Prof. Dr. Maria Blettner
Health, Mathematics and statistics, Epidemiology and statistics
Mathematics and statistics
Mathematical Foundations of Artificial Intelligence
Applied Harmonic Analysis, Approximation Theory, Artificial Intelligence, Compressed Densing, (High-Dimensional) Data Analysis, Imaging Science, Inverse Problems, Machine learning, Partial Differential Equations, (Statistical) Learning Theory
Plenary Talk, 8th European Congress of Mathematics, Portoroz, Slovenia, 2021
Offer of Bavarian AI Chair, LMU Munich, 2020
Francqui Chair, Vrije Universiteit Brussel, 2020
Offer of Chair "Mathematical Aspects of Data Science", University of Warwick, 2020
Offer of Full Professor for Mathematics, Johns Hopkins University, 2020
SIAM Fellow, 2019
Offer of Full Professor "Applied Mathematics", RWTH Aachen, 2018
Offer of Full Professor "Applied Mathematics", Universität Paderborn, 2018
Member of the Berlin-Brandenburg Academy of Sciences and Humanities, 2016
Hans Schneider ILAS Lecturer at the Conference IWOTA 2016 in St. Louis
J. Tinsley Oden Faculty Fellow, University of Texas at Austin, 2015
Visiting professor, ETH Zürich, 2014
Noether-Lecturer, ÖMG-DMV-Kongress, 2013
Einstein Professur, 2011
Nominated by the University of Osnabrück, Germany, for the Alfried Krupp Advancement Award for Young Professors, 2010
Yale University, Heisenberg Fellowship, 2008
Von Kaven Prize from the German Research Foundation (DFG), 2007
Princeton University, Heisenberg Fellowship, 2007
Stanford University, Heisenberg Fellowship, 2007
Research prize from Giessen University, Germany, 2006
Heisenberg Fellowship from the DFG, 2006
Georgia Institute of Technology, fellowship from the DFG, 2005
Washington University in St. Louis, fellowship from the DFG, 2004 – 2005
Research fellowship from the DFG, 2004
Research award from the University of Paderborn, 2003
Weierstrass Prize from the Departments of Mathematics and Computer Science at the University of Paderborn for excellence in teaching, 1998
English, French, German
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).
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
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
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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Health, Mathematics and statistics, Epidemiology and statistics
Mathematics and statistics, Topology and Categorification
Mathematics and statistics, Differential geometry and global analysis
Mathematics and statistics, Algebra, Representation Theory