Daniel Axehill works as an associate professor (biträdande professor) at the Division of Automatic Control at the Department of Electrical Engineering at Linköping University. He started his graduate studies in February 2003 after completing his M.Sc. degree in Applied Physics and Electrical Engineering (Y) at Linköping University. Daniel received his Lic.Eng. degree in December 2005. The Licentiate's thesis can be found here. Daniel received his PhD degree in February 2008. The thesis is available from here. Daniel held a post-doc position at the Automatic Control Laboratory at ETH Zurich from January 2009 until November 2010. He became a Docent in September 2015. He has been the main supervisor of two now graduated Ph.D. students. He is currently the main supervisor of four Ph.D. students and the co-supervisor of three Ph.D. students.
Daniel's research areas are Model Predictive Control (MPC), optimization, and motion planning. Currently the MPC research is focused on problems related to real-time MPC. Ongoing research relates to efficient linear algebra for on-line algorithms, parametric programming, parallel computations, as well as real-time constrained optimization. The research about motion planning includes theoretical aspects, algorithms, and applications. Current industry research partners are Scania CV and Saab Dynamics. Daniel's research is financed by the Swedish Research Council, FFI and WASP/KAW. For more details, see his research page.
Associate Professor in Automatic Control
- +46 13 28 40 42
- Mobile (private):
- +46 708 78 36 70
- Dept. of Electrical Engineering
- Linköping University
- SE-581 83 Linköping
- Visiting Address:
- Campus Valla
- Building B
- Room 2A:479 (in the A corridor on the ground floor between entrance 27 and 29)
Page responsible: Daniel Axehill
Last updated: 2019-05-09