Ingrid Daubechies, James B. Duke Distinguished Professor

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

Teaching (Fall 2022):

• MATH 212.01, MULTIVARIABLE CALCULUS Synopsis

  Gross Hall 318, WF 08:30 AM-09:45 AM

• MATH 712.01, MULTIVARIABLE CALCULUS Synopsis

  Gross Hall 318, WF 08:30 AM-09:45 AM

• MATH 240.01, INTRO APPLIED MATH Synopsis

  Allen 326, TuTh 08:30 AM-09:45 AM

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. Daubechies, I; DeVore, R; Foucart, S; Hanin, B; Petrova, G, Nonlinear Approximation and (Deep) ReLU Networks, Constructive Approximation, vol. 55 no. 1 (February, 2022), pp. 127-172 [doi]  [abs]
2. Pu, W; Huang, J-J; Sober, B; Daly, N; Higgitt, C; Daubechies, I; Dragotti, PL; Rodrigues, MRD, Mixed X-Ray Image Separation for Artworks With Concealed Designs., Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society, vol. 31 (January, 2022), pp. 4458-4473 [doi]  [abs]
3. Daubechies, I; DeVore, R; Dym, N; Faigenbaum-Golovin, S; Kovalsky, SZ; Lin, KC; Park, J; Petrova, G; Sober, B, Neural Network Approximation of Refinable Functions, Ieee Transactions on Information Theory (January, 2022) [doi]  [abs]
4. Fulwood, EL; Shan, S; Winchester, JM; Gao, T; Kirveslahti, H; Daubechies, I; Boyer, DM, Reconstructing dietary ecology of extinct strepsirrhines (Primates, Mammalia) with new approaches for characterizing and analyzing tooth shape, Paleobiology, vol. 47 no. 4 (November, 2021), pp. 612-631 [doi]  [abs]
5. Cheng, C; Daubechies, I; Dym, N; Lu, J, Stable phase retrieval from locally stable and conditionally connected measurements, Applied and Computational Harmonic Analysis, vol. 55 (November, 2021), pp. 440-465 [doi]  [abs]

Recent Grant Support

• RTG: Training Tomorrow's Workforce in Analysis and Applications, National Science Foundation, 2021/07-2026/06.      
• Simons Foundation - Math + X Investigators, Simons Foundation, 2016/07-2026/06.      
• Collaborative Reseach: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET), National Science Foundation, 2020/09-2025/08.      
• Collaborative Reseach: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET), Simons Foundation, 2020/09-2025/08.      
• HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms, National Science Foundation, 2019/10-2022/09.      
• New Approaches for Better Spatial Frequency Localization in 2 and 3-Dimensional Data Analysis, National Science Foundation, 1516988, 2015/09-2020/08.