Short CV/Education and training

  • 1978 – 1982
    Weerth primary school in Detmold, Germany

  • 1991
    Abitur (A-levels) at the Stadtgymnasium (grammar school) in Detmold

  • 1991 – 1996
    Diplom degree in mathematics and computer science at the University of Paderborn, Germany

  • 1996 – 2001
    Research associate at the University of Paderborn

  • 2000
    Doctor of Natural Science (Dr. rer. nat.) at the University of Paderborn

  • 2001
    Visiting assistant professor at the Georgia Institute of Technology, Atlanta, Georgia, USA

  • 2002 – 2004
    Research associate at the University of Paderborn

  • 2004
    Research associate at Giessen University, Germany

  • 2005 – 2007
    Research associate at Giessen University

  • 2006
    Habilitation (postdoctoral qualification) in mathematics at Giessen University

  • 2008 – 2011
    W3 professor of applied analysis at the University of Osnabrück, Germany

  • 2011 – 2020
    Technische Universität Berlin, Einstein Professor and Chair for Applied Functional Analysis

  • 2014
    Visiting professor at the ETH Zürich

  • 2018
    - 2020 Professor of Computer Science and Electrical Engineering (by courtesy) at the Technische Universität Berlin

  • Since 2019 Adjunct Professor in Machine Learning, University of Tromso, Norway

  • Since 2020 Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence at the Ludwig-Maximilians-Universität München

Selected publications

  • T. A. Bubba, G. Kutyniok, M. Lassas, M. März, W. Samek, S. Siltanen, and V. Srinivasan. Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle CT. Inverse Probl. 35 (2019).

  • H. Bölcskei, P. Grohs, G. Kutyniok, and P. Petersen. Optimal Approximation with Sparsely Connected Deep Neural Networks. SIAM J. Math. Data Sci. 1 (2019), 8-45.

  • G. Kutyniok, W.-Q Lim, and R. Reisenhofer. ShearLab 3D: Faithful Digital Shearlet Transforms based on Compactly Supported Shearlets ACM Trans. Math. Software 42 (2016), Article No.: 5.

  • P. Grohs and G. Kutyniok. Parabolic Molecules. Found. Comput. Math. 14 (2014), 299-337.

  • G. Kutyniok. Clustered Sparsity and Separation of Cartoon and Texture. SIAM J. Imaging Sci. 6 (2013), 848-874.

  • D. L. Donoho and G. Kutyniok. Microlocal Analysis of the Geometric Separation Problem. Comm. Pure Appl. Math. 66 (2013), 1-47.

  • P. Kittipoom, G. Kutyniok, and W.-Q Lim. Construction of Compactly Supported Shearlets. Constr. Approx. 35 (2012), 21-72.

  • G. Kutyniok, A. Pezeshki, A. R. Calderbank, and T. Liu. Robust Dimension Reduction, Fusion Frames, and Grassmannian Packings. Appl. Comput. Harmon. Anal. 26 (2009), 64-76.

  • G. Kutyniok and D. Labate. Resolution of the wavefront set using continuous shearlets. Trans. Amer. Math. Soc. 361 (2009), 2719-2754.

  • P. G. Casazza, G. Kutyniok, and S. Li. Fusion frames and distributed processing. Appl. Comput. Harmon. Anal. 25 (2008), 114-132.



Complete list of publications

Selected projects

  • Spokesperson of the DFG-RTG 2433 "Differential equation and data-driven models in life sciences and fluid dynamics"

  • Spokesperson of the DFG-PP 1798 "Compressed senssing in information

    processing"

  • Spokesperson of the DFG-PP 2298 "Theoretical foundations of deep

    learning"

  • Projects within three CRCs (CRC 944, CRC 1114, and CRC/TR 109), two

    PPs (PP 1324, PP 1798), one RTG (RTG 2260 BIOQIC), and one EC

    Project (EU-FET-Project DEDALE)

  • DFG projects (KU 1446/14, KU 1446/18) and a BMBF Project (MaGriDo)

  • Several projects within the Berlin research centers Matheon,

    ECMath, MATH+, and BZML

Membership in scientific bodies/juries

  • Member of the advisory board for the serie Applied and Numerical

    Harmonic Analysis, published by Birkhäuser-Springer and "Lecture

    Notes in Applied and Numerical Harmonic Analysis, Springer Briefs"

    (Springer)

  • Corresponding editor, Acta Applicandae Mathematicae

  • Associate Editor at Advances in Computational Mathematics, Applied

    and Computational Harmonic Analysis, Constructive Approximation,

    IEEE Signal Processing Letters, IEEE Transactions on Information

    Theory, IMA Journal of Numerical Analysis, Journal of Approximation

    Theory, Journal of Fourier Analysis and Applications Journal of

    Mathematical Imaging and Vision, SIAM Journal on Imaging Sciences,

    SIAM Journal on Mathematics of Data Science

  • Since 2021 Founding Co-Chair, SIAM Activity Group on Data Science

  • 2021 Main Coordinator, Long Programme `Mathematics of Deep

    Learning', Isaac Newton Institute for Mathematical Sciences

  • Since 2019 Founder and Chair, GAMM Activity Group on Computational

    and Mathematical Methods in Data Science

  • 2019 – 2020 Executive Board, Berlin Mathematics Research Center

    MATH+

  • Since 2018 Member, SIAM Committee on Committees and Appointments

  • 2018 – 2020 Chair, SIAM Activity Group on Imaging Sciences

  • 2018 – 2020 Spokesperson for the DFG-RTG 2433 DAEDALUS

  • Since 2017 Intl. Jury, START-Program and Wittgenstein-Prize

  • 2016 – 2018 Vice-Chair, SIAM Activity Group on Imaging Sciences

  • 2015-2021 Coordinator, DFG-SPP 1798 `Compressed Sensing in

    Information Theory'

  • 2015 – 2020 Managing Board, GAMM

  • 2014 – 2020 Scientific Director, Berlin International Graduate

    School in Model- and Simulation based Research (BIMoS)

  • Since 2012 Founder and Chair, GAMM Activity Group on Mathematical

    Signal- and Image Processing

  • 2012--2020 Executive Board, Berlin Mathematical School (BMS)

  • Since 2008 Member of about 20 Technical Program

    Committees/Scientific Committees

  • 2008 & Panelist for the National Science Foundation (NSF)

  • Since 2006 Organizer of 9 Oberwolfach-, 3 BIRS-, and 2

    Dagstuhl-Meetings

  • Reviewer for approx. 70 international journals

  • Reviewer for approx. 20 international research funding

    organisations, including the German Research Foundation (DFG), the

    European Commission (EC), and the National Science Foundation (NSF)

Additional qualifications

  • About 25 plenary talks at international conferences

  • A total of about 350 invited lectures, of which about 60 are

    colloquium talks at, for instance, California Institute of

    Technology, EPFL, ETH Zurich, Georgia Institute of Technology,

    Princeton U, RWTH Aachen, U Bonn, UCLA, U Münster, U Texas at

    Austin, U Vienna, and U Warwick

  • Of the about 80 organizational involvements in international

    workshops and conferences, 30 are organizations of minisymposia and

    special sessions

  • Over 60 invited research visits at international universities,

    including Cambridge University, Harvard University and Oxford

    University


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