Thomas Schön

Thomas Schön

Beijer Professor of Artificial Intelligence

Uppsala, Uppsala län, Sverige
3 tn följare Fler än 500 kontakter

Info

I am interested in building probabilistic models enabling machines (and humans) to automatically understand what is happening. This understanding can then be used to control what is happening.

My aim is to pursue both basic and applied research, where the latter is typically carried out in close collaboration with industry.

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Erfarenhet

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Publikationer

Utmärkelser och priser

  • Tage Elander prize for natural sciences and technology

    Royal Swedish Academy of Sciences (KVA)

    “For significant contributions to nonlinear identification and particle filtering”.

  • Arnberg prize (Arnbergska priset)

    Royal Swedish Academy of Sciences (KVA)

    For excellent work in technical science.

  • Automatica best paper award

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    Awarded for the paper; Thomas B. Schön, Adrian Wills and Brett Ninness. System identification of nonlinear state-space models. Automatica, 47(1):39-49, January 2011.

  • Honorable mention (nominated for the best application paper award)

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    At the 18th World Congress of the International Federation of Automatic Control (IFAC), Cape Town, South Africa, 2014 with the paper "An optimization-based approach to human body motion capture using inertial sensors."

  • Best PhD thesis award 2013

    The European Association for Signal Processing (EURASIP)

    The award is based on the impact of the thesis.

Språk

  • Swedish

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  • English

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  • German

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