Our researchers work across multiple research areas within Operations Research and Computational Analytics, including:

  • discrete event simulation
  • dynamic programming
  • inverse problems
  • machine learning
  • mixed-integer linear programming
  • multi-objective optimisation
  • multicriteria decision making
  • network optimisation
  • nonlinear optimisation
  • stochastic programming
  • time series analytics
  • uncertainty quantification

We also engage with multiple industry sectors to apply our expertise in practice. To find out more please browse our research (by area or industry application) or visit our research project gallery.