Optimisation is a key area of Data Science that focuses on finding optimal solutions to the many complex, multi-decision problems that occur in our society.

The Optimisation research group at Monash IT is recognised for its strong links between theory and practice, fuelled by our excellent connections with the broader research community and industry partners.

Our researchers are working on both targeted and generic solving techniques to address complex discrete optimisation problems, with the view to making optimisation technologies more widely accessible, across a range of applications. In particular, our team is focused on research that helps users (a) model and solve these problems more easily, (b) interrogate the system regarding the provided solution, and (c) interactively re-optimise based on additional user information. In this way, it has a “human-in-the-loop” approach to Discrete Optimisation that makes our team quite unique.