success at an astonishing variety of Computer Vision tasks recently. This project aims to convey this success into the challenging domain of high-level image-based reasoning. It will extend deep learning to achieve flexible semantic reasoning about the content of images based on information gleaned from the huge volumes of data available on the Internet. The project expects to overcome one of the ....Deep visual understanding: learning to see in an unruly world. Deep Learning has achieved incredible success at an astonishing variety of Computer Vision tasks recently. This project aims to convey this success into the challenging domain of high-level image-based reasoning. It will extend deep learning to achieve flexible semantic reasoning about the content of images based on information gleaned from the huge volumes of data available on the Internet. The project expects to overcome one of the primary limitations of deep learning and will greatly increase its practical application to a range of industrial, cultural or health settings.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100539
Funder
Australian Research Council
Funding Amount
$408,000.00
Summary
Towards conversational vision-based Artificial Intelligence. This project aims to develop a novel learning framework, Vision-Ask-Answer-Act (V3A). This framework will allow a machine to perform a sequence of actions via a conversation with human users, based on intricate processing of not just visual input, but human-computer verbal exchanges. Artificial intelligence has great potential as a tool for economic productivity and daily tasks. Applications in cars and assistant robots, still in their ....Towards conversational vision-based Artificial Intelligence. This project aims to develop a novel learning framework, Vision-Ask-Answer-Act (V3A). This framework will allow a machine to perform a sequence of actions via a conversation with human users, based on intricate processing of not just visual input, but human-computer verbal exchanges. Artificial intelligence has great potential as a tool for economic productivity and daily tasks. Applications in cars and assistant robots, still in their early days, typically require significant expertise to use effectively. The outcomes of this project will push the boundary of vision-language research to produce a conversational intelligent agent that can be easily used in common situations across industry, transport, the medical sector, and at home.Read moreRead less