Computational Mathematics and Optimisation Research Group

We focus on the development of computational and mathematical methods to solve complex dynamic problems.

We use techniques from:

• symbolic computation
• exponential analysis
• metaheuristic and stochastic search methods
• multi-objective and constrained optimisation
• Bayesian inference
• differential equations

We apply our techniques in wide a range of application domains. Specific recent applications we have worked on include:

• lung and skin cancer detection
• reconstruction of disease transmission pathways
• cardiac modelling
• aircraft ground movement and runway sequencing
• automated software improvement
• staff scheduling and rostering
• direction of arrival estimation in antenna design
• fluorescence lifetime imaging

External partners and collaborators

COMMON has strong national and international connections with a range of collaborators.

Individual Researchers

• Prof Annie Cuyt, University of Antwerp, Belgium
• Prof Erich Kaltofen, North Carolina State University and Duke University, USA
• Dr Zoltan A. Kocsis, CSIRO Trustworthy Systems, Eveleigh NSW, Australia
• Dr David Li, University of Strathclyde, UK
• Prof Anna Matos, University of Lille, France
• Prof Yvonne Ou, University of Delaware, USA
• Prof Gerlind Plonka-Hoch, University of Goettingen, Germany
• Dr Ken Reid, Michigan State University, USA
• Dr Jerry Swan, NNAISENSE SA, Lugano, Switzerland

Academic Groups

• Optimisation and Logistics Group, Computer Science, University of Adelaide​, Australia
• PDEs and Applications group, Department of Mathematics, Universitat Autonoma de Barcelona, Spain
• University of Helsinki, Finland
• Glasgow Parallelism Group, School of Computing Science, University of Glasgow, UK
• Building Energy Research Group, School of Architecture, Building and Civil Engineering, Loughborough University, UK
• Computational Optimisation and Learning (COL) Lab, University of Nottingham, UK
• Operational Research Group, Queen Mary University of London, UK
  Centre for Smart Data Technologies, Robert Gordon University, Aberdeen, UK
• Saint Petersburg State University, Russia
  St. Petersburg Department of Steklov's Mathematical Institute, Russia
• Antenna Systems for the SKA, Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa
• Centre for Research on Evolution, Search and Testing, University College London, UK
• Symbolic Computation Group, David R. Cheriton School of Computer Science, University of Waterloo, Canada