Faithful Visual Analytics: models, metrics and algorithms. This project aims to deliver new models, metrics and algorithms for Faithful Visual Analytics of complex data. For a purported visual representation of some data, "faithfulness" measures how accurately the visual representation describes the data. This project will develop new models for Faithful Visual Analytics, design new faithfulness metrics for faithful visual analytics of complex networks, design new algorithms to compute faithful ....Faithful Visual Analytics: models, metrics and algorithms. This project aims to deliver new models, metrics and algorithms for Faithful Visual Analytics of complex data. For a purported visual representation of some data, "faithfulness" measures how accurately the visual representation describes the data. This project will develop new models for Faithful Visual Analytics, design new faithfulness metrics for faithful visual analytics of complex networks, design new algorithms to compute faithful visualisations, and evaluate using real world social network and biological network data sets. The new models, metrics and algorithms produced by this project will be used in the next generation Visual Analytic tools to enable analysts develop accurate insights and new knowledge of complex data.Read moreRead less
Radio-magnetic nanoparticles as bimodal positron emission tomography/magnetic resonance imaging contrast agents for dendritic cell tracking. Biomedical imaging is limited by a lack of commercial dual-mode contrast agents, which may be simultaneously used for magnetic resonance (MR) and positron emission tomography (PET) imaging. This project will develop a nanotechnology-based biocompatible dual-mode contrast agent for simultaneous PET and MR imaging, reducing associated side effects.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100043
Funder
Australian Research Council
Funding Amount
$435,279.00
Summary
High-throughput portable and wearable device fabrication facility. This project aims to establish a fabrication and characterisation facility for high-throughput production of portable, wearable and stretchable biomedical devices to accelerate the design–fabrication–evaluation process and save ‘trial-and-error’ costs during optimisation turnaround. It will apply computer-aided design for the programmable synthesis of hybrid materials for high-throughput screening of disease biomarkers, and super ....High-throughput portable and wearable device fabrication facility. This project aims to establish a fabrication and characterisation facility for high-throughput production of portable, wearable and stretchable biomedical devices to accelerate the design–fabrication–evaluation process and save ‘trial-and-error’ costs during optimisation turnaround. It will apply computer-aided design for the programmable synthesis of hybrid materials for high-throughput screening of disease biomarkers, and super-solution imaging of single molecules in live cells. This facility will provide capability for researchers pursuing industry transformation and other initiatives in the development of advanced materials, biomolecular sciences, nanotechnology, photonics and device engineering.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100068
Funder
Australian Research Council
Funding Amount
$390,000.00
Summary
Bioinspired liposome-based smart sensors. This project aims to develop a liposome-based biosensor technology that mimics cell sensory systems. Selective detection of compounds is increasingly important for food, health and environmental monitoring. Biosensor development faces long-standing challenges such as response time, sensitivity, specificity, and multiplexing. On the other hand, cells can sense and discriminate multiple biomolecules in seconds with high sensitivity and specificity. This pr ....Bioinspired liposome-based smart sensors. This project aims to develop a liposome-based biosensor technology that mimics cell sensory systems. Selective detection of compounds is increasingly important for food, health and environmental monitoring. Biosensor development faces long-standing challenges such as response time, sensitivity, specificity, and multiplexing. On the other hand, cells can sense and discriminate multiple biomolecules in seconds with high sensitivity and specificity. This project aims to harness cells’ exquisite biological properties to improve current detection techniques. It will integrate liposome-based sensors with microfluidics to perform analytical tasks ranging from food safety to diagnostics.Read moreRead less
Magnetofluidic sample handling for enhanced point-of-care diagnosis. This project aims to decipher the mechanism behind recent discovery on the enhancement of mixing and separation with magnetism and to apply it to the rapid and early detection of malaria and cancer. This mechanism provides novel and unique fluid handling capabilities, which allow the development of revolutionary point-of-care diagnostic approaches that integrate magnetic mixing, separation and detection on a single device. The ....Magnetofluidic sample handling for enhanced point-of-care diagnosis. This project aims to decipher the mechanism behind recent discovery on the enhancement of mixing and separation with magnetism and to apply it to the rapid and early detection of malaria and cancer. This mechanism provides novel and unique fluid handling capabilities, which allow the development of revolutionary point-of-care diagnostic approaches that integrate magnetic mixing, separation and detection on a single device. The outcomes of this project are instrumental for the reduction of healthcare cost, promoting good health for Australian and potentially creating new jobs in the niche biomedical industry.Read moreRead less
Modelling network innovation performance capability: a multidisciplinary approach. Innovation is created in complex network interactions.
By combining agent-based and fuzzy logic modelling, this project will identify combinations of resources to generate new ideas/technologies. This will enable managers and policy makers to understand the mechanisms behind innovation and implement policies aimed at enhancing innovation processes.
Sublinear algorithms for visual analytics of extreme-scale networks. This project aims to design new sublinear algorithms for the visual analytics of extreme-scale networks, involving billions of nodes. Based on algorithmics for graph drawing, integrating sublinear algorithms and distributed algorithms, the project will introduce new quality metrics for good visualisation of extreme-scale networks, design new sublinear-time algorithms to compute good visualisation, implement them in a distribute ....Sublinear algorithms for visual analytics of extreme-scale networks. This project aims to design new sublinear algorithms for the visual analytics of extreme-scale networks, involving billions of nodes. Based on algorithmics for graph drawing, integrating sublinear algorithms and distributed algorithms, the project will introduce new quality metrics for good visualisation of extreme-scale networks, design new sublinear-time algorithms to compute good visualisation, implement them in a distributed computing environment, and evaluate with a real world social network and biological network data sets. The new algorithms produced by this project will be used in the next generation visual analytic tools for extreme-scale data to enable analysts develop new insights and new knowledge of extreme-scale data.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160101101
Funder
Australian Research Council
Funding Amount
$348,741.00
Summary
Single-Molecule Circuitry for Nanoscale Electronic Devices. The aim of this project is to develop novel methods for forming robust single-molecule circuitry. The use of single molecules in electronics represents the next level of miniaturisation of electronic components, which would enable us to meet the expanding demands of modern technologies and to continue the downscaling trend in electronic devices. This project aims to address the requirements needed to translate single-molecule electronic ....Single-Molecule Circuitry for Nanoscale Electronic Devices. The aim of this project is to develop novel methods for forming robust single-molecule circuitry. The use of single molecules in electronics represents the next level of miniaturisation of electronic components, which would enable us to meet the expanding demands of modern technologies and to continue the downscaling trend in electronic devices. This project aims to address the requirements needed to translate single-molecule electronics from its current status as a fundamental tool to real-world applications. Key approaches will be the use of surface chemistry to develop new methods of wiring single molecules and the integration of robust single-molecule junctions with semiconducting electrodes. The expected project outcomes pave the way for single-molecule electronic and analytical devices.Read moreRead less
Nanoarchitectured multifunctional porous superparamagnetic nanoparticles. This project aims to develop a method for the direct detection of biomarkers based on a new class of highly porous superparamagnetic nanoparticles with peroxidase-like activity. The particles will be used as dispersible capture agents for isolating specific targets in biological samples, and electrocatalytic nanozymes for naked-eye evaluation and electrochemical detection. The project is expected to develop simple, low-cos ....Nanoarchitectured multifunctional porous superparamagnetic nanoparticles. This project aims to develop a method for the direct detection of biomarkers based on a new class of highly porous superparamagnetic nanoparticles with peroxidase-like activity. The particles will be used as dispersible capture agents for isolating specific targets in biological samples, and electrocatalytic nanozymes for naked-eye evaluation and electrochemical detection. The project is expected to develop simple, low-cost, portable devices for the analysis of exosomes and exosomal miRNA in biological samples. The future development of this technology into diagnostic devices will improve patient outcomes by enabling earlier disease diagnosis and improved monitoring of treatment.Read moreRead less
Beyond Planarity: Algorithms for Visualisation of Sparse Non-Planar Graphs. This project aims to develop new efficient algorithms to enable analysts to visually understand complex data and detect anomalies or patterns. It aims to develop visualisation algorithms for sparse non-planar graphs arising from real-world networks. Specifically, the project plans to investigate structural properties of sparse non-planar topological graphs such as k-planar graphs, k-skew graphs, and k-quasi-planar graphs ....Beyond Planarity: Algorithms for Visualisation of Sparse Non-Planar Graphs. This project aims to develop new efficient algorithms to enable analysts to visually understand complex data and detect anomalies or patterns. It aims to develop visualisation algorithms for sparse non-planar graphs arising from real-world networks. Specifically, the project plans to investigate structural properties of sparse non-planar topological graphs such as k-planar graphs, k-skew graphs, and k-quasi-planar graphs, and design efficient testing algorithms, embedding algorithms, and drawing algorithms. These algorithms will be evaluated with real-world social networks and biological networks. New insights into the mathematical interplay between combinatorial and geometric structures would provide a theoretical foundation for a new generation of complex network visualisation methods with potential applications in social networks, systems biology, health informatics, finance and security.Read moreRead less