Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical application ....Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical applications such as better wellness tracking and lifestyle-related illness prevention, which will be particularly critical to Australia's aging population. This project will also serve as a vehicle to educate and train Australia’s young scholars and engineers.Read moreRead less
Ethics, responsibility and the carbon budget. This project aims to provide a rigorous ethical framework for dividing the world’s remaining ‘carbon budget’ (CB). In order to avoid climate change the world must drastically limit its emissions of greenhouse gases. The project will develop a new analysis of how our assumptions concerning risk and harm shape conception of the CB. It will also provide a new understanding of how future emission rights should be allocated given that countries have emitt ....Ethics, responsibility and the carbon budget. This project aims to provide a rigorous ethical framework for dividing the world’s remaining ‘carbon budget’ (CB). In order to avoid climate change the world must drastically limit its emissions of greenhouse gases. The project will develop a new analysis of how our assumptions concerning risk and harm shape conception of the CB. It will also provide a new understanding of how future emission rights should be allocated given that countries have emitted vastly different quantities of greenhouse gases in the past. The project will analyse how the CB will impact the climate transition plans of countries such as Australia. The project will thus bring significant new research in philosophy to bear on a practical issue.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE210100137
Funder
Australian Research Council
Funding Amount
$881,758.00
Summary
Australian Environmental Specimen Bank: advancing specimen bank capability. The aim of this LIEF is to advance Australia’s specimen banking capabilities through a new, enhanced national facility, the Australian Environmental Specimen Bank (AESB). The AESB would be founded on a unique current archive of human and environmental samples established by the partners to the LIEF. Importantly, the AESB would be managed as a nationally available (to all public sector researchers), operationally self-fun ....Australian Environmental Specimen Bank: advancing specimen bank capability. The aim of this LIEF is to advance Australia’s specimen banking capabilities through a new, enhanced national facility, the Australian Environmental Specimen Bank (AESB). The AESB would be founded on a unique current archive of human and environmental samples established by the partners to the LIEF. Importantly, the AESB would be managed as a nationally available (to all public sector researchers), operationally self-funded resource for integrated exposure research into the future. The archive is expected to support longitudinal and cross-sectional studies to assess trends in exposure to chemical and biological hazards in the Australian population, identify emerging hazards, and provide a scientific basis for policy and regulatory actions.Read moreRead less
Parametric VR: An Interactive Virtual Reality System for Parametric Design. This project aims to create a new and intuitive set of user interactions for Virtual Reality (VR) to support parametric designers in architecture and design. Parametric tools are an emerging design technology dominating contemporary practices, yet their interfaces are on traditional desktop computers while VR is only employed to visualise the geometric models produced by the end design. This project will generate Paramet ....Parametric VR: An Interactive Virtual Reality System for Parametric Design. This project aims to create a new and intuitive set of user interactions for Virtual Reality (VR) to support parametric designers in architecture and design. Parametric tools are an emerging design technology dominating contemporary practices, yet their interfaces are on traditional desktop computers while VR is only employed to visualise the geometric models produced by the end design. This project will generate Parametric VR, a system of VR tools to support parametric design. Key outcomes include software tools and demonstrators to support parametric algorithms and processes in VR. This will have significant benefits for design industries, allowing designers to directly edit parametric design entirely in VR across the project lifecycle.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100163
Funder
Australian Research Council
Funding Amount
$411,000.00
Summary
Harnessing dynamic materials to produce better heterogeneous catalysts. This project aims to investigate an emerging class of catalysts featuring dynamic reaction sites using innovative computational chemistry methods. The capability of traditional materials has reached a performance status quo for many catalytic reactions. Dynamic materials may unlock a new dimension in catalyst design; however, their influence on reactivity is unclear, and the combination of materials and dynamics represents a ....Harnessing dynamic materials to produce better heterogeneous catalysts. This project aims to investigate an emerging class of catalysts featuring dynamic reaction sites using innovative computational chemistry methods. The capability of traditional materials has reached a performance status quo for many catalytic reactions. Dynamic materials may unlock a new dimension in catalyst design; however, their influence on reactivity is unclear, and the combination of materials and dynamics represents an immense parameter space. This project expects to provide a comprehensive framework for understanding dynamic catalytic processes. Expected outcomes of this project include the identification of specific materials and dynamics that achieve extraordinary efficiency for the benefit of sustainable chemical production.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