Dr Thomas Schön
My main research interest is nonlinear inference, especially within the context of
dynamical systems, solved using probabilistic methods. In terms of scientific fields, my
research is situated somewhere on the intersection between the fields of signal
processing, machine learning, automatic control and mathematical statistics. My aim is
to pursue both basic and applied research, where the latter is typically carried out in
close collaboration with industry.
Recent Research Results/News |
- Apr 27, 2012: We have some new results accepted for publication at the 15th
International Conference on Information Fusion to be held in Singapore during July
9-12 this summer.
[1] Manon Kok, Jeroen Hol, Thomas B. Schön, Fredrik Gustafsson, Henk Luinge,
Calibration of a magnetometer in combination with inertial sensors.
[2] Tohid Ardeshiri, Umut Orguner, Christian Lundquist, Thomas B. Schön, On
Mixture Reduction for Multiple Target Tracking.
- Mar 30, 2012: Our paper, System identification of nonlinear state-space models [pdf] was the second most
downloaded Automatica paper during 2011. The Top 25 list is available here.
- Mar 5, 2012: I have been invited as a guest Professor in Johan
Schoukens' graduate course, Identification of Nonlinear Dynamic Systems. During June 6-7
I will give 4 two hour lectures on "Computational inference in dynamical
systems", more detailed information available here here. This will
be a short version of a full PhD course that I am currently developing and hope
to be able to offer in its full form sometime during the coming year.
Click here here for more news.
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