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
Optimal Robust Fitting under the Framework of LP-Type Problems. The project aims to develop algorithms to support the development of robust and accurate computer vision systems. Real-world visual data (images, videos) is inherently noisy and outlier prone. To build computer vision systems that work reliably in the real world, it is necessary to ensure that the underlying algorithms are robust and efficient. The project aims to devise novel algorithms that can compute the best possible result giv ....Optimal Robust Fitting under the Framework of LP-Type Problems. The project aims to develop algorithms to support the development of robust and accurate computer vision systems. Real-world visual data (images, videos) is inherently noisy and outlier prone. To build computer vision systems that work reliably in the real world, it is necessary to ensure that the underlying algorithms are robust and efficient. The project aims to devise novel algorithms that can compute the best possible result given the input data in a short amount of time. The expected outcomes would support the construction of reliable and accurate computer vision-based systems, such as large-scale 3-D reconstruction from photo collections, self-driving cars and domestic robots.Read moreRead less
Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including comm ....Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including communications and navigational satellites, in Earth’s orbit from collisions and covert sabotage. Increased space use by government and civilian agencies opens up opportunities for the space industry. This project is expected to develop Australia’s space surveillance capabilities, protect space assets and capture a growing market.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
Photogrammetric Reconstruction for Underwater Virtual Heritage Experiences. This project aims to enable significant underwater cultural heritage sites such as shipwrecks to be recreated in immersive underwater virtual heritage experiences. Photogrammetric 3D reconstruction techniques will be used to generate complex digital 3D models of shipwreck sites from hundreds of thousands of underwater images. This will allow vivid experiences to be created which explain the stories of these wrecks. The p ....Photogrammetric Reconstruction for Underwater Virtual Heritage Experiences. This project aims to enable significant underwater cultural heritage sites such as shipwrecks to be recreated in immersive underwater virtual heritage experiences. Photogrammetric 3D reconstruction techniques will be used to generate complex digital 3D models of shipwreck sites from hundreds of thousands of underwater images. This will allow vivid experiences to be created which explain the stories of these wrecks. The project will conduct audience engagement studies to recommend the most appropriate methods to implement underwater virtual heritage experiences for Australian audiences. The sites which will be used as test datasets are some of the most significant Australian shipwreck sites, including HMAS Sydney (II) and HMAS AE1.Read moreRead less
ARC Research Network for a Secure Australia. The Research Network for a Secure Australia (RNSA) is a multi-disciplinary collaboration established to strengthen Australia's research capacity for protecting critical infrastructure from natural or human-caused disasters including terrorist acts. The RNSA will facilitate a knowledge-sharing network for research organisations, government and the private sector to develop research tools and methods to mitigate emerging safety and security issues relat ....ARC Research Network for a Secure Australia. The Research Network for a Secure Australia (RNSA) is a multi-disciplinary collaboration established to strengthen Australia's research capacity for protecting critical infrastructure from natural or human-caused disasters including terrorist acts. The RNSA will facilitate a knowledge-sharing network for research organisations, government and the private sector to develop research tools and methods to mitigate emerging safety and security issues relating to critical infrastructure. World-leaders with extensive national and international linkages in relevant scientific, engineering and technological research will lead this collaboration. The RNSA will launch various activities to foster research collaboration and nurture young investigators.Read moreRead less
Multiliteracies for addressing disadvantage in senior school science. Multiliteracies for addressing disadvantage in senior school science. This project aims to develop discipline-specific pedagogies in senior physics, chemistry and biology to improve disadvantaged students’ engagement and achievement. Many students from disadvantaged backgrounds fail to develop the linguistic precision and symbolic representational dexterity needed to comprehend and communicate senior school science concepts. T ....Multiliteracies for addressing disadvantage in senior school science. Multiliteracies for addressing disadvantage in senior school science. This project aims to develop discipline-specific pedagogies in senior physics, chemistry and biology to improve disadvantaged students’ engagement and achievement. Many students from disadvantaged backgrounds fail to develop the linguistic precision and symbolic representational dexterity needed to comprehend and communicate senior school science concepts. These pedagogies will ‘infuse’ multiliteracies in senior school science to improve access to science-based pathways for these students, and enable them to understand progressively more complex scientific concepts and demonstrate this in examinations. This project is expected to improve student retention, arrest declining enrolments in senior school science, and increase young people working in science.Read moreRead less
Engaging Students during the Early Years of Secondary School. This project aims to design, test and share sustainable strategies to support teachers and enable students from low socioeconomic communities to achieve success. The greatest decreases in students’ interest and effort occur when they transition into secondary school, with students from low socioeconomic communities at greatest risk of disengagement. What can teachers do to engage their students during this key life transition? This pr ....Engaging Students during the Early Years of Secondary School. This project aims to design, test and share sustainable strategies to support teachers and enable students from low socioeconomic communities to achieve success. The greatest decreases in students’ interest and effort occur when they transition into secondary school, with students from low socioeconomic communities at greatest risk of disengagement. What can teachers do to engage their students during this key life transition? This project plans to identify teacher behaviours that motivate students in their first year at secondary school. Using an experimental design with a representative sample of 150 teachers and 1500 students in low socioeconomic areas across three states, the project plans to test whether an online professional learning program for teachers can improve student engagement and achievement. This cost-effective and scalable intervention is designed for widespread dissemination to Australian teachers.Read moreRead less
Fine Tuning: A Reconciliation of Indigenous and Western Musical Traditions. Focusing on central Australian song lines, the project strengthens our knowledge, understanding and application of the intricate tuning systems that underpin traditional Indigenous musical practices. Employing a unique methodology that combines Indigenous and contemporary Western musical performance practices with cutting-edge digital technologies, the project will show how the highly nuanced and sophisticated tunings at ....Fine Tuning: A Reconciliation of Indigenous and Western Musical Traditions. Focusing on central Australian song lines, the project strengthens our knowledge, understanding and application of the intricate tuning systems that underpin traditional Indigenous musical practices. Employing a unique methodology that combines Indigenous and contemporary Western musical performance practices with cutting-edge digital technologies, the project will show how the highly nuanced and sophisticated tunings at the heart of Indigenous music-making can be preserved when transposed to contemporary Western art music contexts. In so doing, the case is made for a more genuine, equitable dialogue between Indigenous and non-Indigenous music-makers, to the mutual benefit of musicians, audiences, and society at large. Read moreRead less
Linking for Life: Enhancing pathways to well-being for all Australians. The Linking for Life Project will identify pathways to wellbeing and better social outcomes across the life-course for high-risk/vulnerable individuals and their families to streamline service provision, improve outcomes and identify cost-efficiencies across government agencies. The work will expand cross-sectoral data linkage capability, enhancing research capacity to generate evidence-based policy to improve integrated ser ....Linking for Life: Enhancing pathways to well-being for all Australians. The Linking for Life Project will identify pathways to wellbeing and better social outcomes across the life-course for high-risk/vulnerable individuals and their families to streamline service provision, improve outcomes and identify cost-efficiencies across government agencies. The work will expand cross-sectoral data linkage capability, enhancing research capacity to generate evidence-based policy to improve integrated service delivery across government. The project will also trial innovative data linkage models including the creation of data repositories to improve efficiency for data provision and access, which will have application nationally and enable more timely access to whole-population linked cross-sector data.Read moreRead less