Decentralised Collaborative Predictive Analytics on Personal Smart Devices. This project tackles the challenging problem of personalised predictive analytics with resource-constrained personal devices and massive-scale data. The knowledge to be generated concerns privacy, fairness, and resource efficiency in the era of Internet of Things. The expected outcomes include a collaborative learning paradigm for building personalised models on personal smart devices in open and fully decentralised sett ....Decentralised Collaborative Predictive Analytics on Personal Smart Devices. This project tackles the challenging problem of personalised predictive analytics with resource-constrained personal devices and massive-scale data. The knowledge to be generated concerns privacy, fairness, and resource efficiency in the era of Internet of Things. The expected outcomes include a collaborative learning paradigm for building personalised models on personal smart devices in open and fully decentralised settings. Privacy and model fairness are core tenets of the paradigm. Personalised predictive analytics is frontier research that will position Australia at the forefront of AI and give business the tools needed to deploy innovative business systems for market exploitation with a secure, equitable and competitive advantage.Read moreRead less
The role of strong duality in computer vision. This project aims to undertake research in the fields of computer vision and optimization that will have a significant impact on the design of numerical algorithms for solving a wide range of problems in Computer Vision, Virtual Reality and Robotic Navigation. This project will advance understanding of a broad class of problems related to how computers interpret images. An expected outcome is the generation of novel mathematical theory and numerical ....The role of strong duality in computer vision. This project aims to undertake research in the fields of computer vision and optimization that will have a significant impact on the design of numerical algorithms for solving a wide range of problems in Computer Vision, Virtual Reality and Robotic Navigation. This project will advance understanding of a broad class of problems related to how computers interpret images. An expected outcome is the generation of novel mathematical theory and numerical algorithms capable of fundamentally changing the way problems relevant to a wide range of vision-related applications are solved. This should offer Australia a strong competitive advantage as a leader in scientific innovation in the areas of Computer Vision, Virtual Reality and Robotics and Autonomous Systems.Read moreRead less
A pictorial communication framework for inclusion. A picture can tell a thousand words; many people with an intellectual disability can only communicate with pictures and are otherwise isolated. This project will research how computers can understand and facilitate a rich pictorial communication between people and person to machine, thereby supporting inclusion. This will be achieved by inclusively co-designing with people with ID and members of the community: a) an audio-visual accessible searc ....A pictorial communication framework for inclusion. A picture can tell a thousand words; many people with an intellectual disability can only communicate with pictures and are otherwise isolated. This project will research how computers can understand and facilitate a rich pictorial communication between people and person to machine, thereby supporting inclusion. This will be achieved by inclusively co-designing with people with ID and members of the community: a) an audio-visual accessible search tool, b) a pictorial communication device, and c) a visual inclusive social network. These applications will inform future innovations for everyone, and allow citizens with ID to access online information, participate in community activities and be included in the workplace.Read moreRead less
Ultimately Trusted Security through Human-Powered Cryptography. Cryptography offers wonderful tools for unbreakable data security, but only between computer nodes, leaving their human owners helpless. Encrypted tunnels terminate not at humans but at mobile phones and personal computers, exposing users' secrets to spyware from search-engine keyloggers to full-bore malware planted by crooks, hackers, and foreign spy agencies. This project aims to create a simple and strong cryptography, so that hu ....Ultimately Trusted Security through Human-Powered Cryptography. Cryptography offers wonderful tools for unbreakable data security, but only between computer nodes, leaving their human owners helpless. Encrypted tunnels terminate not at humans but at mobile phones and personal computers, exposing users' secrets to spyware from search-engine keyloggers to full-bore malware planted by crooks, hackers, and foreign spy agencies. This project aims to create a simple and strong cryptography, so that humans can, for the first time, take front seat in real security protocols. The technical challenge is to build public-key ciphers, operable manually from a mental key in seconds, and from there remake human-powered versions of many useful information security protocols.Read moreRead less
Towards the prime power conjecture. This project attacks a famous and long standing conjecture in pure mathematics that has important ramifications in many applied areas. The project aims to determine when it is possible to produce more efficient codes for electronic communication and statistically balanced designs for experiments in areas as diverse as agriculture and psychology.
Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge. This project aims to develop an automatic graph learning system for complex graph data analysis. Machine learning for graph data commonly requires significant human knowledge from both domain professionals as well as algorithm experts, rendering existing systems ineffective and unexplainable. This project expects to design novel graph learning techniques which automatically infer graph relations, learn graph models, adapts ....Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge. This project aims to develop an automatic graph learning system for complex graph data analysis. Machine learning for graph data commonly requires significant human knowledge from both domain professionals as well as algorithm experts, rendering existing systems ineffective and unexplainable. This project expects to design novel graph learning techniques which automatically infer graph relations, learn graph models, adapts existing knowledge to new domains, and provide explanations to the graph learning system. The research results should provide benefit to governments and businesses in many critical applications, such as bioassay activity prediction, credit assessment, and drug discovery and vaccine development in response to the pandemic.Read moreRead less
Superhuman place recognition with a unified model of human visual processing and rodent spatial memory. Current robotic and personal navigation systems leave much to be desired; GPS only works in open outdoor areas, lasers are expensive and cameras are highly sensitive to changing environmental conditions. In contrast, nature has evolved superb navigation systems. This project aims to solve the challenging problem of place recognition, a key component of navigation, by modelling the visual recog ....Superhuman place recognition with a unified model of human visual processing and rodent spatial memory. Current robotic and personal navigation systems leave much to be desired; GPS only works in open outdoor areas, lasers are expensive and cameras are highly sensitive to changing environmental conditions. In contrast, nature has evolved superb navigation systems. This project aims to solve the challenging problem of place recognition, a key component of navigation, by modelling the visual recognition skills of humans and the rodent spatial memory system. This project looks to combine the best understood and most capable components of place recognition in nature to create a whole more capable than its parts, produce advances in robotic and personal navigation technology and lead to breakthroughs in understandings of the brain.Read moreRead less
Transforming information systems design and use in social welfare agencies. This project aims to examine how electronic information systems (IS) can be redesigned to improve social welfare service delivery and support direct social work practice with those most in need. Using a proven ethnographic research design, this project aims to generate new knowledge and theory in the field of social informatics that is relevant to agencies across the sector. Expected outcomes of this project are practiti ....Transforming information systems design and use in social welfare agencies. This project aims to examine how electronic information systems (IS) can be redesigned to improve social welfare service delivery and support direct social work practice with those most in need. Using a proven ethnographic research design, this project aims to generate new knowledge and theory in the field of social informatics that is relevant to agencies across the sector. Expected outcomes of this project are practitioner-led and theoretically informed designs of IS and innovative ways to use them. Transforming the design and use of IS will enhance information about service activity and the needs of service users, thereby providing important benefits to the most vulnerable members of society.Read moreRead less
Multi-modal virtual microscopy for quantitative diagnostic pathology. This project will contribute to the next generation of virtual microscopy systems that provide innovative features capable of significantly increasing the adoption of digital imaging technology throughout the field of diagnostic pathology. These tools will especially contribute to the screening and diagnosis of cervical, lung and bladder cancer.
Rethinking Topological Persistence. This project aims to address the lack of transferability and uncertainty-awareness in AI models. Despite their success, AI models are met with bias and uncertainty when deployed in the real world. As a result, they are rarely used in high-risk industries like cybersecurity or transport. This project expects to build uncertainty-awareness into models by teaching them to return UNKNOWN when they encounter a previously unseen thing, instead of misclassifying it. ....Rethinking Topological Persistence. This project aims to address the lack of transferability and uncertainty-awareness in AI models. Despite their success, AI models are met with bias and uncertainty when deployed in the real world. As a result, they are rarely used in high-risk industries like cybersecurity or transport. This project expects to build uncertainty-awareness into models by teaching them to return UNKNOWN when they encounter a previously unseen thing, instead of misclassifying it. Further, the evaluation methods to be developed will not rely on access to test data, allowing cost-effective, private, and safe AI for high-stakes decision support. The outcomes will benefit Australia by accelerating economic investment and fostering greater social acceptance of AI.Read moreRead less