Defence Science and Technology Group
(DST Group)
The Defence Science and Technology Group is part of Australia's Department of Defence. It is the second largest public-funded R&D organisation in Australia.
DST Group has consistently been an active ACEMS collaborator over the past three years, pursuing numerous research projects and attending ACEMS Annual Retreats and other engagement events.
ACEMS has provided us an access point to a wide range of subject matter experts from across the Australian University sector and has facilitated our ongoing research into Uncertainty Quantification and Emergent Behaviour. We look forward to continuing this research into 2020.
Wayne Power, Defence Science and Technology Group
DST’s Guy Blucher presenting at the 2019 ACEMS Retreat
In 2019, DST Group has:
- Been an active research collaborator and participant at ACEMS’ Annual Retreat, with Guy Blucher delivering an industry presentation.
- Completed industry research projects with ACEMS collaborators on:
- “Quantifying and communicating the impact of uncertainty in complex systems modelling, simulation and analysis” led by Associate Investigator Dr Gentry White (QUT), Associate Investigator Dr Rachael Quill (UoA), and PhD student James Walker (UoA)
- “Assessing solution quality for sequential stochastic optimisation problems” led by three Associate Investigators – Dr Mark Fackrell, Dr Lele (Joyce) Zhang and Dr Guoqi Qian – all from The University of Melbourne.
- Hosted ACEMS researchers, including Chief Investigator Professor Kate Smith-Miles who delivered a presentation on research capabilities and participated in a workshop with DST Group.
- Submitted three industry research projects with ACEMS collaborators for funding under the ICSS, to build on and extend earlier research. The two successful ICSS applications were for the following industry research projects:
- “A generalised framework for characterising uncertainty in complex systems to enable quantification of extrinsic mathematical uncertainty in defence and emergency services” led by Associate Investigator Dr Rachael Quill (UoA) in collaboration with Associate Investigator Dr Gentry White (QUT)
- “Assessing solution quality of sequential stochastic optimisation problems” with the aim of improving decision-support capabilities including for fleet management, led by UoM Associate Investigators Dr Mark Fackrell, Dr Lele (Joyce) Zhang and Dr Guoqi Qian.