Airborne spatial tracking to save endangered species. Airborne spatial tracking to save endangered species. This project aims to develop an automated and distributed spatial tracking approach using low cost Unmanned Aerial Vehicles (UAVs) to locate and study endangered wildlife. Understanding animal behaviour and habits with granular spatial data is essential to develop effective monitoring and conservation strategies. Spatial tracking of radio collared wildlife using radio telemetry is a critic ....Airborne spatial tracking to save endangered species. Airborne spatial tracking to save endangered species. This project aims to develop an automated and distributed spatial tracking approach using low cost Unmanned Aerial Vehicles (UAVs) to locate and study endangered wildlife. Understanding animal behaviour and habits with granular spatial data is essential to develop effective monitoring and conservation strategies. Spatial tracking of radio collared wildlife using radio telemetry is a critical but costly tool for acquiring this data. This project anticipates that airborne spatial tracking using intelligent spatial tracking algorithms on board low cost UAV teams will allow more precise understanding of wildlife for evidence-based conservation and management in a changing global climate.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100046
Funder
Australian Research Council
Funding Amount
$387,000.00
Summary
Fortifying our digital economy: advanced automated vulnerability discovery. This project aims to enable security researchers to detect critical vulnerabilities in large software systems with maximal efficiency, cost-effectively, and with known statistical accuracy. The aim is to develop advanced high-performance fuzzers that effectively thwart malware attacks, ransomware epidemics, and cyber terrorism by exposing security flaws before they can commence. The project will employ a well-established ....Fortifying our digital economy: advanced automated vulnerability discovery. This project aims to enable security researchers to detect critical vulnerabilities in large software systems with maximal efficiency, cost-effectively, and with known statistical accuracy. The aim is to develop advanced high-performance fuzzers that effectively thwart malware attacks, ransomware epidemics, and cyber terrorism by exposing security flaws before they can commence. The project will employ a well-established statistical framework utilised in ecology research to provide fundamental insights to boosting the efficiency of software vulnerability discovery, and on the trade-off between investing more resources and gaining better cyber security guarantees. As our reliance on new technologies is ever growing, this project equips Australia to curb cyber crime cost-effectively.Read moreRead less
Synthetic Aperture Radio Holography for High Resolution Remote Sensing. This project aims to develop fundamental theory and enabling technology for a novel radio remote sensing system using a breakthrough synthetic aperture radio holography concept. Such a system would leapfrog current capabilities to produce high-resolution, day-and-night and weather-independent 3-D images for many applications (eg geoscience and climate change research, environmental and agricultural monitoring, defence and se ....Synthetic Aperture Radio Holography for High Resolution Remote Sensing. This project aims to develop fundamental theory and enabling technology for a novel radio remote sensing system using a breakthrough synthetic aperture radio holography concept. Such a system would leapfrog current capabilities to produce high-resolution, day-and-night and weather-independent 3-D images for many applications (eg geoscience and climate change research, environmental and agricultural monitoring, defence and security-related target detection, and planetary exploration). Expected project outcomes include advanced sensing and data processing knowledge and a prototype demonstrating the developed analogue and digital hardware.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.