Memetic algorithms for multiobjective optimisation problems in bioinformatics. Many questions of paramount importance in life sciences can be formulated as optimisation problems but using just a single criterion can be misleading. This project will address this problem using multiobjective optimisation and leveraging Australia's investment in supercomputing with algorithms that mimic evolutionary processes in silico.
Development of methods and algorithms to support multidisciplinary optimisation. This project will aim to develop a number of novel and computationally efficient schemes to deal with the key challenges facing multidisciplinary optimisation. These advancements will allow us to solve a number of challenging and intractable problems in science and engineering.
Cyber-Physical Security Analyses and Enhancing the Resilience of Smart Grid. The electrical power industry in Australia is undergoing a massive revolution to an intelligent, low-carbon and sustainable smart grid environment. However, due to the heavy reliance on cyber infrastructure and the intermittence of renewables, smart grid will inevitably introduce new security issues, for example, cyber security. This project is to investigate emerging security issues together in a comprehensive framewor ....Cyber-Physical Security Analyses and Enhancing the Resilience of Smart Grid. The electrical power industry in Australia is undergoing a massive revolution to an intelligent, low-carbon and sustainable smart grid environment. However, due to the heavy reliance on cyber infrastructure and the intermittence of renewables, smart grid will inevitably introduce new security issues, for example, cyber security. This project is to investigate emerging security issues together in a comprehensive framework where quantitative models and analysis methods will be explored for smart grid cascading failure analyses. Then innovative three-stage reinforcement strategies (three lines of defence) will be developed to enhance the resilience of smart grid against natural disasters and intentional attacks, and potential large blackouts. Read moreRead less
Quantifying the impact of phenotypic plasticity on population persistence. This project aims to understand how environmental sensitivity in growth, survival and reproduction of individuals in a population influence population dynamics using terrestrial ectotherms. It will provide significant new insights into whether phenotypic plasticity promotes population persistence in the face of environmental change. Expected outcomes include approaches for incorporating environmental effects in population ....Quantifying the impact of phenotypic plasticity on population persistence. This project aims to understand how environmental sensitivity in growth, survival and reproduction of individuals in a population influence population dynamics using terrestrial ectotherms. It will provide significant new insights into whether phenotypic plasticity promotes population persistence in the face of environmental change. Expected outcomes include approaches for incorporating environmental effects in population models for threatened species, open databases that can be used to estimate demographic information for species lacking data, and an assessment of what characteristics make some species more sensitive to the environment than others. Benefits include quantitative training and tools for managing Australia's rich biodiversity.Read moreRead less
The role of genome reorganisation in adaptation and speciation. Local adaptation and speciation are fundamental evolutionary processes that rely on changes to the genome. However, the role of genome architecture (e.g. chromosomal rearrangements, gene duplications) in driving these processes is poorly understood. This project will use advanced comparative genomics and bioinformatics to examine the role of chromosome rearrangements in driving adaptation and speciation, and evaluate rates of molec ....The role of genome reorganisation in adaptation and speciation. Local adaptation and speciation are fundamental evolutionary processes that rely on changes to the genome. However, the role of genome architecture (e.g. chromosomal rearrangements, gene duplications) in driving these processes is poorly understood. This project will use advanced comparative genomics and bioinformatics to examine the role of chromosome rearrangements in driving adaptation and speciation, and evaluate rates of molecular evolution between the X-chromosome and autosomes. Utilising Australia’s endemic mammalian fauna as a tractable model system, I will link population processes with macro-evolutionary outcomes to show how genome architecture underpins biodiversity.Read moreRead less
Robust Quantum Control in the Noisy Intermediate-Scale Quantum Era. This project aims to help companies and government flagships (including Australian) to achieve quantum supremacy- to build a computer based on quantum physics so complex that it outperforms all conventional computers. There is a race to do so because quantum computers will have a huge technological, scientific and economical impact. But currently the error rate of quantum computers is still too high. The devices are immensiley c ....Robust Quantum Control in the Noisy Intermediate-Scale Quantum Era. This project aims to help companies and government flagships (including Australian) to achieve quantum supremacy- to build a computer based on quantum physics so complex that it outperforms all conventional computers. There is a race to do so because quantum computers will have a huge technological, scientific and economical impact. But currently the error rate of quantum computers is still too high. The devices are immensiley complex, but the models used to drive them are far too simplistic. This project will provide accurate and innovative models in this new era of quantum complexity, thus better controls, which will be tested on cloud-based quantum computers. The expected outcomes are robust quantum computers towards quantum supremacy.Read moreRead less
Algorithms and data structures to support automated analysis of trajectory data. The emergence of a variety of tracking devices, surveillance systems and even electronic transaction and phone networks has resulted in the production of large amounts of positional information for vehicles, people and animals. The aim of the project is to develop tools that support automated analysis of such data sets.
Untangling environmental effects on bee health in the face of Varroa . This project aims to assess bee health, disease and evolution in European honeybees and bumblebees. Bee viruses transmitted by the destructive Varroa mite cause worldwide pollinator declines. Factors determining bee health will be identified across Australia, New Zealand and the United Kingdom, which differ in Varroa impact and bee introduction histories. Harnessing Australia’s currently threatened Varroa-free status, the bum ....Untangling environmental effects on bee health in the face of Varroa . This project aims to assess bee health, disease and evolution in European honeybees and bumblebees. Bee viruses transmitted by the destructive Varroa mite cause worldwide pollinator declines. Factors determining bee health will be identified across Australia, New Zealand and the United Kingdom, which differ in Varroa impact and bee introduction histories. Harnessing Australia’s currently threatened Varroa-free status, the bumblebee invasion in Tasmania, and cutting-edge multi-omics techniques (for microbiomes, viruses and genomes), predictors of disease dynamics will be identified for two globally important bee pollinators. The project outcomes will boost Australia's capacity to manage threats to pollination services at landscape scales.Read moreRead less
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.
Reasoning about, and stepwise development of, quantum programs: a predicate transformer semantics approach. The project will provide a framework to reason about, and stepwise develop, quantum programs by rigorous predicate transformer semantics, and generate breakthrough theory and frontier techniques for quantum software engineering.