Discovery Early Career Researcher Award - Grant ID: DE210100019
Funder
Australian Research Council
Funding Amount
$408,000.00
Summary
A Scalable and Adaptive-Resilient Blockchain. This project aims to address the security and scalability challenges that limit blockchain adoption. Existing blockchains do not scale and are vulnerable to attacks (e.g. with a total loss of over US$1 billion in 2019). This project expects to improve security by adaptively enforcing the currently broken security assumptions, and to improve scalability by designing blockchains with high concurrency via relaxed criteria on the ordering of transactions ....A Scalable and Adaptive-Resilient Blockchain. This project aims to address the security and scalability challenges that limit blockchain adoption. Existing blockchains do not scale and are vulnerable to attacks (e.g. with a total loss of over US$1 billion in 2019). This project expects to improve security by adaptively enforcing the currently broken security assumptions, and to improve scalability by designing blockchains with high concurrency via relaxed criteria on the ordering of transactions. The expected outcomes include foundations and practical solutions for self-adaptive, secure and scalable blockchains. The benefits of this would be improved confidence in and capacity for building blockchain applications, which have a predicted value of over US$3.1 trillion by 2030.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100016
Funder
Australian Research Council
Funding Amount
$351,798.00
Summary
Enabling Compatible and Secure Mobile Apps via Automated Program Repair. This project aims to ensure everyone in Australia and the world can reliably utilise compatible and secure mobile apps on their smart devices, by inventing a novel approach to automatically fix compatibility and security issues during app development and installation. The project expects to generate new knowledge, tools and methods to support efficient mobile app fix through mining the best practices from the mobile ecosyst ....Enabling Compatible and Secure Mobile Apps via Automated Program Repair. This project aims to ensure everyone in Australia and the world can reliably utilise compatible and secure mobile apps on their smart devices, by inventing a novel approach to automatically fix compatibility and security issues during app development and installation. The project expects to generate new knowledge, tools and methods to support efficient mobile app fix through mining the best practices from the mobile ecosystem. Expected outcomes include better support for app developers to build mobile apps that will maximise the potential of the mobile ecosystem for Australian businesses. This should provide significant benefits, such as enhanced productivity for the software industry and better mobile app experience and safety for users.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100672
Funder
Australian Research Council
Funding Amount
$470,337.00
Summary
Measuring real-time mental workload to improve our Defence capability. This project aims to develop a novel platform for measuring real-time variation in the cognitive workload of humans working with advanced Defence technologies. The project expects to combine innovative statistical techniques with cutting-edge psychological and neuroscience developments to measure and process workload-related brain activity in real-time. Expected outcomes of the project include an enhanced capacity to measure ....Measuring real-time mental workload to improve our Defence capability. This project aims to develop a novel platform for measuring real-time variation in the cognitive workload of humans working with advanced Defence technologies. The project expects to combine innovative statistical techniques with cutting-edge psychological and neuroscience developments to measure and process workload-related brain activity in real-time. Expected outcomes of the project include an enhanced capacity to measure and respond to cognitive workload in the field. This should provide significant benefits such as enhanced performance and safety outcomes, which will provide a strategic advantage to the Australian Defence Force by facilitating the development of advanced technologies that respond to the capabilities of the human user.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101382
Funder
Australian Research Council
Funding Amount
$425,775.00
Summary
Metastructures for Simultaneous Vibration Suppression and Energy Harvesting. The project aims to generate a fundamental understanding of the underlying multiphysics of dual-functional locally resonating metastructures, where undesirable vibrations are suppressed while absorbed energy is converted into electricity. It will widen low-frequency vibration suppression gaps and maximise energy capture by formulating an integrated modelling framework to leverage complex dynamics of nonlinear local reso ....Metastructures for Simultaneous Vibration Suppression and Energy Harvesting. The project aims to generate a fundamental understanding of the underlying multiphysics of dual-functional locally resonating metastructures, where undesirable vibrations are suppressed while absorbed energy is converted into electricity. It will widen low-frequency vibration suppression gaps and maximise energy capture by formulating an integrated modelling framework to leverage complex dynamics of nonlinear local resonators coupled with vibration energy harvesting mechanisms and nonlinear electrical circuitry. This will promote the development of next-generation multifunctional metastructures. Knowledge produced should improve the durability of structural components and empower sustainable wireless monitoring with self-powered sensors.Read moreRead less
Collaborative Sensing and Learning for Maritime Situational Awareness. We aim to demonstrate coordinated autonomous sensing of naval assets in dynamic maritime environments, reducing the operational load required to deliver a high quality maritime situational awareness. A realistic simulation based approach will help us develop novel artificial intelligence technology including: self-adaptive strategies for dynamic asset allocation, embedded smart sensing capabilities for naval observation syste ....Collaborative Sensing and Learning for Maritime Situational Awareness. We aim to demonstrate coordinated autonomous sensing of naval assets in dynamic maritime environments, reducing the operational load required to deliver a high quality maritime situational awareness. A realistic simulation based approach will help us develop novel artificial intelligence technology including: self-adaptive strategies for dynamic asset allocation, embedded smart sensing capabilities for naval observation systems and novel approaches to continuous collaborative learning from multi-spectral media. In addition to the emerging partnership between participants, the project will advance sovereign capability to develop maritime intelligence gathering technology for the Royal Australian Navy to underpin stability in our region. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100975
Funder
Australian Research Council
Funding Amount
$415,775.00
Summary
Architectured ceramics to combine strength, toughness, and complex shapes. This project aims to develop ceramics that are simultaneously strong and tough, and to form them into complex shapes without compromising their mechanical properties – major challenges in science and engineering. Inspired by the internal architectures that confer these advantages on natural hard materials, it will produce novel ceramics with rationally-designed, highly-controlled dense architectures by developing a fast, ....Architectured ceramics to combine strength, toughness, and complex shapes. This project aims to develop ceramics that are simultaneously strong and tough, and to form them into complex shapes without compromising their mechanical properties – major challenges in science and engineering. Inspired by the internal architectures that confer these advantages on natural hard materials, it will produce novel ceramics with rationally-designed, highly-controlled dense architectures by developing a fast, scalable and versatile light-based 3D–4D printing technique combined with discrete element modelling. Outcomes will be toughened ceramics and new knowledge on processing-architecture-performance relationships, with significant benefits for biomaterials, defence, transport, high-temperature and aerospace applications.Read moreRead less
Dominant flow noise source identification for ducted marine propellers. Ducted marine propellers are becoming an increasing alternative to conventional open propellers. Understanding flow-induced noise generated by ducted propellers is a key consideration in the design process to minimise noise emission. This project aims to develop new methods to identify turbulent flow sources of a ducted marine propeller that dominate sound. High-fidelity numerical methods will be developed to study the compl ....Dominant flow noise source identification for ducted marine propellers. Ducted marine propellers are becoming an increasing alternative to conventional open propellers. Understanding flow-induced noise generated by ducted propellers is a key consideration in the design process to minimise noise emission. This project aims to develop new methods to identify turbulent flow sources of a ducted marine propeller that dominate sound. High-fidelity numerical methods will be developed to study the complex interaction between inflow turbulence, support struts, propeller blades and duct structure. Successful identification of the dominant sources of noise will allow for targeted noise mitigation strategies with significant impact for stealth of military vessels and reduction of underwater noise pollution on marine life.Read moreRead less
Cepstral methods of operational modal analysis to separate multiple sources. This project aims to develop new methods of operational modal analysis in situations with multiple complex sources, such as rotating machines. The project will obtain scaled mode shapes as well as separated scaled sources. One of the main applications will be to improve the prognostics of machines by having separated scaled estimates of the forcing functions to make it easier to find fault parameters which trend monoton ....Cepstral methods of operational modal analysis to separate multiple sources. This project aims to develop new methods of operational modal analysis in situations with multiple complex sources, such as rotating machines. The project will obtain scaled mode shapes as well as separated scaled sources. One of the main applications will be to improve the prognostics of machines by having separated scaled estimates of the forcing functions to make it easier to find fault parameters which trend monotonically towards failure, and thus greatly improve the estimates of remaining useful equipment life. An additional benefit of the application will be the ability to predict overall noise radiation from a machine or object if both the sources and modal models are scaled.Read moreRead less