Discovery Early Career Researcher Award - Grant ID: DE120102028
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Integrated gas photonics. Many physical scientists believe that the next technological revolution in society will arise from exploitation of the unique features of the quantum world. The project will develop new technology at the boundary between photonics and atomic physics aimed at addressing fundamental challenges in quantum information and sensing.
Foundation technology for quantum measurement, sensing and computing. This project will advance quantum control of cold ions, atoms and diamond colour centres for application of quantum science to high-tech problems, from ion-based quantum computing to diamond-based quantum imaging inside living cells.
Optical technology for quantum science. This project aims to develop and commercialise optical cavity and frequency stabilisation technology to generate laser light at new and precise wavelengths. Australia plays a leading role internationally in quantum science, a burgeoning area of research where fundamental quantum mechanical principles underpin exciting new technological applications, such as ion-based quantum computing, ultracold atom sensing for geo-exploration and defence, and nanoscale i ....Optical technology for quantum science. This project aims to develop and commercialise optical cavity and frequency stabilisation technology to generate laser light at new and precise wavelengths. Australia plays a leading role internationally in quantum science, a burgeoning area of research where fundamental quantum mechanical principles underpin exciting new technological applications, such as ion-based quantum computing, ultracold atom sensing for geo-exploration and defence, and nanoscale imaging inside living human cells. This project aims to continue and develop this role.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE140100131
Funder
Australian Research Council
Funding Amount
$500,000.00
Summary
National Facility for Cryogenic Photonics. National facility for cryogenic photonics: The project will establish a multi-disciplinary, multi-user facility for the development and analysis of photonic materials and devices at cryogenic temperatures, heralding a new paradigm in quantum optical research in Australia. The two nodes, one for photonic materials development and one for quantum device characterisation, will enable new physical phenomena to be discovered, new materials to be developed an ....National Facility for Cryogenic Photonics. National facility for cryogenic photonics: The project will establish a multi-disciplinary, multi-user facility for the development and analysis of photonic materials and devices at cryogenic temperatures, heralding a new paradigm in quantum optical research in Australia. The two nodes, one for photonic materials development and one for quantum device characterisation, will enable new physical phenomena to be discovered, new materials to be developed and will ultimately result in the creation of ground-breaking new photonic technologies. This collaborative facility will play a role in the quantum revolution, hailed as the next major step in societal evolution, providing breakthroughs in modern technology and placing Australia at the forefront of this field.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100752
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Fully-integrated fibre-based platform for a quantum information network. This project aims to combine Australia’s pioneering work developing specialised atom-filled optical fibres with world-leading quantum information storage protocols to probe the extreme limits of atom-light interactions. This will enable the creation of a compact, robust and modular node to efficiently store and process packets of optical quantum information. The node will integrate directly with current communications infra ....Fully-integrated fibre-based platform for a quantum information network. This project aims to combine Australia’s pioneering work developing specialised atom-filled optical fibres with world-leading quantum information storage protocols to probe the extreme limits of atom-light interactions. This will enable the creation of a compact, robust and modular node to efficiently store and process packets of optical quantum information. The node will integrate directly with current communications infrastructure, enabling the creation of a quantum Internet - the vital missing ingredient needed to overcome experimental hurdles that limit quantum technologies. This project is expected to enable the rapid uptake of quantum technology, boosting Australia’s capacity in this burgeoning field.Read moreRead less
Advanced Sweep-Line State Space Reduction Methods for Verification of Concurrent and Distributed Systems. The rigorous design and analysis of distributed systems, such as the Internet and its applications, is known to be a difficult problem. This project will develop new techniques for reducing the memory and time required for computer-aided verification of concurrent and distributed systems. The technique will be combined with other reduction techniques to increase their range of applicability. ....Advanced Sweep-Line State Space Reduction Methods for Verification of Concurrent and Distributed Systems. The rigorous design and analysis of distributed systems, such as the Internet and its applications, is known to be a difficult problem. This project will develop new techniques for reducing the memory and time required for computer-aided verification of concurrent and distributed systems. The technique will be combined with other reduction techniques to increase their range of applicability. The reduction techniques will be implemented and evaluated using important transaction protocols for electronic commerce and internet enabled wireless communications. The technique will also be applied to so called 'object-oriented' modelling languages.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100967
Funder
Australian Research Council
Funding Amount
$366,000.00
Summary
Open-world computer vision by detecting and tracking hierarchical objects. This project examines the problem of detecting and tracking objects using computer vision. A fundamental limitation of current algorithms is that they require labelled training data for every object class and therefore cannot be trusted to operate in unconstrained environments. This project aims to address this limitation using novel techniques that incorporate hierarchical relationships between object classes. Expected o ....Open-world computer vision by detecting and tracking hierarchical objects. This project examines the problem of detecting and tracking objects using computer vision. A fundamental limitation of current algorithms is that they require labelled training data for every object class and therefore cannot be trusted to operate in unconstrained environments. This project aims to address this limitation using novel techniques that incorporate hierarchical relationships between object classes. Expected outcomes include new paradigms for algorithm design and evaluation, and establishing the problem as a focus of international research. The key practical benefit would be to accelerate the wider deployment of visual perception in applications such as autonomous vehicles, interactive robotics, and video analysis.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100265
Funder
Australian Research Council
Funding Amount
$417,000.00
Summary
A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and ....A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and interpretability in decision making. Expected outcomes will benefit national cybersecurity by improving our understanding of vulnerabilities and threats involving decision actions, and by ensuring that human feedback and evaluations can help prevent catastrophic events in explorations of dynamic and complex environments.Read moreRead less
Remote presence for guidance on physical tasks. This project aims to transform remote collaboration on physical tasks. Current systems for remote collaboration on physical tasks are not as effective as working face-to-face. This could be overcome by sharing non-verbal cues, designing systems to account for cultural issues, and using a new model of communication. This project will develop theories and interaction methods for remote guidance based on natural non-verbal communication cues and cultu ....Remote presence for guidance on physical tasks. This project aims to transform remote collaboration on physical tasks. Current systems for remote collaboration on physical tasks are not as effective as working face-to-face. This could be overcome by sharing non-verbal cues, designing systems to account for cultural issues, and using a new model of communication. This project will develop theories and interaction methods for remote guidance based on natural non-verbal communication cues and cultural issues. This project is expected to benefit industries with widely distributed multi-cultural workforces such as mining, defence and medicine.Read moreRead less
Improved image analysis: maximised statistical use of geometry/shape constraints. This project will improve image analysis to apply such applications as 3D street-scape reconstruction, synthetic inserts into video for special effects, autonomous navigation, and scene understanding. It will do so by maximally exploiting the geometry of planar surfaces (e.g. walls) and straight lines and other simple geometric shapes.