Managing Complexity
Many ICT problems are difficult because of their complexity. Examples include the management and diagnosis of large systems (such as a power grid), the management of traffic in a city the size of Sydney and the construction of reliable large software systems.
NICTA researchers are inventing new ways to manage complexity through the development of efficient and reliable tools and processes. These will be used for the construction, management and optimisation of real-world complex systems. Our new techniques are being used to solve problems in areas as diverse as real-time traffic control; production scheduling for local manufacturers and automated software debugging.
The Managing Complexity Vision outlines the Managing Complexity landscape and areas in which NICTA will focus its efforts in the future to make a global impact.
Reducing the cost of doing biological experiments as well as the time taken to do them using tools that provide a more efficient way of extracting biologically relevant information from video sequences of live cells. Potentially this could lead to wider applications in the development of drug discovery and clinical screening.
Create improved understanding and technologies for organisations to work together effectively using integrated, scalable and adaptable software systems
Development of techniques for characterisation, diagnosis and assurance of health and quality formations and sensor networks, including wireless networks.
Development of improved solvers, visualisation of constraint graphs and of the software and contribution to applications for end users including Roads and Traffic Authority, NSW
Develop practical automated planning tools that can work on large problems with messy constraints such as probabilistic task failure
Automated analysis of system software
Small, smart devices collecting, interpreting, transmitting biometric data reliably to those who need it in a form they can use.
Developing technology solutions to help organisations such as freight, logistics and transportation operators better utilise their mobile assets and resources under diverse constraints.
Develop theories, efficient algorithms and tools for the supervision of composite systems represented by discrete-event models
The Smart Transport and Roads project (STaR) technologies are applied to transport and road systems
Allow XML information to be stored in a succinct representation: a space-efficient representation which maintains low access and update costs for all the desired operations. The Universal Storage Scheme Project also referred to as USS and mcontext
Develop parsimonious XML memory representations and efficient algorithms for XML query evaluation
New Web 2.0 technologies for seamless collaborative sharing and interoperability for the social web.
