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
Real-time Event Detection, Prediction, and Visualization for Emergency Response. This project proposes novel end-to-end methods for real-time recognition and prediction of real-world events, leading to timely response to emergencies such as disease outbreaks and natural disasters, as well as prevention of crime, security breaches and the like. It will develop new techniques to quickly detect and predict events by incorporating adaptive learning and probabilistic models, and address fusion and sc ....Real-time Event Detection, Prediction, and Visualization for Emergency Response. This project proposes novel end-to-end methods for real-time recognition and prediction of real-world events, leading to timely response to emergencies such as disease outbreaks and natural disasters, as well as prevention of crime, security breaches and the like. It will develop new techniques to quickly detect and predict events by incorporating adaptive learning and probabilistic models, and address fusion and scalability factors to handle vast collections of heterogeneous data. An event surveillance system prototype will be developed to incorporate the findings of the research with tools to visualise and describe events.Read moreRead less
Realising the value of mobile videos with context awareness. Innovative approaches to analysing online video content and context will lead to new ways of interacting with video in the mobile world. This project will aim to develop real-time mobile systems for enabling rich and highly dynamic digital video experiences through context-aware indexing, retrieval and consumption of mobile videos.
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
Organic-inorganic hybrid electronic devices and logic circuits. This project will create the next generation of opto-electronic devices and logic circuits using solution-based organic-inorganic hybrid materials with the potential to be extremely cheap, recyclable, and mechanically flexible. This project aims to position Australia as a leader in printed electronics.
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
Electronic functionality in nanoscale materials: from discovery to design. This project will develop innovative multifunctional carbon/boron-nitride nanomaterials by devising new strategies to manipulate their electronic functionality. Outcomes will include technological breakthroughs leading to smart materials for energy storage, greenhouse gas emission reduction and nanoelectronics.
Simulating quantum states of matter: connecting theory to applications in science and technology. Quantum phenomena are ubiquitous and critical to the functioning of many modern technological devices, for example sensors and computer chips used in mobile phones. Although great strides have been made in recent decades in describing quantum phenomena theoretically, computational modelling is an essential ingredient to describe real experiments and devices. This project aims to develop the next gen ....Simulating quantum states of matter: connecting theory to applications in science and technology. Quantum phenomena are ubiquitous and critical to the functioning of many modern technological devices, for example sensors and computer chips used in mobile phones. Although great strides have been made in recent decades in describing quantum phenomena theoretically, computational modelling is an essential ingredient to describe real experiments and devices. This project aims to develop the next generation of computational tools aimed at two major themes: characterising topological states of matter, and modelling non-equilibrium phenomena. These tools will be invaluable for the design and modelling of quantum devices and novel materials and will enable the development of the next generation of technological devices.Read moreRead less
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
Informing economic policies to enhance an efficient and sustainable use of water resources in a context of high uncertainty on future climate. The main purpose of this project is to assess how economic instruments can be used to improve water resources management in a context of uncertainty and climate change.