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 (Spring 2021):

• MATH 240.01, INTRO APPLIED MATH Synopsis

  Online ON, 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. 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]
2. Sabetsarvestani, Z; Sober, B; Higgitt, C; Daubechies, I; Rodrigues, MRD, Artificial intelligence for art investigation: Meeting the challenge of separating x-ray images of the Ghent Altarpiece., Science Advances, vol. 5 no. 8 (August, 2019), pp. eaaw7416 [doi]  [abs]
3. Alaifari, R; Daubechies, I; Grohs, P; Yin, R, Stable Phase Retrieval in Infinite Dimensions, Foundations of Computational Mathematics, vol. 19 no. 4 (August, 2019), pp. 869-900, Springer Nature America, Inc [doi]  [abs]
4. 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]
5. 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]

Recent Grant Support

• 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.      
• 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, 2015/09-2020/08.