Terahertz and optical coherence tomography for improved cancer imaging. This project aims to improve cancer imaging by combining two complimentary, novel techniques. Its success will create an internationally leading position for Australia in cutting-edge research in optical and terahertz biomedical imaging. This innovative, fundamental research will expand Australia's research capacity in imaging sciences. The nation will benefit from new medical diagnostic techniques that will improve the dete ....Terahertz and optical coherence tomography for improved cancer imaging. This project aims to improve cancer imaging by combining two complimentary, novel techniques. Its success will create an internationally leading position for Australia in cutting-edge research in optical and terahertz biomedical imaging. This innovative, fundamental research will expand Australia's research capacity in imaging sciences. The nation will benefit from new medical diagnostic techniques that will improve the detection and treatment of cancer; as well as aid the clinical assessment of burns. This multidisciplinary, internationally collaborative research has additional wide ranging benefits in biology, medicine, pharmaceutical science and national security.Read moreRead less
Defense against adversarial attacks on deep learning in computer vision. Computer vision applications rely heavily on deep learning, which is highly vulnerable to being fooled by adding subtle perturbations to object/image textures that are imperceptible to humans. This project aims to develop defense mechanisms to detect and remove adversarial patterns from the input images. The project expects to advance knowledge in understanding the vulnerabilities of deep learning, and to design deep learni ....Defense against adversarial attacks on deep learning in computer vision. Computer vision applications rely heavily on deep learning, which is highly vulnerable to being fooled by adding subtle perturbations to object/image textures that are imperceptible to humans. This project aims to develop defense mechanisms to detect and remove adversarial patterns from the input images. The project expects to advance knowledge in understanding the vulnerabilities of deep learning, and to design deep learning architectures that are inherently robust. The outcomes of this project will increase the security and reliability of computer vision by detecting, reporting and nullifying such attacks and will benefit the general public and industry on many fronts.Read moreRead less
“Beacons in the Night” unveiling how galaxies light up dark matter. How dark matter influences the formation and evolution of galaxies is to this day an outstanding question in astrophysics. To answer it, world-class facilities and a unique combination of observations and theory are required. This DP team, a world-class team of observers and theorists, will tackle this question by leveraging on two multi-million dollar projects: the MAGPI galaxy survey and the hydrodynamical simulations suite EA ....“Beacons in the Night” unveiling how galaxies light up dark matter. How dark matter influences the formation and evolution of galaxies is to this day an outstanding question in astrophysics. To answer it, world-class facilities and a unique combination of observations and theory are required. This DP team, a world-class team of observers and theorists, will tackle this question by leveraging on two multi-million dollar projects: the MAGPI galaxy survey and the hydrodynamical simulations suite EAGLE-XL. MAGPI will deliver exquisite kinematics for hundreds of galaxies in the middle ages of the Universe, providing a view to the effect of dark matter on galaxies at this critical time, while EAGLE-XL represents the technological frontier in simulations and provides the best interpretative framework for MAGPI.Read moreRead less
Using immersive virtual reality to enhance students’ science visualisation. This project aims to investigate the potential of advanced visualisation technology, immersive virtual reality, as a collaborative learning environment to support students to explore their ideas and learn a core chemistry concept, molecular structures and functions. Incorporating both data analytics and qualitative video analysis, the project will establish a deep understanding of how students learn about the molecular w ....Using immersive virtual reality to enhance students’ science visualisation. This project aims to investigate the potential of advanced visualisation technology, immersive virtual reality, as a collaborative learning environment to support students to explore their ideas and learn a core chemistry concept, molecular structures and functions. Incorporating both data analytics and qualitative video analysis, the project will establish a deep understanding of how students learn about the molecular world within an immersive virtual reality environment in relation to the learners’ experience, chemistry content, visual representations, learning tasks, and design features. The project will recommend evidence-driven design considerations for learning resources development and further educational research with advanced technologies.Read moreRead less
The online future of Science and Engineering education: The essential elements of laboratory-based learning for remote-access implementation. Laboratory classes are a critical part of science and engineering degree programs, but there has been little research into what actually takes place within them. Remote laboratories, in which students control equipment via the internet, are one potential solution for accommodating rising numbers of students, but the interfaces must be developed to effectiv ....The online future of Science and Engineering education: The essential elements of laboratory-based learning for remote-access implementation. Laboratory classes are a critical part of science and engineering degree programs, but there has been little research into what actually takes place within them. Remote laboratories, in which students control equipment via the internet, are one potential solution for accommodating rising numbers of students, but the interfaces must be developed to effectively support student learning. This project will investigate how students interact with equipment, each other, and with laboratory demonstrators in order to determine the crucial components of effective laboratory learning experiences. It will identify and characterise the interactions of students in laboratory classes, and develop mechanisms to support these interactions remotely.Read moreRead less
Complexities of the mitochondrial transcriptome. This project aims to understand mitochondrial gene expression and energy production. Energy production is important for living things to grow and develop. In mammals, the mitochondria, the energy producing “powerhouses of the cell”, contain their own genetic assembly instructions. This project aims to understand these genetic instructions, revealing how genes control energy production. This project will characterise the genetic instructions, the m ....Complexities of the mitochondrial transcriptome. This project aims to understand mitochondrial gene expression and energy production. Energy production is important for living things to grow and develop. In mammals, the mitochondria, the energy producing “powerhouses of the cell”, contain their own genetic assembly instructions. This project aims to understand these genetic instructions, revealing how genes control energy production. This project will characterise the genetic instructions, the mitochondrial transcriptome and the proteins that control them. These advances are expected to provide a mechanistic understanding of how gene expression responds to changes in cellular energy demands. This knowledge will generate new biotechnological tools for Australian science and will have important long-term implications for improving agriculture and medicineRead moreRead less
Statistical methodology for events on a network, with application to road safety. This project develops new methods to analyse road traffic accident rates, aiming to identify accident black spots and to develop an evidence base for future road design and road safety management. These methods can be applied to other types of events on a network of roads, railways, rivers, electrical wires, communication networks or airline routes.
Fine-grained Human Action Recognition with Deep Graph Neural Networks. This project aims to develop novel graph neural network based deep learning algorithms for fine-grained human action recognition. This project expects to bring human action analysis to the next level and to significantly advance the analysis of subtle yet complex human actions. Expected outcomes of this project include theoretical advances on graph representation based deep learning algorithms for spatial-temporal data, and e ....Fine-grained Human Action Recognition with Deep Graph Neural Networks. This project aims to develop novel graph neural network based deep learning algorithms for fine-grained human action recognition. This project expects to bring human action analysis to the next level and to significantly advance the analysis of subtle yet complex human actions. Expected outcomes of this project include theoretical advances on graph representation based deep learning algorithms for spatial-temporal data, and enabling techniques for more objective human action analysis in many domains such as sports and health. This should provide significant benefits to any application domain involving big and complex spatial-temporal data for finer analytics and better knowledge discovery.Read moreRead less
Going wild: Neural processing in freely moving animals. This project aims to use new techniques in wireless neural recording to reveal how small neural networks process visual information to make fast, accurate decisions. The project is designed to generate new knowledge about biological solutions to contextual information processing and how tiny, simple biological neural systems control critical animal behaviours such as predator avoidance. Expected outcomes will be new biological insights with ....Going wild: Neural processing in freely moving animals. This project aims to use new techniques in wireless neural recording to reveal how small neural networks process visual information to make fast, accurate decisions. The project is designed to generate new knowledge about biological solutions to contextual information processing and how tiny, simple biological neural systems control critical animal behaviours such as predator avoidance. Expected outcomes will be new biological insights with which to develop novel bio-inspired decision-making processing systems as required in small, autonomous robots. The anticipated benefits of this project will be advances in fundamental neuroscience and animal behaviour and is expected to provide significant value to a fast-developing industrial sector.Read moreRead less
Complexity of group algorithms and statistical fingerprints of groups. This project aims to shape the next generation of efficient randomised algorithms in the field of group theory, the mathematics of symmetry. Fundamental mathematics underpins modern technological tasks such as web searches, sorting and data compression. This project aims to determine characteristic statistical fingerprints of key building-block groups. These group statistics lead to much faster procedures to essentially facto ....Complexity of group algorithms and statistical fingerprints of groups. This project aims to shape the next generation of efficient randomised algorithms in the field of group theory, the mathematics of symmetry. Fundamental mathematics underpins modern technological tasks such as web searches, sorting and data compression. This project aims to determine characteristic statistical fingerprints of key building-block groups. These group statistics lead to much faster procedures to essentially factor huge groups into smaller building-block groups in a manner akin to factoring an integer into its prime factors. The anticipated goal is to include the outcomes in publicly available symbolic algebra computer packages. As the theory of symmetry has broad applications in the mathematical and physical sciences, there is the potential for far reaching benefits.Read moreRead less