Privacy Preserving Data Mining as Autonomous Data Analysis Expands into Safeguarding from Threats like Crime and Terrorism. In a world characterized by digitally coded data, Data Mining allows automatic exploration of huge numbers of personal records for target marketing, as well as demographic, medical and criminal research. Investigations into terrorist attacks use this technology, but a balance with privacy protection is necessary. Even if names and unique identifiers are removed, computer me ....Privacy Preserving Data Mining as Autonomous Data Analysis Expands into Safeguarding from Threats like Crime and Terrorism. In a world characterized by digitally coded data, Data Mining allows automatic exploration of huge numbers of personal records for target marketing, as well as demographic, medical and criminal research. Investigations into terrorist attacks use this technology, but a balance with privacy protection is necessary. Even if names and unique identifiers are removed, computer methods can be used to infer confidential information about individuals. This project develops new techniques to ensure privacy and alleviate public concerns such as secondary use of personal data. We shall develop new methods for replacing original data with data that exhibits approximately the same patterns, but conceals sensitive data.Read moreRead less
Improved image analysis: maximised statistical use of geometry/shape constraints. This project will improve image analysis to apply such applications as 3D street-scape reconstruction, synthetic inserts into video for special effects, autonomous navigation, and scene understanding. It will do so by maximally exploiting the geometry of planar surfaces (e.g. walls) and straight lines and other simple geometric shapes.
Smart Glasses: activity recognition for cognitive aid. The project aims to develop an automatic activity recognition system for cognitive aid of dementia and stroke victims. The ‘Smart Glasses’ system will be based on sensors embedded in glasses and machine learning techniques to automatically detect the activity being performed by a patient, and provide feedback. Sufferers will regain independence and autonomy by improving safety awareness around the home; carers will be provided real-time info ....Smart Glasses: activity recognition for cognitive aid. The project aims to develop an automatic activity recognition system for cognitive aid of dementia and stroke victims. The ‘Smart Glasses’ system will be based on sensors embedded in glasses and machine learning techniques to automatically detect the activity being performed by a patient, and provide feedback. Sufferers will regain independence and autonomy by improving safety awareness around the home; carers will be provided real-time information of patient safety status or adverse events; rehabilitation professionals will be able to use feedback to refine a patient’s program and maximise quality and safety of ambulatory rehabilitation care; and patients will improve rehabilitation outcomes through tailored treatment.Read moreRead less
An integrated model for assessing health effects of nanoparticle inhalation. This project aims to examine the associated risks of nanoparticle inhalation on heath by developing a toxicological predictive tool for health risk assessment. The outcomes of this research will lead to greatly improved preventative measures, thereby reducing occupational diseases and the health socio-economic burden of Australia.
A Multiscale Modelling Platform for Nanoparticle Inhalation Risk Assessment. This project aims to explore the health risks caused by nanoparticle inhalation and its penetration through respiratory mucus and tissue cells. Exposure to nanoparticles has the potential to cause serious and possibly fatal health effects. An understanding of nanoparticle toxicology would enable us to appropriately protect the public’s health and safety. The project plans to consider human respiratory anatomy and physio ....A Multiscale Modelling Platform for Nanoparticle Inhalation Risk Assessment. This project aims to explore the health risks caused by nanoparticle inhalation and its penetration through respiratory mucus and tissue cells. Exposure to nanoparticles has the potential to cause serious and possibly fatal health effects. An understanding of nanoparticle toxicology would enable us to appropriately protect the public’s health and safety. The project plans to consider human respiratory anatomy and physiology and use advanced computer modelling and experimental techniques to evaluate the health risk of exposure to the burgeoning number of nanomaterials found in consumer products. The expected outcome of the project is a predictive tool that determines nanoparticle exposure risk and its health consequences.Read moreRead less
I sense, therefore I help: Towards homes that sense and support the aged and infirm. The overall goal is to produce technologies that will enable the home to be a ?intelligent, caring advisor? and provide operational effectiveness for people with decreasing functional capacity (eg aged). It can monitor and support activities of varying complexity without compromising a normal lifestyle, enabling people of varying abilities to be independent, whilst being cared for by their homes. This caring wi ....I sense, therefore I help: Towards homes that sense and support the aged and infirm. The overall goal is to produce technologies that will enable the home to be a ?intelligent, caring advisor? and provide operational effectiveness for people with decreasing functional capacity (eg aged). It can monitor and support activities of varying complexity without compromising a normal lifestyle, enabling people of varying abilities to be independent, whilst being cared for by their homes. This caring will range from advice systems for detecting hazardous situations and alerting the user, through to detecting subtle deviations from complex, normal activities over significant periods of time (such as caused by the onset of an illness).Read moreRead less
Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the ....Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the early detection and warning of cyberbullying and approach open a new way to discover interaction patterns with a large number of participants over evolving and complex social networks.Read moreRead less
Detecting and Understanding Dysfunctional Anomalies in Queensland Healthcare Databases. Healthcare systems are large complex organizations that are required to function effectively and efficiently. As the main healthcare provider of the state, Queensland Health faces significant challenges in managing the complexity of its operations. This project will use visualization and data mining techniques to support Queensland Health in effective utilisation of its information and communications technolo ....Detecting and Understanding Dysfunctional Anomalies in Queensland Healthcare Databases. Healthcare systems are large complex organizations that are required to function effectively and efficiently. As the main healthcare provider of the state, Queensland Health faces significant challenges in managing the complexity of its operations. This project will use visualization and data mining techniques to support Queensland Health in effective utilisation of its information and communications technology. Through the analysis, detection and prediction of anomalies in the system, the project will contribute to improvements in patient outcomes and efficiency of the Queensland healthcare system.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150100104
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
Towards transforming data streams into real-time knowledge. This project aims to address a key problem of interpreting and providing meaningful information in real-time from large volumes of multivariate, noisy and incomplete data in fine-scale monitoring applications. Specifically, it targets air quality monitoring within a workplace. The project aims to significantly advance the current models for online data clustering and real-time anomaly detection in streaming data. The project aims to pro ....Towards transforming data streams into real-time knowledge. This project aims to address a key problem of interpreting and providing meaningful information in real-time from large volumes of multivariate, noisy and incomplete data in fine-scale monitoring applications. Specifically, it targets air quality monitoring within a workplace. The project aims to significantly advance the current models for online data clustering and real-time anomaly detection in streaming data. The project aims to produce computational models for the two aforementioned tasks and a complete system prototype for indoor air quality monitoring. This system has major health benefits for workers and the showcased computational models have various industrial potentials with significant socio-economic benefits to Australia.Read moreRead less
Particle deposition in the human lung - Computer Aided Design. Inhaled particles can cause a variety pulmonary injuries and diseases such as asthma, bronchitis and chronic obstructive pulmonary disease (COPD) etc. A limited multiple-path model will be employed to simulate efficiencies of particle deposition in the human lung. The model developed in this work is different from other available models in that it is based on an asymmetrical branching network for first three generations. This project ....Particle deposition in the human lung - Computer Aided Design. Inhaled particles can cause a variety pulmonary injuries and diseases such as asthma, bronchitis and chronic obstructive pulmonary disease (COPD) etc. A limited multiple-path model will be employed to simulate efficiencies of particle deposition in the human lung. The model developed in this work is different from other available models in that it is based on an asymmetrical branching network for first three generations. This project aims to assist people to monitor atmospheric quantity and assess the risk of deposition of particles. A new commercial code will be developed as new marketable software packages.Read moreRead less