Complex Data Modelling

Understanding big and small complex data systems and engineering

Using innovative techniques, the Complex Data Modelling research group at UWA develops mathematical, statistical and computational methodology to support engineering projects.

The group’s research focuses on the challenges of model-building in the face of engineering data – big or small. It works with industry partners including Lloyds Register, Shell and BHP.

Research opportunities are available for students. If you would like to submit an expression of interest for a research opportunity, fill out our form or email [email protected] with any questions.

Some areas where the group’s expertise is used in solving complex problems include:

  • Statistics – addressing the challenges in applying statistical or deterministic model-based methods across the range of problems that generate big data
  • Reliability and asset management
  • Complex systems
  • Computational simulation
  • Computer vision and pattern recognition, tomography and geometric methods

Research Cluster contacts

CRICOS Code: 00126G
Updated
Tuesday, 30 October 2018 12:10 AM (this date excludes nested assets)
Feedback
[email protected]
Content ID
c924986a-a2b7-4c70-8898-6b78f84fef66