Click on any of the completed projects listed below for more information.
Models and Extensible Architecture for Adaptive Middleware Platforms (AMP) project aims to develop novel middleware technology that augments existing standards-based application server technologies with adaptive capability.
Advanced Nonlinear Gradient Methods
The Advanced Nonlinear Gradient Methods Project will provide automated ways to index, filter, correlate and interpret sensory signals to turn data into knowledge.
Automated Structure Extraction
Broadband to the user (B2U) project focused on developing technologies related to PONs that are truly broadband and affordable for people wherever they live and whatever their budget. We call this dream system “BudgetPON”.
Component Architectures for Microkernel-based Emebedded Systems
The Component Architectures for Microkernel-based Embedded Systems (CAmkES) project aims to create a quick catalogue solution for embedded systems. Creating new component technology will increase the reliability of embedded systems and decrease the cost.
The Road Safety: Driver Drowsiness Detection project aims to develop a set of measurable indicators or metrics for driver drowsiness that could help in the design of alerting devices.
Dynamic Planning and Optimisation
The DPOL Project is conducting fundamental and applied research into operations/project level planning, with an emphasis on integrating methods from machine learning and optimisation. This four way collaboration between DSTO, University of South Australia, and University of Adelaide has been particularly successful at dealing with uncertainty in planning.
FM for Performance EvaluationThe Formal Methods for Performance Evaluation of Wireless Network Applications (PEWNA) project aims to make advanced formal verification techniques available to designers of wireless sensor network applications and protocols. Applications and case studies will drive research on notations, methods and tools useful for the wireless domain.
Fundamental Limits of WirelessWireless communication is limited by physics. Small devices must exploit environmental adversity to give them an advantage. The Fundamental Limits of Wireless (FLoW) project explores the limits of spatial diversity in wireless communication.
The Hierarchical Abstract Learner project is building an automatic reasoning system based on higher order logic.
The Last Metre Problem (LaMP) Project, is mainly concerned with the short range information transfer by means of wireless communication. The information transfer for such applications is limited by the available resources, such as bandwidth, power and space.
Machines operating in unstructured, real-world environments is the vision of many artifical intelligence researchers. Although humans effectively filter out important information from vast sensory data and learn from their experience, researchers as yet cannot match this level of performance artificially.
The Learning and Representation (LEAR) program aims to develop software which will help the military make superior battle decisions and also be applicable in areas such as movies and video games.
LIXI Business Processes
This project focused on standardising and streamlining the business processes of the Australian home loan industry, cutting costs and providing quicker responses to customers.
Macro-programming for Wireless Sensor Networks
This project targets to overcome the difficulties associated with WSN programming by introducing the right abstraction models and tools to program WSN at the global, network level, not at the currently-practiced node level. This kind of programming dubbed “macro-programming” by the WSN research community will help describe the global desired behaviour of the system along with high level restrictions on metrics such as energy consumption, delay, accuracy, and robustness, and automatically produce node-level code to be executed at individual sensor nodes.
Managing and Monitoring the Internet
The Managing and Monitoring the Internet (MAMI) project takes an innovative approach to development of technologies that provide cost-effective performance monitoring of core networks at the physical and the protocol layers.
The Office in a Box Project is about the efficient transport of combined IP telephony (VoIP) and data applications over wireless (long delay or lossy) links.
The purpose of this project is to build a toolkit which assists in the creation, use and maintenance of ontologies.
Situation Awareness by Inference and Logic
Development of a system that uses formal logic to answer questions about the objects and events of a situation, and issue alerts when it recognises factors of interest emerging in the situation, providing decision makers with better situation awareness.Smart Cars
The purpose of the Smart Cars project is to use computer technology, particularly image analysis, to make for a safer driving experience.
This project developed a formal specification for the important TCP/IP protocols that underlie the modern internet.
Video Analysis for Surveillance
The Video Analysis and Content Management for Surveillance (VACMS) project aims to develop intelligent video surveillance systems that can recognise specific events by understanding their context and make a note of them or alert the operator.
Visualisation of Complex Networks
The Visualisation and Analysis of Large and Complex Networks (VALACON) project aims to design, implement and evaluate effective and efficiant visualization, analysis, interaction methods for large and complex networks, such as terrorist telephone call networks and biological networks.
The Water Information Networks (WIN) project will establish capability in the area of water management through the use of sophisticated wireless sensor network technology and high performance distributed control software.
The xQoS project has the dual goal of developing improved Quality of Service (QoS) mechanisms for the Internet and a virtual lab called IREEL for experimenting with computer networks over a web interface.