Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100121
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Three-dimensional super-resolution nanophotonic fabrication facility. This stimulated emission depletion microscopy nanophotonic fabrication facility will be the first nanophotonic fabrication facility that is able to achieve optical resolution far beyond the diffraction limit, which will facilitate breakthroughs in cutting-edge nanotechnology research areas.
Biofocussed Prostate Cancer RadioTherapy (BiRT): A Personalised Approach To Delivering The Right Dose To The Right Place
Funder
National Health and Medical Research Council
Funding Amount
$753,565.00
Summary
We propose a new approach to treating prostate cancer with radiotherapy to move from the standard whole prostate treatment to a personalised treatment that varies radiation intensity throughout the prostate. We will mathematically combine features that influence radiotherapy effect from advanced imaging, clinical and biopsy information. This model will map out the radiotherapy dose required at each part of the prostate, to maximise killing of the cancer whilst minimising harm to normal tissue
Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the ....Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the early detection and warning of cyberbullying and approach open a new way to discover interaction patterns with a large number of participants over evolving and complex social networks.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100003
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
3D Nanofabrication and Nanocharacterisation facility. This project aims to establish a revolutionary nanoscale fabrication and characterisation facility in Australia. The facility is an angle-based nanoscale etching system with integrated chemical analysis capabilities and will be the first instrument of its kind in Australia. The facility will enable unprecedented fabrication and characterisation of 3D nanostructures and new device geometries from semiconductors, oxides and metals that underpin ....3D Nanofabrication and Nanocharacterisation facility. This project aims to establish a revolutionary nanoscale fabrication and characterisation facility in Australia. The facility is an angle-based nanoscale etching system with integrated chemical analysis capabilities and will be the first instrument of its kind in Australia. The facility will enable unprecedented fabrication and characterisation of 3D nanostructures and new device geometries from semiconductors, oxides and metals that underpin modern nanoelectronics for innovative energy, nano-optical and quantum device applications. This unique equipment will facilitate breakthrough discoveries in nanomaterials, and foster collaborations amongst Australian researchers to accelerate industry in advanced nanodevice technologies.Read moreRead less
A theoretical framework for practical partial fingerprint identification. Fingerprints captured from a crime scene are often partial and poor quality which makes it difficult to identify the criminal suspects from large databases. This project will find mathematical models which can estimate the missing information located in the blank areas of a partial fingerprint and effectively identify it.
Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored ....Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored to individual characteristics. The success of this project could significantly advance the fundamental research in image analysis. Expected outcomes include new knowledge and algorithms for image analysis, which could benefit fields like biology and archaeology, where labeled images are hard to attain and scarce.Read moreRead less
Integrated Planning for Uncertainty-Centric Pilot Assistance Systems. This project aims to deliver a novel pilot assistance system to improve the viability, speed and safety of Helicopter Emergency Medical Services (HEMS) and Search and Rescue (SAR) missions. It will advance fundamental algorithms for probabilistic planning in partially observable scenarios to form the core technology of a pilot assistance system that accounts the various types of uncertainty faced by pilots in a typical HEMS/S ....Integrated Planning for Uncertainty-Centric Pilot Assistance Systems. This project aims to deliver a novel pilot assistance system to improve the viability, speed and safety of Helicopter Emergency Medical Services (HEMS) and Search and Rescue (SAR) missions. It will advance fundamental algorithms for probabilistic planning in partially observable scenarios to form the core technology of a pilot assistance system that accounts the various types of uncertainty faced by pilots in a typical HEMS/SAR missions. It will exploit recent advances in Partially Observable Markov Decision Processes (POMDPs) to recommend robust, safe, and pilot-aware mission and manoeuvring strategies to make HEMS/SAR operations safer for helicopter crews, and more effective for those in need of the service.Read moreRead less
Robust AI Planning for Hybrid Systems. Automated planning, a core area of Artificial Intelligence, can effectively deal with the automatic synthesis of optimised action strategies for discrete system models. Extending the reach of planning to hybrid discrete/continuous systems, under exogenous uncertainty, is a widely open problem which this project will address. This will enable the proactive, and therefore more effective, management of microgrids and other cyber-physical systems, based on fore ....Robust AI Planning for Hybrid Systems. Automated planning, a core area of Artificial Intelligence, can effectively deal with the automatic synthesis of optimised action strategies for discrete system models. Extending the reach of planning to hybrid discrete/continuous systems, under exogenous uncertainty, is a widely open problem which this project will address. This will enable the proactive, and therefore more effective, management of microgrids and other cyber-physical systems, based on forecast information.Read moreRead less
Porous transparent conducting oxides for efficient solar fuel production. This project aims to develop highly porous, transparent and electrically conducting networks of oxide nanoparticles for artificial photosynthesis applications. The majority of hydrogen is currently produced via natural gas reforming, a process that generates a significant carbon footprint due to the use of fossil fuels. This project will develop novel materials and fabrication methods to improve the efficiency of hydrogen ....Porous transparent conducting oxides for efficient solar fuel production. This project aims to develop highly porous, transparent and electrically conducting networks of oxide nanoparticles for artificial photosynthesis applications. The majority of hydrogen is currently produced via natural gas reforming, a process that generates a significant carbon footprint due to the use of fossil fuels. This project will develop novel materials and fabrication methods to improve the efficiency of hydrogen production using clean and renewable solar energy. This project will contribute to development of technologies for the chemical storage of renewable energy, and reduction of carbon dioxide emissions. This will have applications in the areas of optoelectronic devices, medical biosensors, and photocatalysis, offering downstream benefits for the society, the economy and the environment.Read moreRead less