Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algori ....Analysing Iterative Machine Learning Algorithms with Information Geometric Methods. Online machine learning problems arise from situations where data is provided a point at a time. There are many classical algorithms for solving such problems based on the principle of stochastic gradient descent. Recent research by the CIs and others have thrown up interesting but diverse geometric connections that offer new insights. The proposed research aims to integrate the understanding of these algorithms with the aim of designing algorithms better able to exploit prior knowledge, and to extend existing algorithms to new problem domains thus offering well principled and well understood algorithms for solving a variety of novel online problems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100128
Funder
Australian Research Council
Funding Amount
$395,000.00
Summary
Information processing in the brain. This project aims to understand the brain's functional organisation by developing non-invasive methods to characterise connectivity between interacting brain regions. No model-based methods to compute directional coupling between brain regions can be applied to large scale networks for resting state functional MRI data. This capability would be a major breakthrough in neuroimaging, given uninformative (non-directional) network connectivity analysis restricts ....Information processing in the brain. This project aims to understand the brain's functional organisation by developing non-invasive methods to characterise connectivity between interacting brain regions. No model-based methods to compute directional coupling between brain regions can be applied to large scale networks for resting state functional MRI data. This capability would be a major breakthrough in neuroimaging, given uninformative (non-directional) network connectivity analysis restricts research. This project is expected to advance our understanding of information processing in the brain by providing a mechanistic approach to functional integration.Read moreRead less
Active Sound Control and Noise Cancellation over Space. This project aims to address the critical issues for creating acoustic quiet zones in a noisy environment. It will provide novel signal processing theory for further development of active noise cancellation techniques over spatial regions. New technologies developed from this project are expected to underpin the future development of acoustic signal processing research and will have a broad range of applications such as reduction of noise i ....Active Sound Control and Noise Cancellation over Space. This project aims to address the critical issues for creating acoustic quiet zones in a noisy environment. It will provide novel signal processing theory for further development of active noise cancellation techniques over spatial regions. New technologies developed from this project are expected to underpin the future development of acoustic signal processing research and will have a broad range of applications such as reduction of noise inside cars, creation of individual quiet zones in passenger planes and mitigation of acoustic noise made by industrial plants to neighbouring suburbs. The outcomes from this proposal will also have economic importance as it can reduce the health risk posed to people working or living in noisy environments.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150100363
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
The cocktail party problem: Advancing binaural localisation techniques. This project aims to advance fundamental research in source localisation by using a binaural system with two sensors to mimic human listening capabilities. It will provide new theory of source localisation features, novel signal processing techniques and design of binaural devices for localising sound sources in a cluttered acoustic environment. New technologies developed from this project will endeavour to lead to further d ....The cocktail party problem: Advancing binaural localisation techniques. This project aims to advance fundamental research in source localisation by using a binaural system with two sensors to mimic human listening capabilities. It will provide new theory of source localisation features, novel signal processing techniques and design of binaural devices for localising sound sources in a cluttered acoustic environment. New technologies developed from this project will endeavour to lead to further development of binaural audio research and will have a broad range of applications, such as hearing aids, personal sound amplification products and humanoid robots. The project aims to enable people wearing binaural devices or robots having two artificial ears to localise sounds and to follow a conversation in realistic situations.Read moreRead less
Ultra-reliable and low-latency mission critical communications. This project aims to develop enabling technologies for ultra-reliable and low-latency communications. While the evolution of wireless communication technologies to date has focused on data rate improvement, very little is known on how to achieve ultra-reliability and almost-zero latency which is urgently required for mission critical applications such as smart manufacturing and intelligent vehicles. The outcomes of the project will ....Ultra-reliable and low-latency mission critical communications. This project aims to develop enabling technologies for ultra-reliable and low-latency communications. While the evolution of wireless communication technologies to date has focused on data rate improvement, very little is known on how to achieve ultra-reliability and almost-zero latency which is urgently required for mission critical applications such as smart manufacturing and intelligent vehicles. The outcomes of the project will be new analytical tools and practical guidelines for designing trusted communication platforms to realise these applications, with benefits ranging from improved safety in intelligent transportation systems to digital transformation of the manufacturing industry.Read moreRead less
Privately owned public space: noise cancellation over multiple regions. This project aims to advance fundamental research in active noise control over spatial regions. It has a broad range of industry applications, such as eliminating road and engine noise for multiple passengers inside car/airplane cabins, and creating individual quiet zones in a public environment. It will focus on developing new theories and techniques to generate multiple quiet zones in indoor/outdoor noisy environments with ....Privately owned public space: noise cancellation over multiple regions. This project aims to advance fundamental research in active noise control over spatial regions. It has a broad range of industry applications, such as eliminating road and engine noise for multiple passengers inside car/airplane cabins, and creating individual quiet zones in a public environment. It will focus on developing new theories and techniques to generate multiple quiet zones in indoor/outdoor noisy environments with performance prediction, robust control, and effective implementation. In many practical applications, especially in consumer electronics and medical instruments, the creation of quiet zones is desirable so that in a shared environment people can have their own audio space without physical isolation or using headphones, creating a healthy living and working environment.Read moreRead less
Sampling and processing for diffusion magnetic resonance imaging. This project aims to develop optimal, efficient and robust signal processing methods for diffusion magnetic resonance imaging (dMRI) with reduced scan times. A child, possibly distressed, can only be motionless long enough to undergo a basic dMRI scan of the brain, but enhanced forms of dMRI need at least 60 minutes. The project’s processing methods will use spherical geometries, which encode information about white matter fibres ....Sampling and processing for diffusion magnetic resonance imaging. This project aims to develop optimal, efficient and robust signal processing methods for diffusion magnetic resonance imaging (dMRI) with reduced scan times. A child, possibly distressed, can only be motionless long enough to undergo a basic dMRI scan of the brain, but enhanced forms of dMRI need at least 60 minutes. The project’s processing methods will use spherical geometries, which encode information about white matter fibres in the brain, to collect and reconstruct images. The project is expected to reduce dMRI scan times and ultimately make non-invasive and inexpensive early detection of neurological disorders such as dementia feasible.Read moreRead less
Enabling ultra-reliable and sustainable machine-to-machine communications. This project aims to develop spectrum sharing and power transfer techniques for machine-to-machine communications in future wireless networks. Current wireless networks have high data rate as a priority but cannot deliver ultra-reliable and extended battery life operation for many low data rate machine-type devices. Through proper design of wireless and autonomous machine-to-machine communications, this project expects to ....Enabling ultra-reliable and sustainable machine-to-machine communications. This project aims to develop spectrum sharing and power transfer techniques for machine-to-machine communications in future wireless networks. Current wireless networks have high data rate as a priority but cannot deliver ultra-reliable and extended battery life operation for many low data rate machine-type devices. Through proper design of wireless and autonomous machine-to-machine communications, this project expects to improve quality of life and implement ultra-reliable, intelligent and long lasting machine-type monitoring devices for health, agriculture, mining, wildlife and critical national infrastructure.Read moreRead less
Realizable Synchronization Techniques: Unlocking the Potential of Future Wireless Networks. Wireless networks are undergoing an exciting paradigm shift from carefully planned cellular networks to heterogeneous networks (coexistence of a multitude of base stations of different types), where users may also be equipped with wireless energy harvesting capability. A fundamental requirement of these next generation technologies is the need to achieve synchronisation among the different base stations a ....Realizable Synchronization Techniques: Unlocking the Potential of Future Wireless Networks. Wireless networks are undergoing an exciting paradigm shift from carefully planned cellular networks to heterogeneous networks (coexistence of a multitude of base stations of different types), where users may also be equipped with wireless energy harvesting capability. A fundamental requirement of these next generation technologies is the need to achieve synchronisation among the different base stations and mobile users. This project will develop the fundamental theory and advanced synchronisation techniques for future wireless networks. The expected outcomes will enable wireless networks to meet the increasing demand for higher data rates and extend the battery life of mobile users, benefitting the consumers and the Australian economy.Read moreRead less
Harnessing Spherical Geometry in Scientific and Engineering Data Processing. Spherical information underpins many natural phenomena, ranging from the distribution of galaxies in the Universe to the connectivity and neuronal activation in the human brain. Current major investments in scientific and medical instrumentation do not efficiently collect and process the massive amounts of data because they do not properly utilise its inherent spherical geometry. Through harnessing spherical geometry, t ....Harnessing Spherical Geometry in Scientific and Engineering Data Processing. Spherical information underpins many natural phenomena, ranging from the distribution of galaxies in the Universe to the connectivity and neuronal activation in the human brain. Current major investments in scientific and medical instrumentation do not efficiently collect and process the massive amounts of data because they do not properly utilise its inherent spherical geometry. Through harnessing spherical geometry, this project aims to address the above shortcomings and to provide advances across all these application domains. By collecting and processing data more efficiently, with greater fidelity, and by revealing features currently hidden, the methods developed are expected to see the full benefit from the instrumentation capturing this data.Read moreRead less