I am a member of the ANU/NICTA Diagnosis, Planning, & Optimisation Group. My interests are in artificial intelligence, particularly planning, model-based diagnosis, search, and reasoning under uncertainty. My current research focuses on developing planning and diagnosis techniques that can handle larger and more complex problems featuring uncertainty, time, and coordination among multiple entities. I have investigated applications of these techniques in the fields of robotics, intelligent transport, power distribution, and operations planning.
New ARC discovery project "Exploiting Structure in AI Planning".
NICTA project SuperCom: model-based Supervision of Composite systems. The project has developed a spectrum of powerful methods for monitoring and diagnosing distributed dynamic systems. These methods rely on decentralised reasoning, symbolic representations, and model compilation.
NICTA project DPOLP: Dynamic Planning, Optimisation and Learning Project. DPOLP has made a number of significant contributions to building tools for planning with time and uncertainty, and to bridging the gap between Petri nets analysis, planning/heuristic search in artificial intelligence, and statistical machine learning.
I am or was involved in the following
The slides of the presentation I gave in 2006 about CSL and NICTA to
prospective honours students in DCS can be found there.