Ingrid Daubechies, James B. Duke Distinguished 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

Teaching (Fall 2021):

• MATH 635.01, FUNCTIONAL ANALYSIS Synopsis

  Gross Hall 318, MW 05:15 PM-06:30 PM

• MATH 240.01, INTRO APPLIED MATH Synopsis

  Gross Hall 318, WF 01:45 PM-03:00 PM

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. 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]
2. Fornasier, M; Vybíral, J; Daubechies, I, Robust and resource efficient identification of shallow neural networks by fewest samples, Information and Inference, vol. 10 no. 2 (June, 2021), pp. 625-695 [doi]  [abs]
3. Fulwood, EL; Shan, S; Winchester, JM; Kirveslahti, H; Ravier, R; Kovalsky, S; Daubechies, I; Boyer, DM, Insights from macroevolutionary modelling and ancestral state reconstruction into the radiation and historical dietary ecology of Lemuriformes (Primates, Mammalia)., Bmc Ecology and Evolution, vol. 21 no. 1 (April, 2021), pp. 60 [doi]  [abs]
4. Daubechies, I; DeVore, R; Foucart, S; Hanin, B; Petrova, G, Nonlinear Approximation and (Deep) ReLU Networks, Constructive Approximation (January, 2021) [doi]  [abs]
5. Pu, W; Sober, B; Daly, N; Higgitt, C; Daubechies, I; Rodrigues, MRD, A connected auto-encoders based approach for image separation with side information: With applications to art investigation, 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol. 2020-May (May, 2020), pp. 2213-2217, ISBN 9781509066315 [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.