Math @ Duke
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Ingrid Daubechies, James B. Duke Distinguished Professor of Mathematics and Professor of Electrical and Computer Engineering
 - Contact Info:
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:
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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:
- Recent Publications
(More Publications)
- 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]
- 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]
- 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]
- 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]
- 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.
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dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821
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Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320
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