Special Research Initiatives - Grant ID: SR0567196
Funder
Australian Research Council
Funding Amount
$55,000.00
Summary
Improved early detection of breast cancer enabled by grid-computing and advanced modelling and visualisation of MR images. This project will investigate the utility of grid computing in the detection of breast cancer from magnetic resonance (MR) images. The large quantity of data acquired using MR imaging is difficult for clinicians to review and the cost of missed or incorrect detection is high. To provide rapid visualisation and assessment of the acquired data, grid computing will be used in c ....Improved early detection of breast cancer enabled by grid-computing and advanced modelling and visualisation of MR images. This project will investigate the utility of grid computing in the detection of breast cancer from magnetic resonance (MR) images. The large quantity of data acquired using MR imaging is difficult for clinicians to review and the cost of missed or incorrect detection is high. To provide rapid visualisation and assessment of the acquired data, grid computing will be used in conjunction with interactive visualisation with haptic feedback. Grid computing experience and haptic device expertise will be achieved via Swedish collaborators. The successful outcome of this project will be software for the production of 3D colour-coded breast images in which suspicious regions are highlighted and can be physically interrogated using the haptic device.Read moreRead less
Filters reveal what flicker conceals: temporal processing in the human visual system. I have recently discovered a new form of camouflage using 10Hz luminance flicker. This project will quantify this effect and examine the extent to which it generalises across colour and spatial dimensions and to video sequences depicting natural scenes. This information is expected to provide foundational information to technologies relating to national security that rely on visual concealment. This research wi ....Filters reveal what flicker conceals: temporal processing in the human visual system. I have recently discovered a new form of camouflage using 10Hz luminance flicker. This project will quantify this effect and examine the extent to which it generalises across colour and spatial dimensions and to video sequences depicting natural scenes. This information is expected to provide foundational information to technologies relating to national security that rely on visual concealment. This research will examine the extent to which filtering out these camouflaging frequencies enhances our sensitivity to low temporal frequency information. This decamouflaging aspect of my research is expected to improve the clarity of digital video-based technologies including ultrasound, educational, info-tainment and defence applicationsRead moreRead less
A Layered Controlled Natural Language for Knowledge Representation. In this research project we will develop a controlled natural language for knowledge representation that has the potential to bridge the gap between fragments of natural language and formal languages. This controlled language will be based on a variety of increasing sophisticated layers, each building upon those below it by providing enhancements in expressive power. Sentences of the controlled language will be unambiguously tra ....A Layered Controlled Natural Language for Knowledge Representation. In this research project we will develop a controlled natural language for knowledge representation that has the potential to bridge the gap between fragments of natural language and formal languages. This controlled language will be based on a variety of increasing sophisticated layers, each building upon those below it by providing enhancements in expressive power. Sentences of the controlled language will be unambiguously translatable into a corresponding formal language. Anyone who can read and write English can immediately use the controlled language with the help an intelligent text editor. This technology will make it possible for non-specialists to write problem specifications in terms of the application domain without the need to formally encode the information.Read moreRead less
A clinically valid simulator with tactile sensing to train specialists to perform cochlea implantation. This project aims to create a medical simulation system with tactile sensing for cochlear implant operations. The developed system will provide an opportunity to study cochlear implantation process and examine its effect in a patient before it is carried out. It will be also used to train ENT (Ear, Nose and Throat) specialists in cochlear implantation, thus replacing the current costly and no ....A clinically valid simulator with tactile sensing to train specialists to perform cochlea implantation. This project aims to create a medical simulation system with tactile sensing for cochlear implant operations. The developed system will provide an opportunity to study cochlear implantation process and examine its effect in a patient before it is carried out. It will be also used to train ENT (Ear, Nose and Throat) specialists in cochlear implantation, thus replacing the current costly and non-effective method of using temporal bones.Read moreRead less
Topological Approaches for Three Dimensional Graph Drawing. Human analysis of huge quantities of relational data in biotechnology, web engineering, social networks, and computer networks requires visualization. In recent years, three-dimensional visualisation has promised to give new insights into such abstract data. However the past ten years of visualization research has had very little impact on the industry; visualization software providers have not adopted visualization methods developed b ....Topological Approaches for Three Dimensional Graph Drawing. Human analysis of huge quantities of relational data in biotechnology, web engineering, social networks, and computer networks requires visualization. In recent years, three-dimensional visualisation has promised to give new insights into such abstract data. However the past ten years of visualization research has had very little impact on the industry; visualization software providers have not adopted visualization methods developed by academics. We hypothesise that current 3D relational visualization methods fail because they do not pay attention to the human perception of topology. In this project we will leverage mathematical topology to construct new methods for the 3D visualization of relational data.
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Cybersecurity ethics training simulations for values-based decision-making. This Project will investigate ways to train reflective ethical decision making in cybersecurity management through the design of interactive social simulations. The Project will advance understanding and management of human factors in cybersecurity breaches and the field of serious game design for cybersecurity training by using new techniques for building artificially intelligent virtual agents, drawing on interdiscipli ....Cybersecurity ethics training simulations for values-based decision-making. This Project will investigate ways to train reflective ethical decision making in cybersecurity management through the design of interactive social simulations. The Project will advance understanding and management of human factors in cybersecurity breaches and the field of serious game design for cybersecurity training by using new techniques for building artificially intelligent virtual agents, drawing on interdisciplinary expertise in ethics, artificial intelligence and serious game design. Expected outcomes of the Project include a new framework and technologies for cybersecurity training. This should provide significant benefits through deeper understanding of the ethical impact of new cybertechnologies and training solutions.Read moreRead less
New Methods for Interactive Visualization of Large Microarray Data Sets. This project will investigate methods for visualising graphs produced by AI-based analysis of real-world biological data. These new visualisation methods will assist biologists to develop new DNA Microarray experiments, the source of raw data for visualisation. Data from new enhanced experiments, plus background knowledge from integrated public databases will produce richer data for visualisation, thus creating a positive f ....New Methods for Interactive Visualization of Large Microarray Data Sets. This project will investigate methods for visualising graphs produced by AI-based analysis of real-world biological data. These new visualisation methods will assist biologists to develop new DNA Microarray experiments, the source of raw data for visualisation. Data from new enhanced experiments, plus background knowledge from integrated public databases will produce richer data for visualisation, thus creating a positive feedback loop in the course of research into both topics.Read moreRead less
Risk Management using Agent-Based Virtual Environments. Since September 11, terrorism and its prevention has been high on the agenda of modern governments. On reflection, there were many signs that could have alerted US government officials to what was about to transpire and saved many lives. But much of the knowledge needed to detect and handle such situations can not be learnt from a book. Many things we need to experience in order to learn. This project combines the investigators' expertise i ....Risk Management using Agent-Based Virtual Environments. Since September 11, terrorism and its prevention has been high on the agenda of modern governments. On reflection, there were many signs that could have alerted US government officials to what was about to transpire and saved many lives. But much of the knowledge needed to detect and handle such situations can not be learnt from a book. Many things we need to experience in order to learn. This project combines the investigators' expertise in knowledge based, agent based and natural language fields to produce an interactive virtual environment for the user to engage with.Read moreRead less
Operator Decision Modelling in Autonomous Systems. The incorporation of humans as decision-makers into a complex system comprising of many autonomous agents is becoming increasingly important in areas such as defence, search-and-rescue, special emergency services, bush-fire and ecology management. This project will address how human decisions are made in such systems through the formulation and demonstration of innovative algorithms which model the operator decision making process. Generating so ....Operator Decision Modelling in Autonomous Systems. The incorporation of humans as decision-makers into a complex system comprising of many autonomous agents is becoming increasingly important in areas such as defence, search-and-rescue, special emergency services, bush-fire and ecology management. This project will address how human decisions are made in such systems through the formulation and demonstration of innovative algorithms which model the operator decision making process. Generating solutions to this increasingly important area will provide Australia's industry and community services the necessary knowledge for deploying such systems and thus improving service effectiveness, as well as the implementation of autonomous systems into new areas and thus increasing economic growth.Read moreRead less
AI-Human Empowered Team Decision-Making. This project aims to introduce machine intelligence into human team decision-making using the brain-to-brain synchrony that arises when people cooperate toward achieving a goal. The expected outcomes are models and indicators of this synchrony, and methods to fuse individual human decisions with autonomous machine agents, into collective decisions. This new knowledge is expected to greatly increase our understanding of cooperative decision-making by human ....AI-Human Empowered Team Decision-Making. This project aims to introduce machine intelligence into human team decision-making using the brain-to-brain synchrony that arises when people cooperate toward achieving a goal. The expected outcomes are models and indicators of this synchrony, and methods to fuse individual human decisions with autonomous machine agents, into collective decisions. This new knowledge is expected to greatly increase our understanding of cooperative decision-making by humans and machine agents. The tools produced are expected to provide a computational basis for human-autonomy teaming, the core of Industry 5.0, that software developers and end-users in various industries could further build upon to optimise complex decision-making to benefit humanity.Read moreRead less