Learning Medical Image Knowledge. We aim to develop Machine Learning and Knowledge Acquisition techniques for automated recognition of features in medical images, and to provide decision support for diagnosis from medical images. The project is innovative in its use of layered learning, where the computer first learns to recognise low-level image features that are then used to learn more complex features. The project is also innovative in combining a variety of automatic learning methods, includ ....Learning Medical Image Knowledge. We aim to develop Machine Learning and Knowledge Acquisition techniques for automated recognition of features in medical images, and to provide decision support for diagnosis from medical images. The project is innovative in its use of layered learning, where the computer first learns to recognise low-level image features that are then used to learn more complex features. The project is also innovative in combining a variety of automatic learning methods, including relational learning, with human-assisted knowledge acquisition methods. The expected outcomes will be new techniques for image understanding, particularly for our test domain, namely, High Resolution Computed Tomography scans of the lung.Read moreRead less
Pattern Recognition and Scene Analysis via Machine Learning. We plan to use kernel methods, a novel machine learning technique, for computer vision problems, such as scene analysis and real time object recognition. Such capabilities are relevant for the design of intelligent and adaptive systems, suitable for complex real world environments. Expected outcomes are the design of efficient statistical tools which take the special nature of visual data into account (structure, decomposition, prior ....Pattern Recognition and Scene Analysis via Machine Learning. We plan to use kernel methods, a novel machine learning technique, for computer vision problems, such as scene analysis and real time object recognition. Such capabilities are relevant for the design of intelligent and adaptive systems, suitable for complex real world environments. Expected outcomes are the design of efficient statistical tools which take the special nature of visual data into account (structure, decomposition, prior knowledge of physical environments, etc.) and combine the advantages of feature based high-level vision methods with low-level machine learning techniques.
This proposal is part of a joint IST project with partners from the European Union.Read moreRead less
Feature Detection and Computer-aided Diagnosis with Longitudinal Tracking of Benign Asbestos-Related Pleural Disease in CT images. This project seeks to develop smart and novel feature extraction and knowledge acquisition techniques to assist radiologists in automated diagnosis and assessment of lung diseases. These outcomes will lead to improved delivery of health services in Australia, including in rural regions. They will lead to more accurate assessment of asbestos related pleural diseases f ....Feature Detection and Computer-aided Diagnosis with Longitudinal Tracking of Benign Asbestos-Related Pleural Disease in CT images. This project seeks to develop smart and novel feature extraction and knowledge acquisition techniques to assist radiologists in automated diagnosis and assessment of lung diseases. These outcomes will lead to improved delivery of health services in Australia, including in rural regions. They will lead to more accurate assessment of asbestos related pleural diseases for compensation and treatment and better followup, leading to earlier treatment and better quality of life for patients suffering from lung diseases. The project will also save costs due to automated assessment as well as the potential for fewer patient scans.Read moreRead less
Towards Invisibly Intelligent Appliances via Experience-based Computing. As computers become more pervasive, people will inevitably interact with a wide range of networked appliances. This proposal aims to develop prototype enabling technology to allow appliances to operate cooperatively and seamlessly with minimum human input - 'invisible intelligence'. Experience-based computing is the key concept underlying the technology. A prototype 'operating experience' will be developed to sit on top of ....Towards Invisibly Intelligent Appliances via Experience-based Computing. As computers become more pervasive, people will inevitably interact with a wide range of networked appliances. This proposal aims to develop prototype enabling technology to allow appliances to operate cooperatively and seamlessly with minimum human input - 'invisible intelligence'. Experience-based computing is the key concept underlying the technology. A prototype 'operating experience' will be developed to sit on top of existing operating systems that will allow appliances to join and leave networks, and interact with other appliances. Also to be developed are a modeling framework, language and methodology for specifying appliance behaviour, and allow learning from experience.Read moreRead less
Open Agent Architectures for Intelligent Distributed Decision Making. Sophisticated software systems are part of the essential infrastructure of our daily lives. Complex systems such as the internet, finance, or telecommunications software cannot have a centralised point of control or a single developer. The aim of this project is to develop an architecture and support infrastructure enabling intelligent agents to locate and use services in such open systems. The fundamental questions that must ....Open Agent Architectures for Intelligent Distributed Decision Making. Sophisticated software systems are part of the essential infrastructure of our daily lives. Complex systems such as the internet, finance, or telecommunications software cannot have a centralised point of control or a single developer. The aim of this project is to develop an architecture and support infrastructure enabling intelligent agents to locate and use services in such open systems. The fundamental questions that must be addressed include issues such as how agents will find and use newly added services and how services will communicate with each other, given that they are developed independently.Read moreRead less
High Performance Firewalls for Network Security. This project aims to improve the accuracy and efficiency of firewall systems for defending the security of large networks. The role of a network firewall is to detect and block unauthorised network traffic. Our industry partner, IntelliGuard, is developing a parallel system architecture for firewalls, which will provide sufficient processing capacity to support more sophisticated traffic analysis in high speed networks. Our aim is to develop paral ....High Performance Firewalls for Network Security. This project aims to improve the accuracy and efficiency of firewall systems for defending the security of large networks. The role of a network firewall is to detect and block unauthorised network traffic. Our industry partner, IntelliGuard, is developing a parallel system architecture for firewalls, which will provide sufficient processing capacity to support more sophisticated traffic analysis in high speed networks. Our aim is to develop parallel algorithms for traffic analysis and load balancing that can exploit the capacity of these new firewalls. This project provides an excellent opportunity for an Australian company to compete in the growing security market.Read moreRead less
Defending Against Attacks on Internet-Based Telephone Services (Voice Over IP). The telephone network is a critical platform for communication, used by all levels of society - government, the private sector and the general public. The shift to telephone services based on voice-over-IP technology holds the promise of significantly reducing costs for communication services. However, the Internet has long been plagued by a variety of network attacks. Reports of denial-of-service attacks, viruses an ....Defending Against Attacks on Internet-Based Telephone Services (Voice Over IP). The telephone network is a critical platform for communication, used by all levels of society - government, the private sector and the general public. The shift to telephone services based on voice-over-IP technology holds the promise of significantly reducing costs for communication services. However, the Internet has long been plagued by a variety of network attacks. Reports of denial-of-service attacks, viruses and break-in attempts frequently appear in the world news. A major impediment to confidence in voice-over-IP services is the risk of attacks on its infrastructure, and the potential for using weaknesses in voice-over-IP infrastructure to launch attacks on the existing telephone network.Read moreRead less
Robust next-generation detection techniques to defend operational networks against attacks. As networks are fast becoming one of the pillars of our society, network security is essential.
Without good security, networks will be unreliable, more costly, and restricted in the capabilities they can offer. The project will allow advanced anomaly and intrusion detection techniques to be used in the ultra-high speeds of the Internet core. It will provide the groundwork for the attack detection and p ....Robust next-generation detection techniques to defend operational networks against attacks. As networks are fast becoming one of the pillars of our society, network security is essential.
Without good security, networks will be unreliable, more costly, and restricted in the capabilities they can offer. The project will allow advanced anomaly and intrusion detection techniques to be used in the ultra-high speeds of the Internet core. It will provide the groundwork for the attack detection and prevention infrastructure of the future. Read moreRead less
Planning and Learning in BDI Agents. Intelligent agents are becoming increasingly important in a range of complex and dynamic applications. BDI agent systems are extremely successful robust and flexible, in real time applications. However they are not actually able to do any traditional planning. Nor do they incorporate learning. This project will incorporate learning and planning capabilities into a BDI system framework, in a focussed and integrated manner that allows benefits from these approa ....Planning and Learning in BDI Agents. Intelligent agents are becoming increasingly important in a range of complex and dynamic applications. BDI agent systems are extremely successful robust and flexible, in real time applications. However they are not actually able to do any traditional planning. Nor do they incorporate learning. This project will incorporate learning and planning capabilities into a BDI system framework, in a focussed and integrated manner that allows benefits from these approaches where appropriate, but without compromising the real-time capability of existing BDI systems. Learned information and new plans will then be fully incorporated for later use by the standard BDI mechanisms.Read moreRead less
Ontology-based agent-oriented development methodologies. Establishing an industry strength unified agent-oriented methodology which focuses on interoperability and reusability will create stronger commitment to the new technology and stability in the commercial sector in Australia. Our methodology will create significant potential for Australian software companies, due to the added productivity and long term customer satisfaction through reusability, interoperability and pay-off of the developed ....Ontology-based agent-oriented development methodologies. Establishing an industry strength unified agent-oriented methodology which focuses on interoperability and reusability will create stronger commitment to the new technology and stability in the commercial sector in Australia. Our methodology will create significant potential for Australian software companies, due to the added productivity and long term customer satisfaction through reusability, interoperability and pay-off of the developed systems. This not only brings profits to Australian companies through the exploitation of this frontier technology, but also enhances the standard of living through increased satisfaction of the Australian public in their increasing use of software as they interact with today's computer-controlled world.Read moreRead less