Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100090
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
Facility for Experimental Human-Robot Interaction Research. Facility for experimental human-robot interaction research: This project seeks to build an integrated facility for the multidisciplinary experimental study of human-robot interaction. The facility will consist of a variety of state-of-the-art sensors tailored to non-intrusively measure human location, limb posture and gesture, together with physiological measurements (heart rate, subcutaneous blood flow) that are linked to human intent ....Facility for Experimental Human-Robot Interaction Research. Facility for experimental human-robot interaction research: This project seeks to build an integrated facility for the multidisciplinary experimental study of human-robot interaction. The facility will consist of a variety of state-of-the-art sensors tailored to non-intrusively measure human location, limb posture and gesture, together with physiological measurements (heart rate, subcutaneous blood flow) that are linked to human intent and affective state. This capability will support a wide variety of multidisciplinary experimentation in human-robot interaction.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130101311
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Predicting health status of geriatric patients from user trusted multimedia observations. The information technology developed in this project will provide health care specialists with a better window into the lives of elderly patients. Their behaviour can then be accurately interpreted, potentially leading to earlier recognition of problems and better treatment.
Promoting fairness in online attention. This project aims to design mechanisms for fairness of attention to online digital items, by promoting diversity and reducing biases. Attention is one of the most valuable, yet scarce resources in the modern world. Biased attention fuels the propagation of fake information, hurts democratic debate in society and leads to public trust crisis of online media, which could result in unpleasant surprises in individual and group decisions. This project builds ....Promoting fairness in online attention. This project aims to design mechanisms for fairness of attention to online digital items, by promoting diversity and reducing biases. Attention is one of the most valuable, yet scarce resources in the modern world. Biased attention fuels the propagation of fake information, hurts democratic debate in society and leads to public trust crisis of online media, which could result in unpleasant surprises in individual and group decisions. This project builds upon recent breakthroughs in social dynamics, and expects to design new methods for measuring the extent of (un)fairness and (mis)trust, validate novel intervention strategies in a series of online experiments promoting unbiased information consumption and fair decision-making.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100630
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Relating function of complex networks to structure using information theory. This project aims to investigate networks in order to translate network function to a universal language of information flows. Network science has used common tools to reveal universal connection structures within various biological and man-made networks – our brains, social networks and power grids are all networks of interacting components. Yet there is no common method to study the function of these networks and how ....Relating function of complex networks to structure using information theory. This project aims to investigate networks in order to translate network function to a universal language of information flows. Network science has used common tools to reveal universal connection structures within various biological and man-made networks – our brains, social networks and power grids are all networks of interacting components. Yet there is no common method to study the function of these networks and how such function is coupled with structure. This project aims to relate network structure to function by using measures of information processing as a generally-applicable framework. This will deliver a theory of how structure gives rise to dynamics and how structure can be optimised for desired dynamics.Read moreRead less
Advanced Monte Carlo Methods for Spatial Processes. The modeling and analysis of spatial data relies more and more on sophisticated Monte Carlo simulation methods. However, with the growing complexity of today's spatial data, traditional Monte Carlo methods increasingly face difficulties in terms of speed and accuracy. The aim of this project is to develop new theory and applications at the interface of Monte Carlo methods and spatial statistics, building upon exciting theoretical and computatio ....Advanced Monte Carlo Methods for Spatial Processes. The modeling and analysis of spatial data relies more and more on sophisticated Monte Carlo simulation methods. However, with the growing complexity of today's spatial data, traditional Monte Carlo methods increasingly face difficulties in terms of speed and accuracy. The aim of this project is to develop new theory and applications at the interface of Monte Carlo methods and spatial statistics, building upon exciting theoretical and computational advances in both areas in recent years. The research will stimulate the design of microscopic and macroscopic complex spatial structures with superior properties, such as composite materials, solar cells, telecommunication networks, mining operations, and road systems.Read moreRead less
Search strategy optimisation by theory, functional analysis and simulation. This project aims to develop a novel computational platform, based on mathematical, statistical and physical theory, as well as advanced simulations, enabling the quantitative prediction of the optimal search strategy to be adopted by populations of agents searching for scarce targets in any given environment. This could lead to significant impacts on breakthrough developments in cancer immunotherapy, search and rescue r ....Search strategy optimisation by theory, functional analysis and simulation. This project aims to develop a novel computational platform, based on mathematical, statistical and physical theory, as well as advanced simulations, enabling the quantitative prediction of the optimal search strategy to be adopted by populations of agents searching for scarce targets in any given environment. This could lead to significant impacts on breakthrough developments in cancer immunotherapy, search and rescue robotics, ecological and environmental management, and developmental biology.Read moreRead less
Reconstructing proteins to explain and engineer biological diversity. The aim of this project is to develop computational methods to construct entirely new proteins. Computational reconstruction of enzymes that have been extinct for over 400 million years has revealed remarkable opportunities for biotechnological innovation. The intended outcomes are to develop bioinformatics methods to broaden the scope of ancestral protein reconstruction to include protein super-families, to establish what spe ....Reconstructing proteins to explain and engineer biological diversity. The aim of this project is to develop computational methods to construct entirely new proteins. Computational reconstruction of enzymes that have been extinct for over 400 million years has revealed remarkable opportunities for biotechnological innovation. The intended outcomes are to develop bioinformatics methods to broaden the scope of ancestral protein reconstruction to include protein super-families, to establish what specific changes led to the evolutionary success of a protein, and to re-run evolution to generate proteins that perform in conditions suitable for industrial and agricultural applications, in particular the production of hydroxylated fatty acids for bioplastics. By examining proteins from many life forms, the project plans to develop a novel bioinformatics strategy to understand their evolution and engineer new proteins for use in production of chemical commodities.Read moreRead less
Next-generation Protein Structural comparison using Information Theory. Progress in protein structural biology relies heavily on key computational technologies, structural alignment being an indispensable one. Despite its importance the structural alignment problem has not been formulated, much less solved, in a consistent and reliable way. This project aims to rectify this by combining novel information-theoretic inference with advances in constraint optimisation and visualisation. State-of-the ....Next-generation Protein Structural comparison using Information Theory. Progress in protein structural biology relies heavily on key computational technologies, structural alignment being an indispensable one. Despite its importance the structural alignment problem has not been formulated, much less solved, in a consistent and reliable way. This project aims to rectify this by combining novel information-theoretic inference with advances in constraint optimisation and visualisation. State-of-the-art alignment methods aim to be produced for biologists to generate statistically-rigorous and biologically-trustworthy alignments, and allow them to visualise structural relationships in unprecedented ways. This project is expected to provide direct payoffs to the fields of protein science, crystallography and bioinformatics.Read moreRead less
A technology platform for multiple body site image-omics. The project aim is to derive a technology platform comprising new image processing and machine learning algorithms to integrate imaging and biological data across multiple body sites. The relationships between image features and biological data across multiple sites has not been discovered before. We propose the use of biological information from one sampled site to investigate other unsampled sites based on imaging-omics correspondences. ....A technology platform for multiple body site image-omics. The project aim is to derive a technology platform comprising new image processing and machine learning algorithms to integrate imaging and biological data across multiple body sites. The relationships between image features and biological data across multiple sites has not been discovered before. We propose the use of biological information from one sampled site to investigate other unsampled sites based on imaging-omics correspondences. We will use a data-driven, searchable graph model approach for knowledge discovery within the population data. The project will provide new insights into systems biology and bioinformatics that will then inform and promote benefits in life sciences, with potential future benefits in healthcare.Read moreRead less
Brain-based sensor fusion for navigating robots. This project uses new findings in neuroscience to create robots that can self-determine which of their sensors will best help them learn to navigate in an environment. This technology enables robot systems to be flexibly deployed without prior calibration for wide ranging applications in environments from office buildings to outdoor ecosystems.