Ingrid Daubechies, James B. Duke Professor of Mathematics and Professor of Electrical and Computer Engineering

Contact Info:

Office Location:	111 Physics
Office Phone:	(919) 660-2805
Email Address:
Web Pages:	https://math.duke.edu/people/ingrid-daubechies https://ece.duke.edu/faculty/ingrid-daubechies

Education:

Ph.D.

Vrije Universiteit Brussel (Belgium)

1980

Specialties:

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:

• Math is (also) for women

Recent Publications   (More Publications)

1. 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, vol. 10 no. 4 (April, 2019), pp. 541-552 [doi]  [abs]
2. Zhu, W; Qiu, Q; Huang, J; Calderbank, R; Sapiro, G; Daubechies, I, LDMNet: Low Dimensional Manifold Regularized Neural Networks, Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition (December, 2018), pp. 2743-2751 [doi]  [abs]
3. 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]
4. 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]
5. 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]

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.