Mathematical optimization


​The research performed in the group focuses on two strongly connected areas: on the modelling and analysis of applied optimization problems arising in other sciences, industry, and society, and on the development and analysis of efficient algorithms for classes of large-scale optimization problems arising in these applications. We also develop theory that contributes to the characterization of optimal solutions for particular classes of optimization problems and thus contributes to the development and implementation of more effective solution methodologies for these problem classes.

The optimization group also offer courses at the undergraduate, graduate and postgraduate levels on theoretical as well as applied optimization topics.




Ann-Brith Strömberg
Applications and theory of (integer) linear optimization, non-differentiable convex optimization
Michael Patriksson Nonlinear and convex optimization, industrial scheduling and traffic planning problems

PhD Students

Sunney Fotedar Tactical resource allocation for efficient capacity utilization
​Caroline Granfeldt Mathematical modelling of large-scale integration of variable electricity generation
​Gabrijela Obradović ​Effect based aircraft maintenance planning and operations support
Quanjiang Yu ​Mathematical models and methods for wind power production and maintenance planning
​Edvin Åblad ​Combinatorial and geometrical optimization problems in autonomous automotive manufacturing

Previous members

Zuzana Nedělková (PhD 2018), Kin Cheong Sou (PhD) Assistant Professor​, Efraim Laksman (PhD) Postdoc, Emil Gustavsson (PhD 2015), Karin Thörnblad (PhD 2013​; article in MV news), Mahmoud Shafiee (PhD) Postdoc, Magnus Önnheim (TechLic 2013​)​, Adam Wojciechowski (PhD 2012), Mehdi Sharifyazdi (PhD) Postdoc, Peter Lindroth (PhD 2011), Christoffer Cromvik (PhD 2009), Anna Nyström (TechLic 2007), Anton Evgrafov (PhD 2004), Niclas Andréasson (TechLic 2004), Fredrik Altenstedt (PhD 2003), Jakob Hultén (TechLic 2001)

Page manager Published: Thu 01 Apr 2021.