Discovery Early Career Researcher Award - Grant ID: DE230101233
Funder
Australian Research Council
Funding Amount
$454,386.00
Summary
Addressing the Crisis of Local Visual News in Regional and Remote Australia. This project aims to measure the volume and quality of visual content on regional news platforms by diverse publishers in eight key geographic areas. It is the first in Australia to examine the full cycle from production through presentation to consumption for local visual news in a regional context. Expected project outcomes include enhanced relationships between journalists and communities, stronger regional news ecos ....Addressing the Crisis of Local Visual News in Regional and Remote Australia. This project aims to measure the volume and quality of visual content on regional news platforms by diverse publishers in eight key geographic areas. It is the first in Australia to examine the full cycle from production through presentation to consumption for local visual news in a regional context. Expected project outcomes include enhanced relationships between journalists and communities, stronger regional news ecosystems, and a more representative local visual news product. These outcomes boost the academic understanding of an understudied area, help regional Australia, including regional Indigenous Australia, see itself in the journalism that is produced in the regions, and provide commercial benefits to hard-hit news providers.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101072
Funder
Australian Research Council
Funding Amount
$454,705.00
Summary
Investigating the agency of Aboriginal Frontier War memorials. This project aims to unite conflicting versions of Australian history by investigating the impact and effectiveness of Australian Aboriginal Frontier War memorials. It will expand our understanding of the shared sacrifices by First Nation and settler Australians during the frontier war and demonstrate the reconciliatory potential of memorialising art informed by Indigenous oral history and creative arts research and practice. The soc ....Investigating the agency of Aboriginal Frontier War memorials. This project aims to unite conflicting versions of Australian history by investigating the impact and effectiveness of Australian Aboriginal Frontier War memorials. It will expand our understanding of the shared sacrifices by First Nation and settler Australians during the frontier war and demonstrate the reconciliatory potential of memorialising art informed by Indigenous oral history and creative arts research and practice. The social and cultural benefits include developing a new understanding of the historical construction of Australian national identity and the potential of Indigenous art to transform the function of Australian military monuments as well as a permanent archive of short documentary films and publication.Read moreRead less
Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it i ....Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it is not clear to the end user how reliable the results are. The outcomes intend to deliver advanced knowledge and capability in artificial intelligence and machine learning that Australia urgently needs to capitalise on bringing deep learning into practical applications delivering economic, commercial and social impact.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101127
Funder
Australian Research Council
Funding Amount
$379,000.00
Summary
The visual politics of populism. This project aims to investigate the visual politics of populism across the globe. Against a backdrop of unprecedented success of populists worldwide, the project will use six international case studies to comparatively examine how populists use visual media, how visual media covers populists, and the audience effects of these practices. Expected outcomes include enhanced insight into the linkages between populism, visual legitimacy and democracy, and a deeper un ....The visual politics of populism. This project aims to investigate the visual politics of populism across the globe. Against a backdrop of unprecedented success of populists worldwide, the project will use six international case studies to comparatively examine how populists use visual media, how visual media covers populists, and the audience effects of these practices. Expected outcomes include enhanced insight into the linkages between populism, visual legitimacy and democracy, and a deeper understanding of contemporary populism’s appeal. This project expects to inform how mainstream parties and civil society groups can better deal with populists, as well as informing best practice on how media can cover populists.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101297
Funder
Australian Research Council
Funding Amount
$429,000.00
Summary
A novel, dictionary-free, multi-contrast MRI method for microscopic imaging. This project aims to develop a novel quantitative imaging technique for comprehensive in vitro and in vivo tissue characterisation on the microscopic scale. The technology innovated in the project could revolutionise microscopic imaging techniques by breaking through the sub-millimetre image resolution bottleneck of current magnetic resonance imaging (MRI) methods. This project expects to generate new knowledge in the e ....A novel, dictionary-free, multi-contrast MRI method for microscopic imaging. This project aims to develop a novel quantitative imaging technique for comprehensive in vitro and in vivo tissue characterisation on the microscopic scale. The technology innovated in the project could revolutionise microscopic imaging techniques by breaking through the sub-millimetre image resolution bottleneck of current magnetic resonance imaging (MRI) methods. This project expects to generate new knowledge in the emerging field of biological imaging and to deliver an integrated imaging platform for mapping various tissue microscopic components at the cellular level. Successful outcomes have the potential for commercialisation and will accelerate a range of fundamental science and engineering studies requiring imaging techniques.Read moreRead less
Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing ....Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing the human contact with animals are of high priority in the development of this Australian-led emerging industry. The project aims to develop technology to bring this world- first aquaculture factory to large scale production, and create new export opportunities for lobsters and production systems.Read moreRead less
Can the Relational Account predict search in multiple-element displays? . This project provides evidence of a novel mechanism that guides visual attention. Our results confirm the existence of a mechanism that can rapidly and automatically assess the dominant feature(s) in a visual scene and radically change how attention is tuned to a target object. Moreover, this attention-guiding target template can change systematically as observers search through different items in visual search, possibly d ....Can the Relational Account predict search in multiple-element displays? . This project provides evidence of a novel mechanism that guides visual attention. Our results confirm the existence of a mechanism that can rapidly and automatically assess the dominant feature(s) in a visual scene and radically change how attention is tuned to a target object. Moreover, this attention-guiding target template can change systematically as observers search through different items in visual search, possibly due to a re-shaping and narrowing of the target template. These are both ground-breaking discoveries that have not been described before. Work on this project promises to lead to important theoretical breakthroughs, resolve current discrepancies in the literature and advance methods of Cognitive Psychology and Neuroscience.Read moreRead less
Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predi ....Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.Read moreRead less
Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising ap ....Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising approach, but its accuracy is far from satisfactory. The software systems developed in this project will be used in structural identification of target proteins in drug design. This will make drug design process more efficient, saving time and cost, potentially saving lives.Read moreRead less