Intelligent Computing (IC) aims at developing computational, social and interactive systems that exhibit aspects of intelligent behaviour. Such intelligent systems are built using methods and techniques derived from classical artificial intelligence, evolutionary and adaptive computing, bio-inspired computing, computational intelligence, multi-agent systems and advanced human computer interaction. Sample application areas of IC include optimisation, planning, scheduling, resource allocation, pattern recognition, data mining, networked and distributed system management, virtual environments and computer supported co-operative work in business, enterprise and engineering domains.
The IC theme aims to significantly advance science and technology in Intelligent Computing, and deliver high-quality research results, impact-making technology solutions and novel applications to industry and government collaborators. The CITR Research Programs contribute their core research capabilities in different disciplines and research areas to IC.
The CITR Research Programs contribute their core research capabilities in different disciplines and research areas to IC.
Research Areas
Based on the internationally competitive expertise of CITR researchers and programs, the IC theme covers a wide range of research areas, including:
Collective optimisation and problem solving
E-service and Web intelligence
Intelligent multi-agent systems
Information extraction, fusion and retrieval
Data mining and knowledge discovery
Social networks and service grids
Autonomic and adaptive computing
Intelligence in cooperative information systems, groupware and workflows, virtual enterprises
Intelligent applications in e-business, e-commerce, e-health,
e-science, e-government
Selected R & D Projects
Followings are samples of research projects carried out by research programs under the IC theme:
Hierarchical Optimisation performs global optimisation of complex systems that may also have their own local optimisation strategies. This has already been applied to scheduling complex industrial processes in collaboration with an Industry Partner. (commercial in confidence)
Anomaly Detection seeks to identify unusual events in complex high-volume information environments where anomalies typically cannot be detected locally requiring instead detection at the system level. This is undertaken in collaboration with an Industry Partner. (commercial in confidence)
Linkage Analysis Software Development (commercial-in-confidence)
Adaptive Service Agreement and Process Management in Services Grids develops agent-based technology solutions for flexible, dynamic and robust management of service-oriented application provision processes to ensure collective functionality, end-to-end QoS and stateful coordination of complex services. It is undertaken in collaboration with DSTO, EIN and Telstra.
Services Environment Network for Virtual Organisations focuses on an agent-based service-oriented infrastructure to support construction and management of new collaborative environments for virtual organisations that can be provided on-demand in a variety of end-user applications including e-business, e-learning, e-health and e-government services. It is undertaken in collaboration with EIN.
Smart Information Environments aims at providing intelligent agent-based and service-oriented solutions for complex enterprise systems. This is undertaken in collaboration with DSTO. (commercial in confidence)
Adaptive software architectures - To develop a framework for engineering software systems that dynamically adapt to changes in requirements and environments.
Rule/pattern-based composition of service oriented systems - To develop a framework for rule/pattern-guided interactive composition of service oriented systems. It is undertaken in collaboration with Chinese Academy of Sciences Institute of Computing Technology.
Agent-Enabled Social Networks
Agent-based Coordination and Negotiation Technologies for Decentralised Service Workflow Management
Collaboration
Research conducted in the IC theme is supported by a wide range of research grants, strategic partnership arrangements and industrial R&D projects. Funding sources include the Australian Research Council (ARC), the Australian Commonwealth Department of Education, Science and Training (DEST), and other government agencies and industrial organisations.
The research programs under the IC theme conduct research in close collaboration with industry and research partners nationally and internationally, delivering scientifically advanced and industry relevant outcomes. Some of our past and present collaborators include the EU FP6 Adaptive Services Grid Consortium, Attorney-General's Department D, Chinese Academy of Sciences, Visy, Defence Science and Technology Organisation, Telstra Corporation, Everyday Interactive Networks.
We value continuing and expanded collaboration with existing and new research and industry partners.
