Short CV/Education and training

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

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

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

  • 2014
    Visiting professor at the ETH Zürich

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

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

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

  • 2005 – 2007
    Research associate at Giessen University

  • 2004
    Research associate at Giessen University, Germany

  • 2002 – 2004
    Research associate at the University of Paderborn

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

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

  • 1996 – 2001
    Research associate at the University of Paderborn

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

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

  • 1978 – 1982
    Weerth primary school in Detmold, Germany

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.

  • Harmonic Analysis, published by Birkhäuser-Springer and "Lecture Notes in Applied and Numerical Harmonic Analysis, Springer Briefs" (Springer).



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

  • Founder and Chair, GAMM Activity Group on Computational and Mathematical Methods in Data Science, since 2019

  • Member, SIAM Committee on Committees and Appointments, since 2018

  • International Jury, START-Program and Wittgenstein-Prize, since 2017

  • Founder and Chair, GAMM Activity Group on Mathematical Signal- and Image Processing, since 2012

  • Founding Co-Chair, SIAM Activity Group on Data Science, since 2011

  • Member of about 20 Technical Program Committees/Scientific Committees, since 2008

  • Organizer of 9 Oberwolfach-, 3 BIRS-, and 2 Dagstuhl-Meetings, since 2006

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

  • Main Coordinator, Long Programme `Mathematics of Deep Learning', Isaac Newton Institute for Mathematical Sciences, 2021

  • Executive Board, Berlin Mathematics Research Center MATH+, 2019 – 2020

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

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

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

  • Coordinator, DFG-SPP 1798 `Compressed Sensing in Information Theory', 2015 – 2021

  • Managing Board, GAMM, 2015 – 2020

  • Scientific Director, Berlin International Graduate School in Model- and Simulation based Research (BIMoS), 2014 – 2020

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

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

  • Reviewer for approx. 20 international research funding organisations, including the German Research Foundation (DFG), the European Commission (EC), and the National Science Foundation (NSF)

  • 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

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 organisational 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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