Algorithmic and computational advances in geometric group theory. This project aims to combine new algorithmic ideas, high performance computing and experimental mathematics to answer many outstanding questions in the field of geometric group theory. This project will put Australia at the forefront of new computer-assisted research, and give new insights into complex mathematical problems.
Algorithmics for visual analytics of massive complex networks. The project will provide new scalable algorithms for visual analytics of massive complex networks. These fast algorithms will enable security analysts to detect abnormal behaviours such as money laundering, biologists to understand protein-protein interaction networks, and support software engineers new ways of understanding large software systems.
Prediction of tissue fate and functional outcome in acute ischemic stroke with advanced imaging analysis - experimental validation and translational studies. Stroke is predominantly a disease of ageing and the commonest cause of adult disability. In Australia, 55,000 people have a stroke each year (>80% are over age 65). The total number of strokes per year worldwide will rise 60% within the next two decades as the proportion of elderly in our population increases. This research will improve bra ....Prediction of tissue fate and functional outcome in acute ischemic stroke with advanced imaging analysis - experimental validation and translational studies. Stroke is predominantly a disease of ageing and the commonest cause of adult disability. In Australia, 55,000 people have a stroke each year (>80% are over age 65). The total number of strokes per year worldwide will rise 60% within the next two decades as the proportion of elderly in our population increases. This research will improve brain imaging selection for acute stroke therapies in clinical trials and practice. Better acute stroke therapies limit the size of brain damage from stroke and reduce long-term disability. Thus, this research will directly translate into allowing our population to 'age well and productively'.Read moreRead less
Next-generation techniques for analysing massive data sets. To process enormous amounts of data, leading computing companies are turning to modern computing frameworks, for which little theory of efficient computational techniques has been developed. This project will resolve key theoretical questions and provide fast techniques for poorly understood pattern recognition and bioinformatics problems.
Minimally invasive monitoring of sleep for disease management. Sleep, diet and exercise are the three pillars of wellbeing with poor sleep associated with medical issues such as obesity and congestive heart failure. This project will advance sleep analysis by researching new ways of monitoring that are highly accurate and convenient, enabling physicians to improve the monitoring of significant health issues.
Mining multi-typed and dynamic graphs. Large volumes of data collected nowadays from real-world applications are often represented as graphs. The nodes and the edges of such graphs represent different types of entities and interactions, and they have time information. This project will develop algorithms that mine efficiently such multi-typed and dynamic graphs.
Homomorphic cryptography: computing on encrypted data. This project is driven by the groundbreaking applications of a new cryptographic technology that allows analysis of encrypted (scrambled) data without needing to decrypt (unscramble) it first. The results of this project can be used to enable secure remote data storage, electronic auctions and voting, and protecting medical records.
Harnessing the bioactivity of proteins and polypeptides: understanding and controlling adsorption processes to optimise linker free immobilisation. This project will use physical techniques and simulations to understand the interactions of biomolecules and plasma activated surfaces, allowing control of the biomolecule layer composition, orientation and conformation. This control, together with the ability of these surfaces to "lock-in" the optimised layer, will create a new generation of biodevi ....Harnessing the bioactivity of proteins and polypeptides: understanding and controlling adsorption processes to optimise linker free immobilisation. This project will use physical techniques and simulations to understand the interactions of biomolecules and plasma activated surfaces, allowing control of the biomolecule layer composition, orientation and conformation. This control, together with the ability of these surfaces to "lock-in" the optimised layer, will create a new generation of biodevices.Read moreRead less
A Generic Solution for Interfacing Electrodes with Biological Media. Electrodes are the critical element of stimulating implantable devices such as cardiac pacemakers, bionic eyes and cochlear implants, the most commercially successful biosensors, and are emerging as key to new technologies for testing new drug leads using cells. In all these applications of electrodes in biology there has never been a solution to stopping unwanted adsorption of biological material onto the electrode that does ....A Generic Solution for Interfacing Electrodes with Biological Media. Electrodes are the critical element of stimulating implantable devices such as cardiac pacemakers, bionic eyes and cochlear implants, the most commercially successful biosensors, and are emerging as key to new technologies for testing new drug leads using cells. In all these applications of electrodes in biology there has never been a solution to stopping unwanted adsorption of biological material onto the electrode that does not dramatically decrease electrode performance. The proposed research finally provides a solution via surface modification. This strategy will enhance the performance of all the devices above and will open doors to new applications of electrochemistry within biology.Read moreRead less
Algorithms for hard graph problems based on auxiliary data. When solving computational problems, algorithms usually access only the data that is absolutely necessary to define the problem. However, much more data is often readily available. Especially for important or slowly evolving data, such as road networks, social graphs, company rankings, or molecules, more and more auxiliary data becomes available through computational processes, sensors, and simple user entries. This auxiliary data can g ....Algorithms for hard graph problems based on auxiliary data. When solving computational problems, algorithms usually access only the data that is absolutely necessary to define the problem. However, much more data is often readily available. Especially for important or slowly evolving data, such as road networks, social graphs, company rankings, or molecules, more and more auxiliary data becomes available through computational processes, sensors, and simple user entries. This auxiliary data can greatly speed up an algorithm and improve its accuracy. This project aims to design improved algorithms that harness auxiliary data to solve selected high-impact NP-hard graph problems, and will build a new empowering theory to discern when auxiliary data can be used to improve algorithms.Read moreRead less