Transforming museum industry to cryopreserve Australia’s diverse wildlife. This project aspires to develop methods for collecting, culturing and cryopreserving cells from wildlife in line with museum industry practice. The project expects to generate new knowledge about the collection of live cells from animals under field conditions and their long-term maintenance in museum collections. Expected outcomes of the project include enhanced capacity of museums to build live cell collections and to s ....Transforming museum industry to cryopreserve Australia’s diverse wildlife. This project aspires to develop methods for collecting, culturing and cryopreserving cells from wildlife in line with museum industry practice. The project expects to generate new knowledge about the collection of live cells from animals under field conditions and their long-term maintenance in museum collections. Expected outcomes of the project include enhanced capacity of museums to build live cell collections and to support and collaborate with cellular biologists. Growth of live cell collections in Australian museums will fuel innovation in cellular technologies, advance fundamental biological knowledge, and shift museums from the role of documenting losses of genetic variation to preserving that genetic variation in living form.
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Understanding platinum dissolution in biomedical stimulating electrodes. Platinum is the main material used in electrodes for neurostimulators like the cochlear implant. Platinum electrodes can experience dissolution during implantation, which can impact on their function. The mechanisms governing this dissolution process are complex and still not fully understood. This research aims to understand the chemical, electrical and biological factors that impact on platinum dissolution in electrodes. ....Understanding platinum dissolution in biomedical stimulating electrodes. Platinum is the main material used in electrodes for neurostimulators like the cochlear implant. Platinum electrodes can experience dissolution during implantation, which can impact on their function. The mechanisms governing this dissolution process are complex and still not fully understood. This research aims to understand the chemical, electrical and biological factors that impact on platinum dissolution in electrodes. It will also develop new 3D models to simulate conditions in the human body for more rapid testing of electrodes. The new knowledge generated will improve the accuracy of predictions of platinum dissolution, develop new approaches for minimising dissolution, and contribute to reducing need for animal experimentation.Read moreRead less
Collaborative Sensing and Learning for Maritime Situational Awareness. We aim to demonstrate coordinated autonomous sensing of naval assets in dynamic maritime environments, reducing the operational load required to deliver a high quality maritime situational awareness. A realistic simulation based approach will help us develop novel artificial intelligence technology including: self-adaptive strategies for dynamic asset allocation, embedded smart sensing capabilities for naval observation syste ....Collaborative Sensing and Learning for Maritime Situational Awareness. We aim to demonstrate coordinated autonomous sensing of naval assets in dynamic maritime environments, reducing the operational load required to deliver a high quality maritime situational awareness. A realistic simulation based approach will help us develop novel artificial intelligence technology including: self-adaptive strategies for dynamic asset allocation, embedded smart sensing capabilities for naval observation systems and novel approaches to continuous collaborative learning from multi-spectral media. In addition to the emerging partnership between participants, the project will advance sovereign capability to develop maritime intelligence gathering technology for the Royal Australian Navy to underpin stability in our region. Read moreRead less
Understanding biological pathways underlying social behaviour in humans. This project aims to show for the first time how oxytocin interacts with neural social and reward pathways to guide social behaviour. Oxytocin is a natural neuropeptide and hormone that has a critical role in the regulation of social behaviour across mammalian species. In animals, direct evidence demonstrates how endogenous and exogenous oxytocin interacts with social and reward neural pathways to alter social behaviour, in ....Understanding biological pathways underlying social behaviour in humans. This project aims to show for the first time how oxytocin interacts with neural social and reward pathways to guide social behaviour. Oxytocin is a natural neuropeptide and hormone that has a critical role in the regulation of social behaviour across mammalian species. In animals, direct evidence demonstrates how endogenous and exogenous oxytocin interacts with social and reward neural pathways to alter social behaviour, including social recognition, relationship formation, and long-term bonds. The project intends to use radio-labelling techniques in combination with positron emission tomography to track oxytocin and show what regions of the brain oxytocin impacts to then influence social cognition and behaviour in humans.Read moreRead less
High Quality-of-Experience Real-time Video for Smart Online Shopping. This project aims to develop high quality-of-experience real-time video systems for smart shopping applications by devising new deep-neural-network-enhanced video delivery schemes. It will generate new knowledge of combined AI and network solutions to achieve high-quality and low-latency real-time video delivery, addressing unsatisfactory user experience intrinsically caused by network delay and bandwidth. Fundamental principl ....High Quality-of-Experience Real-time Video for Smart Online Shopping. This project aims to develop high quality-of-experience real-time video systems for smart shopping applications by devising new deep-neural-network-enhanced video delivery schemes. It will generate new knowledge of combined AI and network solutions to achieve high-quality and low-latency real-time video delivery, addressing unsatisfactory user experience intrinsically caused by network delay and bandwidth. Fundamental principles and an all-in-one platform will be developed to address research problems and the industrial partner’s practical problems. It will significantly benefit all shopping businesses and their customers in Australia, as well as all other video-related services (e.g., online education, video conferencing, etc.).Read moreRead less
Explainable machine learning for electrification of everything. The energy sector is the largest contributor to greenhouse gas emissions. "Electrification of Everything" combined with electricity generation from renewables is a key solution to decarbonise the energy and transport sectors. This project aims to develop an explainable machine learning based data-driven technology to accurately predict the impact of electrification on consumers energy consumption and cost. The expected outcome of th ....Explainable machine learning for electrification of everything. The energy sector is the largest contributor to greenhouse gas emissions. "Electrification of Everything" combined with electricity generation from renewables is a key solution to decarbonise the energy and transport sectors. This project aims to develop an explainable machine learning based data-driven technology to accurately predict the impact of electrification on consumers energy consumption and cost. The expected outcome of this project includes a data-informed decision support technology to help consumers choose the best electrification technologies and solutions. This should provide significant benefits, such as increasing community engagement with electrification, and thus reducing their carbon footprint.Read moreRead less
Machine learning techniques for fuel loss detection at service stations. This project aims to develop effective techniques to identify the sources of fuel losses, such as leaks and calibration errors in underground storage tanks at service stations. Monitoring fuel losses at service stations is influenced by many external factors which can be difficult to predict. The project expects to use machine learning to develop the techniques and test them with live data at service stations. The expected ....Machine learning techniques for fuel loss detection at service stations. This project aims to develop effective techniques to identify the sources of fuel losses, such as leaks and calibration errors in underground storage tanks at service stations. Monitoring fuel losses at service stations is influenced by many external factors which can be difficult to predict. The project expects to use machine learning to develop the techniques and test them with live data at service stations. The expected outcomes are a set of tailor-made machine learning techniques for effective fuel loss detection and a software suite that can be easily incorporated into the normal operation of service stations. This should reduce the costs to the petroleum industry from wasteful leaks and the environmental damage caused by these leaks. Read moreRead less
A humanised sensory neuron high-throughput screening platform . Sensory neurons are responsible for converting external stimuli such as touch or temperature into graded electrical signals that allow us to interact with the world around us. However, unlike other cell types, sensory neurons cannot proliferate and thus must be removed from human cadavers, or animals, in order to study their pharmacology and function. This limits our ability to understand neuronal signalling pathways. This project a ....A humanised sensory neuron high-throughput screening platform . Sensory neurons are responsible for converting external stimuli such as touch or temperature into graded electrical signals that allow us to interact with the world around us. However, unlike other cell types, sensory neurons cannot proliferate and thus must be removed from human cadavers, or animals, in order to study their pharmacology and function. This limits our ability to understand neuronal signalling pathways. This project aims to use sensory neurons derived from human stem cells to develop and optimise assays that can be used to study the pharmacology and function of human sensory neurons in vitro. This enhances access to critical model systems and technology platforms and removes the need for isolation of cells from cadavers. Read moreRead less
Towards in-vehicle situation awareness using visual and audio sensors. This project aims to characterise driver awareness, activity and interactions with other vehicle occupants using visual and audio cues from internally mounted sensors. Road accidents cost Australia an estimated $30 billion per year and tragic loss of thousands of lives, yet the vast majority of severe vehicle crashes are linked to driver fatigue or distraction. The expected project outcomes include advanced artificial intelli ....Towards in-vehicle situation awareness using visual and audio sensors. This project aims to characterise driver awareness, activity and interactions with other vehicle occupants using visual and audio cues from internally mounted sensors. Road accidents cost Australia an estimated $30 billion per year and tragic loss of thousands of lives, yet the vast majority of severe vehicle crashes are linked to driver fatigue or distraction. The expected project outcomes include advanced artificial intelligence to infer and predict dangerous driver and passenger behaviour. This has the potential to significantly benefit society by advancing autonomous driving capabilities and reducing driver-induced accidents and fatalities, ensuring that every driver, passenger and pedestrian arrives home safely at the end of each day.Read moreRead less
Developing macrophage-based technologies for tissue regeneration. Different tissues show distinct regenerative capacities with an organism and across the phylogeny. What underlies this diversity in regenerative ability at cellular and molecular level is far from clear. Building on foundational discoveries in zebrafish, this study seeks to determine if this capacity could, in part, be explained through the properties of a component of the innate immune system, the macrophage, which preliminary da ....Developing macrophage-based technologies for tissue regeneration. Different tissues show distinct regenerative capacities with an organism and across the phylogeny. What underlies this diversity in regenerative ability at cellular and molecular level is far from clear. Building on foundational discoveries in zebrafish, this study seeks to determine if this capacity could, in part, be explained through the properties of a component of the innate immune system, the macrophage, which preliminary data shows generates a transient pro-regenerative muscle stem cell niche in zebrafish. This study will determine if macrophage subtypes acts to coordinate regeneration in other tissues and systems and if a programable pro-regenerative cell can be made in vitro that stimulate regeneration in different settings.Read moreRead less