Design of Multi-Gigabit Millimeter Wave Cellular Networks. It has been predicted that within the next ten years trillions of devices will connect to cellular networks and cause a thousand-fold increase in mobile traffic. This will lead to a severe spectrum shortage and congested cellular networks. Large expanses of the millimetre-wave spectrum have the potential to meet the capacity demands of future cellular networks. The project aims to develop the fundamental sciences for millimetre-wave cell ....Design of Multi-Gigabit Millimeter Wave Cellular Networks. It has been predicted that within the next ten years trillions of devices will connect to cellular networks and cause a thousand-fold increase in mobile traffic. This will lead to a severe spectrum shortage and congested cellular networks. Large expanses of the millimetre-wave spectrum have the potential to meet the capacity demands of future cellular networks. The project aims to develop the fundamental sciences for millimetre-wave cellular communications, which thought to be essential for the design of next generation cellular networks with data rates at least three orders of magnitude faster than those in current cellular networks. The research outcomes are expected to provide the foundations and tools for building a future mobile broadband network infrastructure in Australia.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
Hierarchical modeling of protein interactions. Protein interactions play a central role in function and structural organization of cells. Their elucidation is essential for a better understanding of many cellular processes from signal transduction to enzyme inhibition. The aim of this project is to utilize the unprecedented powers of current supercomputers in developing a hierarchical model of protein interactions. The method combines Brownian dynamics at large distances and long time scales ....Hierarchical modeling of protein interactions. Protein interactions play a central role in function and structural organization of cells. Their elucidation is essential for a better understanding of many cellular processes from signal transduction to enzyme inhibition. The aim of this project is to utilize the unprecedented powers of current supercomputers in developing a hierarchical model of protein interactions. The method combines Brownian dynamics at large distances and long time scales with molecular dynamics at small distances and shorter times. Applications to both membrane proteins (blocking of ion channels by toxins and drugs) and globular proteins (ligand binding to receptors and protein association) will be considered.Read moreRead less
Cellular signals controlling oocyte activation. This research will significantly advance our understanding of the basic biological processes that underpin the fertility rate of all mammals and are key to the immediate and future health and well-being of Australian landscape and society. Understanding the processes that maintain healthy quiescent oocytes over many years before activation and subsequent growth will enable development of methods of increasing productivity in domestic animals and en ....Cellular signals controlling oocyte activation. This research will significantly advance our understanding of the basic biological processes that underpin the fertility rate of all mammals and are key to the immediate and future health and well-being of Australian landscape and society. Understanding the processes that maintain healthy quiescent oocytes over many years before activation and subsequent growth will enable development of methods of increasing productivity in domestic animals and enhancing fertility in endangered species. Knowledge of these cellular mechanisms will underpin biotechnology platforms necessary for novel methods of feral animal population control thus contributing at multiple levels to an economically sustainable Australia.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
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
Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vecto ....Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vector conversion methods. It is expected to develop a framework where semantic labels and hyperlinks can be embedded in visual data automatically. It hopes to pioneer the creation of a web of images where the links are on image/video regions. New image simplification, stylisation, and non-photorealistic rendering methods are expected to be provided.Read moreRead less