Reducing flood loss - A data-assimilation framework for improving forecasting capability in sparsely gauged regions. Floods are the biggest and severest natural disaster we face year after year. Furthermore, there has been little improvement in our capability to prevent flood damage over past decades. This research proposes a paradigm shift in the way flood forecasting, warning and evacuation proceeds, using 21st century technologies for collecting and incorporating flood related data into exist ....Reducing flood loss - A data-assimilation framework for improving forecasting capability in sparsely gauged regions. Floods are the biggest and severest natural disaster we face year after year. Furthermore, there has been little improvement in our capability to prevent flood damage over past decades. This research proposes a paradigm shift in the way flood forecasting, warning and evacuation proceeds, using 21st century technologies for collecting and incorporating flood related data into existing modelling platforms. It is argued that assimilating real-time satellite soil moisture data into flood models can increase accuracy manifold, even if the images are uncertain. The understanding gained in course of the proposed project has the potential to significantly reduce the damage caused year after year, especially in the data poor regions of the world.Read moreRead less
What drives parasite spread through social networks: lessons from lizards. Australia's biodiversity is continually threatened by new epidemics of local and foreign diseases and parasites. This project will enhance our understanding of how these diseases spread, allowing more effective controls to be developed to protect wildlife species, animal populations and, ultimately, Australian ecosystems.
Parasite transmission through social networks in the pygmy bluetongue lizard. Australia's biodiversity is continually threatened by new epidemics of diseases and parasites, some local, others from overseas. This project will provide information on how they spread so that more effective management of these diseases can be developed to protect wildlife species, animal populations and, ultimately, Australian ecosystems.
View-based processing of pattern matching queries in large graphs. Graph data exist ubiquitously in modern information systems. Graph pattern matching (GPM) finds parts of the data graph that match a given pattern. It has applications in many areas including knowledge discovery, public health, and crime detection. This project will develop novel techniques for the efficient processing of GPM queries in large graphs.
Development of an 'ageing household' model for assessing medium to long-term vaccine impact in populations. As birth rates in developed and newly industrialising countries fall, so too do the number of households containing children, with implications for the spread of infections in families. We aim to study the influence of this phenomenon on the risk of common childhood infections, and the length of time that vaccines given in infancy will protect.
Cuckoo - host coevolution: a model system for investigating the impact of climate change on interspecific interactions and biodiversity. Climate change is causing alterations to the timing of breeding and migration in Australian birds, resulting in mismatches in timing between closely interacting species. This project will assess the impact of climate change on interactions between parasitic cuckoos, hosts and prey and formulate predictions about the long-term viability of these species.
A novel approach for controlling insect vectors of human disease. Insects are responsible for transmitting a wide variety of debilitating human diseases such as malaria, dengue and yellow fever. Unfortunately, there are very few options available for controlling these insect pests. This project will develop a novel, eco-friendly approach for control of mosquitoes and other important disease vectors.