Optimising the spring in your step to enhance footwear design. This project aims to examine how the nervous system adjusts the mechanical function of our feet across a spectrum of speeds, from slow running through to maximal effort sprinting. The proposed research will explore how the nervous system controls the function of the foot to meet the ever-varying demands of locomotion in the real-world. Expected outcomes of this project are to determine if running shoes help or hinder the natural spri ....Optimising the spring in your step to enhance footwear design. This project aims to examine how the nervous system adjusts the mechanical function of our feet across a spectrum of speeds, from slow running through to maximal effort sprinting. The proposed research will explore how the nervous system controls the function of the foot to meet the ever-varying demands of locomotion in the real-world. Expected outcomes of this project are to determine if running shoes help or hinder the natural spring-like function of the foot. It will explain a conceptually novel design allowing shoes to support our feet, whilst harnessing the energetic benefits of the foot's spring-like function. This research has the potential to revolutionise athletic footwear design and has direct implications for enhanced performance in running athletes.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220101249
Funder
Australian Research Council
Funding Amount
$468,582.00
Summary
Fusing wearables and advanced computational models for real world analysis. This project aims to solve a major technological problem: our inability to study human skeletal, muscular, and neural function in the real world. This project expects to, for the first time globally, integrate wearable sensors with neuromusculoskeletal computational models and artificial intelligence, and validate this technology. Expected project outcomes include an integrated system for future commercialisation and new ....Fusing wearables and advanced computational models for real world analysis. This project aims to solve a major technological problem: our inability to study human skeletal, muscular, and neural function in the real world. This project expects to, for the first time globally, integrate wearable sensors with neuromusculoskeletal computational models and artificial intelligence, and validate this technology. Expected project outcomes include an integrated system for future commercialisation and new understanding of how whole-body behavioural choices affect tissue mechanics during daily and sporting activities. Project outcomes should provide significant benefits, such as the ability to escape the laboratory to understand human performance for defence, sport, industrial, and health settings.Read moreRead less
Unraveling the geology of Mars. This project aims to use a suite of innovative conceptual and technical tools that target specific weaknesses in existing Mars exploration programs – where comparatively modest investment could deliver transformative change in one of the largest global research efforts, on which current expenditure is in billions of dollars. The project expects to provide context for the geologic processes that affected Mars. Expected outcomes include a better understanding of the ....Unraveling the geology of Mars. This project aims to use a suite of innovative conceptual and technical tools that target specific weaknesses in existing Mars exploration programs – where comparatively modest investment could deliver transformative change in one of the largest global research efforts, on which current expenditure is in billions of dollars. The project expects to provide context for the geologic processes that affected Mars. Expected outcomes include a better understanding of the habitability and geological history of Mars as well as facilitating both future mission landing site selection and providing context for comparison to the early history of Earth.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100067
Funder
Australian Research Council
Funding Amount
$390,000.00
Summary
The Vevo 2100 Micro-ultrasound plus LAZR Photoacoustic Imaging Platform . The Vevo 2100 micro-ultrasound plus LAZR photoacoustic imaging platform: The Vevo/LAZR ultrasound/photoacoustic imaging facility will allow researchers to achieve multiple outcomes: to visualise and quantify, non-invasively, tissue and molecular structures; the movement and behaviour of cells; and the delivery patterns of administered imaging dyes and nanoparticles in mouse models and reconstructed tissues. This will enabl ....The Vevo 2100 Micro-ultrasound plus LAZR Photoacoustic Imaging Platform . The Vevo 2100 micro-ultrasound plus LAZR photoacoustic imaging platform: The Vevo/LAZR ultrasound/photoacoustic imaging facility will allow researchers to achieve multiple outcomes: to visualise and quantify, non-invasively, tissue and molecular structures; the movement and behaviour of cells; and the delivery patterns of administered imaging dyes and nanoparticles in mouse models and reconstructed tissues. This will enable researchers to obtain anatomical, functional, physiological and molecular data simultaneously and in real-time, with resolution down to 40 micrometres. This will translate into both user efficiency and laboratory cost effectiveness, but more significantly is expected to result in greater understanding of fundamental mechanisms regulating the body's cell and tissue functions.Read moreRead less
Human-Machine Teaming:Designing synergistic learning of humans and machines. This proposal investigates the design of systems in which humans and machines use their different abilities to learn together for mutual benefit. Machine learning has been commoditised, applied in areas such as medical image reading and autonomous vehicles, however it typically operates separately from humans, supplanting human skills and leading to deskilling. Using human-computer interaction research techniques, co-de ....Human-Machine Teaming:Designing synergistic learning of humans and machines. This proposal investigates the design of systems in which humans and machines use their different abilities to learn together for mutual benefit. Machine learning has been commoditised, applied in areas such as medical image reading and autonomous vehicles, however it typically operates separately from humans, supplanting human skills and leading to deskilling. Using human-computer interaction research techniques, co-design and iterative prototyping in the domains of radiology training and environmental learning, we will devise and evaluate exemplar systems that support humans to interactively frame problems, explore and learn, while utilising and improving machine models, leading to a guiding framework for designing human-machine teaming.Read moreRead less
Uncovering the Chronology of Mars. This project aims to answer fundamental questions about the origin and evolution of the solar system by utilizing innovative machine learning techniques developed by our group. Starting with Mars, we will interrogate the highest resolution image data to automatically generate the ultimate resolution global age map. The expected outcomes of this project include determining the absolute ages of geologic processes on Mars to deliver a groundbreaking look at the ge ....Uncovering the Chronology of Mars. This project aims to answer fundamental questions about the origin and evolution of the solar system by utilizing innovative machine learning techniques developed by our group. Starting with Mars, we will interrogate the highest resolution image data to automatically generate the ultimate resolution global age map. The expected outcomes of this project include determining the absolute ages of geologic processes on Mars to deliver a groundbreaking look at the geology of another planet at the centimeter scale. A major benefit of this project will be enhancing Australia’s role as a leader in space and planetary science through this interdisciplinary, international collaboration across engineering, geology, computing, and chronology.Read moreRead less
Decoding the chronology of Mars. This project aims to determine a detailed and accurate geologic timescale for Mars, using image processing, high performance computing, geochemistry and geochronology. Mars is the nearest possibly habitable planet to our own. The project will apply automated feature recognition techniques to high resolution space-craft derived images of the surface of Mars and study formation ages of Martian meteorites. The goal is an absolute chronology for Mars. This contribute ....Decoding the chronology of Mars. This project aims to determine a detailed and accurate geologic timescale for Mars, using image processing, high performance computing, geochemistry and geochronology. Mars is the nearest possibly habitable planet to our own. The project will apply automated feature recognition techniques to high resolution space-craft derived images of the surface of Mars and study formation ages of Martian meteorites. The goal is an absolute chronology for Mars. This contributes to a better understanding of the geologic and habitability history of Mars, facilitating both future mission landing site selection and providing context for comparison to the early history of Earth.Read moreRead less
Atomistic anatomy of a nano transistor. The high-speed and low-power requirements of state-of-the-art transistors are met by material control that has reached an unprecedented level. The material in a nano-device has drastically different characteristics than in the bulk. To achieve this, the industry needs to implement strain, ultra sharp junctions, and well controlled potential profiles all on the nanometre scale. This project aims to develop a technique to directly measure these properties in ....Atomistic anatomy of a nano transistor. The high-speed and low-power requirements of state-of-the-art transistors are met by material control that has reached an unprecedented level. The material in a nano-device has drastically different characteristics than in the bulk. To achieve this, the industry needs to implement strain, ultra sharp junctions, and well controlled potential profiles all on the nanometre scale. This project aims to develop a technique to directly measure these properties in an actual device. Electrical and optical atom tomography will make it possible to map device parameters on the atomic scale. This atomistic anatomy has the potential to revolutionise the development of nanoscale devices and grow into a tool for a multi-billion dollar industry.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC210100047
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Training Centre for Accelerated Future Crop Development . The Centre will create a new generation of leaders in the implementation of advanced gene and field technologies for the benefit of the Australian agriculture industry. We will build the workforce and foundations that will drive translation of breakthroughs in advanced breeding, phenotyping and genetic technologies into higher-yielding crops. This will increase productivity across the sector and create new markets. Our technical trai ....ARC Training Centre for Accelerated Future Crop Development . The Centre will create a new generation of leaders in the implementation of advanced gene and field technologies for the benefit of the Australian agriculture industry. We will build the workforce and foundations that will drive translation of breakthroughs in advanced breeding, phenotyping and genetic technologies into higher-yielding crops. This will increase productivity across the sector and create new markets. Our technical training programs for graduates, trainees and industry will interface with best evidence-based practices in the wider socio-economic, regulatory and environmental contexts. Coupled with community and stakeholder engagement, the Centre will redefine and secure Australia’s future in agriculture. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100151
Funder
Australian Research Council
Funding Amount
$760,000.00
Summary
Probe and engineer interactions in atomic-scale devices with a LT STM. A low-temperature scanning tunnelling microscope: The project aims to establish a facility to exploit the spectroscopic and spatial resolution of an ultra-low temperature scanning tunnelling microscope in conjunction with atomically controlled dopant engineering. In a variety of experiments the research team will explore ultra-scaled transistors, quantum information science devices, and engineered quantum matter. Improving ou ....Probe and engineer interactions in atomic-scale devices with a LT STM. A low-temperature scanning tunnelling microscope: The project aims to establish a facility to exploit the spectroscopic and spatial resolution of an ultra-low temperature scanning tunnelling microscope in conjunction with atomically controlled dopant engineering. In a variety of experiments the research team will explore ultra-scaled transistors, quantum information science devices, and engineered quantum matter. Improving our ability to investigate semiconductor materials at the atomic scale impacts fields ranging from electronics, telecommunication, quantum information to renewable energy research and puts Australia at the forefront of the field of controlled atomic systems in semiconductors.Read moreRead less