Discrete optimization as decision support

It is fascinating that mathematical models and algorithms can be used to compute and suggest a good course of action when faced with a decision so complex that it is difficult for a human to grasp all aspects of it. For me, our research is about pushing the limits for when optimization can be of practical use, both with respect to how a problem is modelled, and through the development of efficient solution strategies. My research is within discrete optimization, with a special interest in decomposition methods, and the applications are mainly within scheduling and resource allocation.

Professional activities

Professional activities

  • President of the Swedish Operations Research Association, 2016 -
    (member of the board since 2014)
  • Member of the Board of the Department of Mathematics, Linköping University, 2018 -
  • Member of the Programme Board for Electrical Engineering, Applied Physics and Computational Sciences, Linköping University, 2018 -
  • Specialist in Optimisation at Saab Aeronautics, 2014 -
  • Co-founder of Schemagi, 2009 -

Student theses

  • "A column generation approach to scheduling of parallel identical machines", Julia Jobson, 2019

Current teaching

Research domain

PhD students