About me

Since May 2023, I am Associate Professor at the Delft Center for Systems and Control at the Delft University of Technology in the Netherlands. Before that, I was Assistant Professor in the same group from April 2018 until April 2023. I received my PhD from the Automatic Control group at Linköping University, Sweden. My supervisor was Prof. Thomas Schön from Uppsala University. My co-supervisors were Prof. Fredrik Gustafsson and Dr. Jeroen Hol. From January until March 2015 I went on a research visit to the Bayesian Methodology Group at Aalto University, Finland, cooperating with Dr. Simo Särkkä and Dr. Arno Solin. From March 2017 until March 2018 I was a Research Associate in the Machine Learning Group of the Computational and Biological Learning Lab at the University of Cambridge, working with Prof. Carl Rasmussen. Before starting as a PhD student, I received a M.Sc. in Applied Physics in Januari 2009 and a M.Sc. in Philosophy of Science, Technology and Society in June 2007 from the University of Twente, the Netherlands. Between Februari 2009 and July 2011 I worked as a research engineer at Xsens Technologies. My research interests lie in the fields of probabilistic modelling for sensor fusion, signal processing and machine learning. I am specifically interested in sensor fusion using inertial sensors and magnetometers. More information about my research can be found here.

Recent news: 

[April 2021] I am very happy and excited that I have been awarded an NWO Veni grant to work on sensor fusion for indoor localisation using the magnetic field! I am grateful about this opportunity and it'll be very exciting to work on this topic for the coming three years!

[October 2019] Recently, our paper A Fast and Robust Algorithm for Orientation Estimation using Inertial Sensors has been accepted to IEEE Signal Processing Letters: 

[October 2019] Recently, our paper Sensor Fusion for Magneto-Inductive Navigation has been accepted to IEEE Sensors Journal: 

[May 2019] Our paper On Attitude Representations for Optimization-Based Bayesian Smoothing has been accepted to the International Conference on Information Fusion 2019! 

[February 2019] Two papers accepted to the European Control Conference! 

[December 2018] Our paper Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features has been accepted to AISTATS 2019. This is joint work with Arno Solin.

[July 2018] Our paper Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps won the ISIF 2018 Jean-Pierre Le Cadre Best Paper Award at the 20th International Conference on Information Fusion. This is joint work with Arno Solin.

[July 2018] Together with Gustaf Hendeby, I am organising a special session on Advances in Motion Estimation using Inertial Sensors at the 21st International Conference on Information Fusion, which will be held in Cambridge, UK on 10 - 13 July. I will also present the paper that Arno Solin and I wrote on Scalable Magnetic Field SLAM in 3D Using Gaussian Process Maps. Furthermore, Thomas Seel will present our paper on A Method for Lower Back Motion Assessment Using Wearable 6D Inertial Sensors. This is joint work with Marco Molnar from TU Berlin and Tilman Engel, Hannes Kaplick and Frank Mayer from the Outpatient Clinic at the University of Potsdam. Before going to Cambridge, I will also be attending the 18th IFAC Symposium on System Identification in Stockholm, Sweden.

[June 2018] Our paper Modeling and Interpolation of the Ambient Magnetic Field by Gaussian Processes has been published in IEEE Transactions on Robotics. This is joint work with Arno Solin, Niklas Wahlström, Thomas Schön and Simo Särkkä. We also published a supplementary video and an ArXiv version of the paper.

[May 2018] Together with Thomas Seel, Bertram Taetz and Gabriele Bleser, I am organising a workshop on motion tracking using using inertial sensors at the European Control Conference. More details about the workshop can also be found here.

[May 2018 ] Two papers accepted to the 21st International Conference on Information Fusion!