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

Ingrid Daubechies
Office Location:  111 Physics
Office Phone:  (919) 660-2805
Email Address: send me a message
Web Pages:

Teaching (Spring 2021):


Ph.D.Vrije Universiteit Brussel (Belgium)1980

Applied Math

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

Recently Featured in:

Recent 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