Monash Optimisation Group, Department of Data Science and Artificial Intelligence

This group is recognised for its strong links between theory and practice, fuelled by their excellent connections with the broader research community and industry partners. They are working on both targeted and generic solving techniques to address complex discrete optimisation problems. Their team is focused on research that helps users: a) model and solve problems more easily; b) interrogate the system regarding the provided solution; and, c) interactively re-optimise based on additional user information; following the “human-in-the-loop” approach to Discrete Optimisation.

Facilities: The group has local hardware clusters for specific projects and uses MonARCH for large benchmarks. They work closely with colleagues in the Immersive Analytics lab and the Woodside Future lab on projects combining optimisation and user interaction.

Contact: Prof. Peter J. Stuckey, Group Lead,,