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Gabriele Steidl

From Wikipedia, the free encyclopedia

Gabriele Steidl
BornNovember 1963 (age 60)
Alma materUniversity of Rostock
AwardsSIAM Fellow
Scientific career
FieldsMathematics
Institutions

Gabriele Steidl (born Drauschke, 1963)[1] is a German mathematician whose research interests include computational harmonic analysis, convex optimization, and image processing. She is a professor of mathematics at Technische Universität Berlin.

Education and career

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Steidl studied mathematics at the University of Rostock, earning a doctorate (Dr. rer. nat.) in 1988 and completing her habilitation in 1991.[2] Her doctoral dissertation, Grundlagen schneller Algorithmen für verallgemeinerte diskrete Fouriertransformationen, concerned fast algorithms for the discrete Fourier transform and was supervised by Manfred Tasche.[3]

After consulting for a German insurance association, she became an assistant professor at Technische Universität Darmstadt in 1993. She moved to the University of Mannheim as a professor in 1996, and moved again to the Technical University of Kaiserslautern in 2011 before taking her present position at Technische Universität Berlin in 2020.[2] From 2020-21, she is program director of the SIAM Activity Group on Imaging Science.[4]

Book

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  • with Plonka, Gerlind; Potts, Daniel; Tasche, Manfred (2018). Numerical Fourier Analysis. Applied and Numerical Harmonic Analysis. Birkhäuser Cham. doi:10.1007/978-3-030-04306-3. ISBN 978-3-030-04305-6. S2CID 126498748.[5]

Recognition

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Steidl was elected as a Fellow of the Society for Industrial and Applied Mathematics, in the 2022 Class of SIAM Fellows, "for contributions to computational harmonic analysis and imaging sciences".[6]

References

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  1. ^ Birth year from German National Library catalog entry, retrieved 2021-02-17
  2. ^ a b Curriculum vitae, retrieved 2021-02-17
  3. ^ Gabriele Steidl at the Mathematics Genealogy Project
  4. ^ "SIAM Activity Group on Imaging Science". Society for Industrial and Applied Mathematics.
  5. ^ Reviews of Numerical Fourier Analysis: Raffaele D'Ambrosio, MR3890075; Adhemar Bultheel, Zbl 1412.65001
  6. ^ "SIAM Announces Class of 2022 Fellows", SIAM News, 31 March 2022, retrieved 2022-03-31
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