Where Gesture Meets Grammar: Crosslinguistic Multimodal Communication. This project aims to investigate both differences and universal tendencies in the interplay of speech and gesture across four languages of importance for Australia. The crucial role of gestures is often overlooked in the analysis of communication. In this project, specialists from linguistics, gesture and cultural studies, psychology and cognitive science collaborate using an innovative approach to generate new knowledge abou ....Where Gesture Meets Grammar: Crosslinguistic Multimodal Communication. This project aims to investigate both differences and universal tendencies in the interplay of speech and gesture across four languages of importance for Australia. The crucial role of gestures is often overlooked in the analysis of communication. In this project, specialists from linguistics, gesture and cultural studies, psychology and cognitive science collaborate using an innovative approach to generate new knowledge about how speech and gesture interact to communicate meaning. The project can provide significant benefits for our understanding of language and cognition, cross-cultural communication in multilingual Australia, and the documentation of endangered languages.Read moreRead less
Tuning parallel applications on software-defined supercomputers. Supercomputers are used by many Australian industries and laboratories to make better products and perform critical predictions, and it is essential that codes operate efficiently. This project aims to assist programmers in identifying performance bottlenecks in their code quickly and easily. The project expects to supersede the current methods, which are often complex and time-consuming, by developing innovative software tools and ....Tuning parallel applications on software-defined supercomputers. Supercomputers are used by many Australian industries and laboratories to make better products and perform critical predictions, and it is essential that codes operate efficiently. This project aims to assist programmers in identifying performance bottlenecks in their code quickly and easily. The project expects to supersede the current methods, which are often complex and time-consuming, by developing innovative software tools and techniques. The expected outcomes include novel software, verified by industry partners in real world case studies, ranging from life sciences to hypersonic transport. This should provide significant benefits, including the capacity for Australian industries to access world-class supercomputing technology.Read moreRead less
Detecting Asynchronous Event-Driven Order Violations in Android Apps. This project aims to develop an event-interleaving analysis for detecting asynchronous event-driven order violations in Android apps. This project therefore expects to deliver a program analysis foundation that can provide stronger security guarantees than the state of the art against advanced exploits that abuse such asynchronous vulnerabilities. The intended outcomes of this project are a new program analysis technology and ....Detecting Asynchronous Event-Driven Order Violations in Android Apps. This project aims to develop an event-interleaving analysis for detecting asynchronous event-driven order violations in Android apps. This project therefore expects to deliver a program analysis foundation that can provide stronger security guarantees than the state of the art against advanced exploits that abuse such asynchronous vulnerabilities. The intended outcomes of this project are a new program analysis technology and an industrial-strength open-source framework that can significantly raise the bar on mobile software quality and security for Android, the dominant smartphone platform accounting a current market share at 87.0% with 2.9 million apps at Google Play in December 2019.Read moreRead less
Preventing sensitive data exfiltration from insiders . Confidential data such as military secrets or intellectual property must never be disclosed outside the organisation; formally protecting data exfiltration from insider attacks is a major challenge. This project aims to develop a pattern matching based systematic methodology for data exfiltration in database systems. We will devise highly accurate detection tools and secure provenance techniques that can effectively protect against insider a ....Preventing sensitive data exfiltration from insiders . Confidential data such as military secrets or intellectual property must never be disclosed outside the organisation; formally protecting data exfiltration from insider attacks is a major challenge. This project aims to develop a pattern matching based systematic methodology for data exfiltration in database systems. We will devise highly accurate detection tools and secure provenance techniques that can effectively protect against insider attacks. The outcomes of the project will incorporate new security constraints and policies raised by emerging technologies to enable better protection of sensitive information. Read moreRead less
Macroecology of reptiles and frogs over latitudinal and temporal gradients. This project aims to address major macroecological concepts in reptile and frog communities through time, focusing on environmental and climatic gradients in species diversity and body-size variation. This project expects to generate a unique macroecological dataset by integrating data from Quaternary fossil sites spanning a 3000km latitudinal gradient with current ecological data. Expected outcomes include the first com ....Macroecology of reptiles and frogs over latitudinal and temporal gradients. This project aims to address major macroecological concepts in reptile and frog communities through time, focusing on environmental and climatic gradients in species diversity and body-size variation. This project expects to generate a unique macroecological dataset by integrating data from Quaternary fossil sites spanning a 3000km latitudinal gradient with current ecological data. Expected outcomes include the first comprehensive ecological assessment of Australian reptile and frog communities through Pleistocene climate oscillations, with predictions into the future. This research will benefit Australian society by providing evidence-based knowledge of faunal community composition through time in association with changing climates.Read moreRead less
Resource Allocation for High-Volume Streaming Data in Data Centers. Almost all chip vendors are producing new hardware accelerators by combining several units into a single main-board, and therefore making the execution of parallel and distributed run-time primitives not efficient/scalable. This project aims to develop innovative ways to building incremental and iterative computations over massive data sets in a cluster of heterogeneous systems. This will provide a significant reduction of perfo ....Resource Allocation for High-Volume Streaming Data in Data Centers. Almost all chip vendors are producing new hardware accelerators by combining several units into a single main-board, and therefore making the execution of parallel and distributed run-time primitives not efficient/scalable. This project aims to develop innovative ways to building incremental and iterative computations over massive data sets in a cluster of heterogeneous systems. This will provide a significant reduction of performance bottlenecks when running heavily distributed data-driven applications. Expected outcomes will include resource management algorithms that optimise performance at large scale. The project will benefit many areas, including running stateful iterative stream-based data-analysis applications in data centres. Read moreRead less
Shape4D: Modelling the Spatiotemporal Deformation Patterns in 3D Shapes. This research will develop new mathematical methods and algorithms that will enable the use of population-level longitudinal studies to model the spatial and temporal deformation patterns in 3D biological objects. Using novel geometric and deep learning techniques, it will create new methods that will allow the characterization of how the 3D shape of objects deforms with ageing, disease progression and interaction with thei ....Shape4D: Modelling the Spatiotemporal Deformation Patterns in 3D Shapes. This research will develop new mathematical methods and algorithms that will enable the use of population-level longitudinal studies to model the spatial and temporal deformation patterns in 3D biological objects. Using novel geometric and deep learning techniques, it will create new methods that will allow the characterization of how the 3D shape of objects deforms with ageing, disease progression and interaction with their environment, and the simulation of spatiotemporal deformations in anatomical organs. Benefits include a better understanding of growth processes, predictive models of how degenerative diseases progress and a computational framework that will assist in designing proper mitigation and intervention strategies.Read moreRead less
Mid-Career Industry Fellowships - Grant ID: IM230100544
Funder
Australian Research Council
Funding Amount
$862,952.00
Summary
Unlocking the archive: reuniting Indigenous languages and their communities. Australia is experiencing a crisis in the loss of Indigenous languages. Drawing on both international best practice and local knowledge, this project aims to develop innovative and enduring resources for community-driven language maintenance and revitalisation. By collaborating with and building the capacity of Indigenous language workers and organisations, the following transformative outcomes are anticipated: (1) tool ....Unlocking the archive: reuniting Indigenous languages and their communities. Australia is experiencing a crisis in the loss of Indigenous languages. Drawing on both international best practice and local knowledge, this project aims to develop innovative and enduring resources for community-driven language maintenance and revitalisation. By collaborating with and building the capacity of Indigenous language workers and organisations, the following transformative outcomes are anticipated: (1) tools to unlock linguistic terminology and methods; (2) resources for language revitalisation; (3) an evaluation of existing strategies for language revitalisation; (4) new understanding of Indigenous people's perceptions of language change and how this informs their language goals.Read moreRead less
Improving stream management using ecological modelling and DNA barcodes. Rivers and streams provide invaluable ecosystem services, yet are commonly degraded by human activities: a problem likely to be exacerbated by thermal and flow regimes being altered by climate change. Stream biodiversity is both a value and an indicator of ecological health: effective stream management requires prediction of biodiversity responses to natural environmental and human-impact gradients. By compiling a dataset o ....Improving stream management using ecological modelling and DNA barcodes. Rivers and streams provide invaluable ecosystem services, yet are commonly degraded by human activities: a problem likely to be exacerbated by thermal and flow regimes being altered by climate change. Stream biodiversity is both a value and an indicator of ecological health: effective stream management requires prediction of biodiversity responses to natural environmental and human-impact gradients. By compiling a dataset of macroinvertebrate species using new DNA metabarcoding, modelling their distributions, and ranking biodiversity by reach, we will develop molecular and quantitative spatial tools to provide data-driven, landscape-scale decision support for protecting and restoring streams: an urgent need for stream managers globally.Read moreRead less
Intelligent Incident Management for Software-Intensive Systems. This project aims to develop intelligent incident management methods for software-intensive systems. Incidents are unplanned system interruptions or outages that could affect the normal operations of an organization and cause huge economic loss. This project expects to develop innovative, Artificial Intelligence (AI) based methods for automated incident management, including incident detection, incident identification, and incident ....Intelligent Incident Management for Software-Intensive Systems. This project aims to develop intelligent incident management methods for software-intensive systems. Incidents are unplanned system interruptions or outages that could affect the normal operations of an organization and cause huge economic loss. This project expects to develop innovative, Artificial Intelligence (AI) based methods for automated incident management, including incident detection, incident identification, and incident triage. Expected outcomes of the project include a set of novel methods and tools that can facilitate incident diagnosis and resolution. This project will provide significant benefits, such as improving the availability of software-intensive systems and reducing the economic loss caused by the incidents. Read moreRead less