Math @ Duke
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Ingrid Daubechies, James B. Duke Professor of Mathematics and Professor of Electrical and Computer Engineering
 - Contact Info:
Teaching (Spring 2019):
- MATH 240.01, INTRO APPLIED MATH
Synopsis
- Gross Hall 318, TuTh 01:25 PM-02:40 PM
- Education:
Ph.D. | Vrije Universiteit Brussel (Belgium) | 1980 |
- Specialties:
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Applied Math
Analysis
- Keywords:
- Algorithms • Analysis of Variance • Animals • Art--Conservation and restoration • Brain • Brain Mapping • Cell Line • Computer Simulation • Diet • DNA Replication • Genome, Viral • Herpesviridae • Humans • Image Interpretation, Computer-Assisted • Image Processing, Computer-Assisted • Industry • Inverse problems • Machine learning • Magnetic Resonance Imaging • Microscopy, Fluorescence • Models, Anatomic • Models, Biological • Models, Theoretical • Molar • Reproducibility of Results • Signal Processing, Computer-Assisted • Strepsirhini • Swine • Tooth Crown • Tooth Wear • Tupaia • Wavelets (Mathematics) • X-Ray Microtomography
- Postdocs Mentored
- Tingran Gao (2015/06-present)
- Bruno Cornelis (2014 - 2015)
- Jameson Cahill (2013 - 2015)
- Grace Wang (2012 - 2015)
- Rayan Saab (January 01, 2012 - July 31, 2013)
- Recently Featured in:
- Recent Publications
(More Publications)
- Shan, S; Kovalsky, SZ; Winchester, JM; Boyer, DM; Daubechies, I, ariaDNE: A robustly implemented algorithm for Dirichlet energy of the normal,
Methods in Ecology and Evolution
(January, 2019) [doi] [abs]
- Yin, R; Daubechies, I, Directional Wavelet Bases Constructions with Dyadic Quincunx Subsampling,
Journal of Fourier Analysis and Applications, vol. 24 no. 3
(June, 2018),
pp. 872-907, Springer Nature [doi] [abs]
- Gao, T; Yapuncich, GS; Daubechies, I; Mukherjee, S; Boyer, DM, Development and Assessment of Fully Automated and Globally Transitive Geometric Morphometric Methods, With Application to a Biological Comparative Dataset With High Interspecific Variation.,
Anatomical Record (Hoboken, N.J. : 2007), vol. 301 no. 4
(April, 2018),
pp. 636-658 [doi] [abs]
- Xu, J; Yang, H; Daubechies, I, Recursive Diffeomorphism-Based Regression for Shape Functions,
Siam Journal on Mathematical Analysis, vol. 50 no. 1
(January, 2018),
pp. 5-32, Society for Industrial & Applied Mathematics (SIAM) [doi] [abs]
- Alaifari, R; Daubechies, I; Grohs, P; Yin, R, Stable Phase Retrieval in Infinite Dimensions,
Foundations of Computational Mathematics
(January, 2018), Springer Nature America, Inc [doi] [abs]
- Recent Grant Support
- Simons Foundation - Math + X Investigators, Simons Foundation, 2016/07-2021/06.
- New Approaches for Better Spatial Frequency Localization in 2 and 3-Dimensional Data Analysis, National Science Foundation, 1516988, 2015/09-2019/08.
- New Approaches for Better Spatial Frequency Localization in 2 and 3-Dimensional Data Analysis, National Science Foundation, 1516988, 2015/09-2018/08.
- Structured Dictionary Models and Learning for High Resolution Images, National Science Foundation, 2013/08-2017/07.
- Structured Dictionary Models and Learning for High Resolution Images, National Science Foundation, DMS-1320655, 2013/08-2017/07.
- The Keck Automated Phenotyping Algorithm Initiative (KAPAI), W.M. Keck Foundation, 2014/08-2016/09.
- Discovery of Empirical Components by Information Theory, Random Matrix Theory, and Computational Topology, Princeton University, 00002113, 2013/02-2016/02.
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dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821
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Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320
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