Scholars@Duke

• Background
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  Education, Training, & Certifications

  • Ph.D., Vrije Universiteit Brussel (Belgium) 1980
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  Previous Appointments & Affiliations

  • James B. Duke Distinguished Professor of Mathematics, Mathematics, Trinity College of Arts & Sciences 2011 - 2015
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  Leadership & Clinical Positions at Duke

  • Alumni Liaison/External Relations. Duke Mathematics Department, August 2019
• Recognition
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  In the News

  • NOV 9, 2021

    Art Installation Celebrates the Beauty and Whimsy of Math

  • JAN 28, 2020

    Ingrid Daubechies, Making Waves

  • JUN 13, 2019

    Harvard Presents Ingrid Daubechies With Honorary Degree

  • MAY 28, 2019

    Forbes

    Talking with Ingrid Daubechies: 8 Tips for Generating Creative Ideas

  • FEB 12, 2019

    Pratt School of Engineering

    Daubechies Named North American Laureate of L'Oréal-UNESCO International Award For Women in Science

  • AUG 6, 2018

    Scientific American

    Ingrid Daubechies' Favorite Theorem: It Involves Graphs And Biologists Love It

  • JUL 30, 2018

    Duke Mathematician Awarded More Than $400000 for Her Contributions to Wavelet Theory

  • JUN 11, 2018

    Duke Professor Wins $100,000 Prize in Applied Mathematics

  • SEP 30, 2016

    Quanta Magazine

    Ingrid Daubechies: Using Mathematics to Repair a Masterpiece

  • AUG 3, 2016

    The News & Observer

    Duke math professor wins $1.5 million award

  • JUL 29, 2016

    Of Heartbeats, Bones and Brushstrokes

  • JUL 29, 2016

    Simons Foundation Awards Duke's Ingrid Daubechies $1.5M Grant

  • JAN 26, 2016

    Four Pratt Faculty Listed Among Most Highly Cited

  • SEP 9, 2015

    Software Helps Art Conservators Clear the Cradling

  • JUN 17, 2015

    Ingrid Daubechies on Breaking the Glass Ceiling

  • FEB 6, 2015

    Wiesner and Daubechies Named National Academy of Engineering Members

  • AUG 14, 2014

    Daubechies on the First Female Winner of the Fields Math Medal

  • AUG 13, 2014

    The New York Times

    Ingrid Daubechies comments: Top math prize has its first female winner

  • JUN 16, 2014

    Duke Faculty Head to DC to Talk to Policymakers About Math and Art
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  Awards & Honors

  • Fudan-Zhongzhi Science Award. Fudan University and Zhongzhi Enterprise Group. 2018
  • Elected Member. National Academy of Engineering. February 2015
  • Highly Cited Researcher. Thomson Reuters. 2014
  • American Academy of Arts & Sciences Fellow. American Academy of Arts & Sciences. September 2013
  • BBVA Foundation Frontiers of Knowledge Award. BBVA Foundation Frontiers. September 2013
  • Basic Research Award. German Eduard Rhein Foundation. September 2013
  • Benjamin Franklin Medal in Electrical Engineering. Franklin Institute. September 2013
  • Elected Member. National Academy of Sciences. September 2013
  • Emily Noether Lecturer. Association for Women in Mathematics. September 2013
  • Fellow. American Mathematical Society. September 2013
  • Fellow. Institute of Electrical and Electronics Engineers. September 2013
  • Fellow. MacArthur Foundation. September 2013
  • Golden Jubilee Award for Technological Innovation. IEEE Information Theory Society. September 2013
  • Guggenheim Fellow. Unknown. September 2013
  • Jack S.Kilby Signal Processing Medal. Institute of Electrical and Electronics Engineers. September 2013
  • Leroy P. Steele Prize for Seminal Contribution to Research. American Mathematical Society. September 2013
  • Louis Empain Prize for Physics. Unknown. September 2013
  • National Academy of Sciences Award in Mathematics. National Academy of Sciences. September 2013
  • Nemmers Prize in Mathematics. Northwestern University. September 2013
  • Pioneer Prize. International Council for Industrial and Applied Mathematics. September 2013
  • Ruth Little Satter Prize in Mathematics. American Mathematical Society. September 2013
  • Steele Prize for Mathematical Exposition. American Mathematical Society. September 2013
  • AAAS Fellows. American Association for the Advancement of Science, The. 2011
  • Benjamin Franklin Medal. Franklin Institute. 2011
  • Jack S. Kilby Signal Processing Medal. Institute for Electrical and Electronics Engineers. 2011
  • John von Neumann Lectureship. Society for Industrial and Applied Mathematics. 2011
  • Leroy P. Steele Prize Seminal Contribution to Research. American Mathematical Society. 2011
  • Fellowship. John Simon Guggenheim Memorial Foundation. 2010
  • Fellow. Society for Industrial and Applied Mathematics. 2009
  • Membership. American Philosophical Society. 2003
  • Earle Raymond Hedrick Lectureship. Mathematical Association of America. 2001
  • Highly Cited Researcher. Thomson Reuters. 2001
  • NAS Award in Mathematics. National Academy of Science. 2000
  • National Academy of Sciences Award in Mathematics. American Mathematical Society. 2000
  • Fellows. Institute for Electrical and Electronics Engineers. 1999
  • School of Mathematics/Members. Institute for Advanced Study. 1999
  • Members/ Foreign Associates. National Academy of Science. 1998
  • Ruth Lyttle Satter Prize in Mathematics. American Mathematical Society. 1997
  • Leroy P. Steele Prize Mathematical Exposition. American Mathematical Society. 1994
  • Fellows. American Academy of Arts and Sciences. 1993
  • Fellows. MacArthur Foundation. 1992
  • School of Mathematics/ Members. Institute for Advanced Study. 1990
• Expertise
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  Subject Headings

  • Art--Conservation and restoration
  • Inverse problems
  • Wavelets (Mathematics)
• Research
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  Selected Grants

  • RTG: Training Tomorrow's Workforce in Analysis and Applications awarded by  National Science Foundation 2021 - 2026
  • Simons Foundation - Math + X Investigators awarded by Simons Foundation 2016 - 2026
  • Collaborative Reseach: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET) awarded by Simons Foundation 2020 - 2025
  • Collaborative Reseach: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET) awarded by  National Science Foundation 2020 - 2025
  • HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms awarded by  National Science Foundation 2019 - 2022
  • New Approaches for Better Spatial Frequency Localization in 2 and 3-Dimensional Data Analysis awarded by  National Science Foundation 2015 - 2020
  • Structured Dictionary Models and Learning for High Resolution Images awarded by  National Science Foundation 2013 - 2017
  • Mathematics of Low Dimensional Represenations for Design awarded by Office of Naval Research 2011 - 2016
  • Discovery of Empirical Components by Information Theory, Random Matrix Theory, and Computational Topology awarded by Princeton University 2013 - 2016
  • Digital Removal of Cradle Artifacts from X-rays of Old Masterworks Painted on Wood Panel awarded by Samuel H. Kress Foundation 2014 - 2015
• Publications & Artistic Works
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  Selected Publications

  • Academic Articles

    • Cheng, C., I. Daubechies, N. Dym, and J. Lu. “Stable phase retrieval from locally stable and conditionally connected measurements.” Applied and Computational Harmonic Analysis 55 (November 1, 2021): 440–65. https://doi.org/10.1016/j.acha.2021.07.001.
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    • Fornasier, M., J. Vybíral, and I. Daubechies. “Robust and resource efficient identification of shallow neural networks by fewest samples.” Information and Inference 10, no. 2 (June 1, 2021): 625–95. https://doi.org/10.1093/imaiai/iaaa036.
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    • Fulwood, Ethan L., Shan Shan, Julia M. Winchester, Henry Kirveslahti, Robert Ravier, Shahar Kovalsky, Ingrid Daubechies, and Doug M. Boyer. “Insights from macroevolutionary modelling and ancestral state reconstruction into the radiation and historical dietary ecology of Lemuriformes (Primates, Mammalia).” Bmc Ecology and Evolution 21, no. 1 (April 21, 2021): 60. https://doi.org/10.1186/s12862-021-01793-x.
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    • Daubechies, I., R. DeVore, S. Foucart, B. Hanin, and G. Petrova. “Nonlinear Approximation and (Deep) ReLU Networks.” Constructive Approximation, January 1, 2021. https://doi.org/10.1007/s00365-021-09548-z.
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    • Sabetsarvestani, Z., B. Sober, C. Higgitt, I. Daubechies, and M. R. D. Rodrigues. “Artificial intelligence for art investigation: Meeting the challenge of separating x-ray images of the Ghent Altarpiece.” Science Advances 5, no. 8 (August 30, 2019): eaaw7416. https://doi.org/10.1126/sciadv.aaw7416.
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    • Alaifari, R., I. Daubechies, P. Grohs, and R. Yin. “Stable Phase Retrieval in Infinite Dimensions.” Foundations of Computational Mathematics 19, no. 4 (August 15, 2019): 869–900. https://doi.org/10.1007/s10208-018-9399-7.
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    • Shan, S., S. Z. Kovalsky, J. M. Winchester, D. M. Boyer, and I. Daubechies. “ariaDNE: A robustly implemented algorithm for Dirichlet energy of the normal.” Methods in Ecology and Evolution 10, no. 4 (April 1, 2019): 541–52. https://doi.org/10.1111/2041-210X.13148.
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    • Zhu, W., Q. Qiu, J. Huang, R. Calderbank, G. Sapiro, and I. Daubechies. “LDMNet: Low Dimensional Manifold Regularized Neural Networks.” Proceedings of the Ieee Computer Society Conference on Computer Vision and Pattern Recognition, December 14, 2018, 2743–51. https://doi.org/10.1109/CVPR.2018.00290.
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    • Yin, R., and I. Daubechies. “Directional Wavelet Bases Constructions with Dyadic Quincunx Subsampling.” Journal of Fourier Analysis and Applications 24, no. 3 (June 1, 2018): 872–907. https://doi.org/10.1007/s00041-017-9540-z.
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    • Gao, Tingran, Gabriel S. Yapuncich, Ingrid Daubechies, Sayan Mukherjee, and Doug M. Boyer. “Development and Assessment of Fully Automated and Globally Transitive Geometric Morphometric Methods, With Application to a Biological Comparative Dataset With High Interspecific Variation.” Anat Rec (Hoboken) 301, no. 4 (April 2018): 636–58. https://doi.org/10.1002/ar.23700.
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    • Alaifari, R., I. Daubechies, P. Grohs, and G. Thakur. “Reconstructing Real-Valued Functions from Unsigned Coefficients with Respect to Wavelet and Other Frames.” Journal of Fourier Analysis and Applications 23, no. 6 (December 1, 2017): 1480–94. https://doi.org/10.1007/s00041-016-9513-7.
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    • Fodor, G., B. Cornelis, R. Yin, A. Dooms, and I. Daubechies. “Cradle removal in X-ray images of panel paintings.” Image Processing on Line 7 (January 1, 2017): 23–42. https://doi.org/10.5201/ipol.2017.174.
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    • Yin, R., T. Gao, Y. M. Lu, and I. Daubechies. “A tale of two bases: Local-nonlocal regularization on image patches with convolution framelets.” Siam Journal on Imaging Sciences 10, no. 2 (January 1, 2017): 711–50. https://doi.org/10.1137/16M1091447.
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    • Wu, Hau-Tieng, Gregory F. Lewis, Maria I. Davila, Ingrid Daubechies, and Stephen W. Porges. “Optimizing Estimates of Instantaneous Heart Rate from Pulse Wave Signals with the Synchrosqueezing Transform.” Methods of Information in Medicine 55, no. 5 (October 2016): 463–72. https://doi.org/10.3414/me16-01-0026.
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    • O’Neal, Wesley T., Yi Grace Wang, Hau-Tieng Wu, Zhu-Ming Zhang, Yabing Li, Larisa G. Tereshchenko, E Harvey Estes, Ingrid Daubechies, and Elsayed Z. Soliman. “Electrocardiographic J Wave and Cardiovascular Outcomes in the General Population (from the Atherosclerosis Risk In Communities Study).” The American Journal of Cardiology 118, no. 6 (September 2016): 811–15. https://doi.org/10.1016/j.amjcard.2016.06.047.
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    • Yin, R., B. Cornelis, G. Fodor, N. Ocon, D. Dunson, and I. Daubechies. “Removing cradle artifacts in X-ray images of paintings.” Siam Journal on Imaging Sciences 9, no. 3 (August 30, 2016): 1247–72. https://doi.org/10.1137/15M1053554.
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    • Daubechies, I., M. Defrise, and C. De Mol. “Sparsity-enforcing regularisation and ISTA revisited.” Inverse Problems 32, no. 10 (August 5, 2016). https://doi.org/10.1088/0266-5611/32/10/104001.
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    • Daubechies, Ingrid, Yi Grace Wang, and Hau-tieng Wu. “ConceFT: concentration of frequency and time via a multitapered synchrosqueezed transform.” Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences 374, no. 2065 (April 2016): 20150193. https://doi.org/10.1098/rsta.2015.0193.
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    • Huang, Norden E., Ingrid Daubechies, and Thomas Y. Hou. “Adaptive data analysis: theory and applications.” Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences 374, no. 2065 (April 2016): 20150207. https://doi.org/10.1098/rsta.2015.0207.
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    • Daubechies, I., and R. Saab. “A Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions.” Ieee Signal Processing Letters 22, no. 11 (November 1, 2015): 2093–96. https://doi.org/10.1109/LSP.2015.2459758.
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    • Pizurica, A., L. Platisa, T. Ruzic, B. Cornelis, A. Dooms, M. Martens, H. Dubois, B. Devolder, M. De Mey, and I. Daubechies. “Digital image processing of the ghent altarpiece: Supporting the painting's study and conservation treatment.” Ieee Signal Processing Magazine 32, no. 4 (July 1, 2015): 112–22. https://doi.org/10.1109/MSP.2015.2411753.
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    • Yang, Haizhao, Jianfeng Lu, W. P. Brown, I. Daubechies, and Lexing Ying. “Quantitative Canvas Weave Analysis Using 2-D Synchrosqueezed Transforms: Application of time-frequency analysis to art investigation.” Signal Processing Magazine, Ieee 32 (July 2015): 55–63. https://doi.org/10.1109/MSP.2015.2406882.
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    • Polatkan, Gungor, Mingyuan Zhou, Lawrence Carin, David Blei, and Ingrid Daubechies. “A Bayesian Nonparametric Approach to Image Super-Resolution.” Ieee Transactions on Pattern Analysis and Machine Intelligence 37, no. 2 (February 2015): 346–58. https://doi.org/10.1109/tpami.2014.2321404.
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    • Wang, Yi Grace, Hau-Tieng Wu, Ingrid Daubechies, Yabing Li, E Harvey Estes, and Elsayed Z. Soliman. “Automated J wave detection from digital 12-lead electrocardiogram.” Journal of Electrocardiology 48, no. 1 (January 2015): 21–28. https://doi.org/10.1016/j.jelectrocard.2014.10.006.
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    • Boyer, Doug M., Jesus Puente, Justin T. Gladman, Chris Glynn, Sayan Mukherjee, Gabriel S. Yapuncich, and Ingrid Daubechies. “A new fully automated approach for aligning and comparing shapes.” Anat Rec (Hoboken) 298, no. 1 (January 2015): 249–76. https://doi.org/10.1002/ar.23084.
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    • Wu, Hau-Tieng, Shu-Shua Hseu, Mauo-Ying Bien, Yu Ru Kou, and Ingrid Daubechies. “Evaluating physiological dynamics via synchrosqueezing: prediction of ventilator weaning.” Ieee Transactions on Bio Medical Engineering 61, no. 3 (March 2014): 736–44. https://doi.org/10.1109/tbme.2013.2288497.
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    • Cornelis, B., Y. Yang, J. T. Vogelstein, A. Dooms, I. Daubechies, and D. Dunson. “Bayesian crack detection in ultra high resolution multimodal images of paintings.” 2013 18th International Conference on Digital Signal Processing, Dsp 2013, December 6, 2013. https://doi.org/10.1109/ICDSP.2013.6622710.
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    • Wu, T., G. Polatkan, D. Steel, W. Brown, I. Daubechies, and R. Calderbank. “Painting analysis using wavelets and probabilistic topic models.” 2013 Ieee International Conference on Image Processing, Icip 2013  Proceedings, December 1, 2013, 3264–68. https://doi.org/10.1109/ICIP.2013.6738672.
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    • Charléty, J., S. Voronin, G. Nolet, I. Loris, F. J. Simons, K. Sigloch, and I. C. Daubechies. “Global seismic tomography with sparsity constraints: Comparison with smoothing and damping regularization.” Journal of Geophysical Research E: Planets 118, no. 9 (September 1, 2013): 4887–99. https://doi.org/10.1002/jgrb.50326.
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    • Anitha, A., A. Brasoveanu, M. Duarte, S. Hughes, I. Daubechies, J. Dik, K. Janssens, and M. Alfeld. “Restoration of X-ray fluorescence images of hidden paintings.” Signal Processing 93, no. 3 (March 1, 2013): 592–604. https://doi.org/10.1016/j.sigpro.2012.09.027.
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    • Cornelis, B., T. Ružić, E. Gezels, A. Dooms, A. Pižurica, L. Platiša, J. Cornelis, M. Martens, M. De Mey, and I. Daubechies. “Crack detection and inpainting for virtual restoration of paintings: The case of the Ghent Altarpiece.” Signal Processing 93, no. 3 (March 1, 2013): 605–19. https://doi.org/10.1016/j.sigpro.2012.07.022.
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    • Lipman, Y., J. Puente, and I. Daubechies. “Conformal Wasserstein distance: II. Computational aspects and extensions.” Mathematics of Computation 82, no. 281 (January 17, 2013): 331–81. https://doi.org/10.1090/S0025-5718-2012-02569-5.
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    • Roussos, E., S. Roberts, and I. Daubechies. “Variational Bayesian learning of sparse representations and its application in functional neuroimaging.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7263 LNAI (November 30, 2012): 218–25. https://doi.org/10.1007/978-3-642-34713-9_28.
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    • Cohen, A., I. Daubechies, R. DeVore, G. Kerkyacharian, and D. Picard. “Capturing Ridge Functions in High Dimensions from Point Queries.” Constructive Approximation 35, no. 2 (April 1, 2012): 225–43. https://doi.org/10.1007/s00365-011-9147-6.
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    • Anitha, A., A. Brasoveanu, M. F. Duarte, S. M. Hughes, I. Daubechies, J. Dik, K. Janssens, and M. Alfeld. “Virtual underpainting reconstruction from X-ray fluorescence imaging data.” European Signal Processing Conference, December 1, 2011, 1239–43.
    • Platiša, L., B. Cornells, T. Ružić, A. Pižurica, A. Dooms, M. Martens, M. De Mey, and I. Daubechies. “Spatiogram features to characterize pearls in paintings.” Proceedings  International Conference on Image Processing, Icip, December 1, 2011, 801–4. https://doi.org/10.1109/ICIP.2011.6116677.
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    • Simons, F. J., I. Loris, E. Brevdo, and I. C. Daubechies. “Wavelets and wavelet-like transforms on the sphere and their application to geophysical data inversion.” Proceedings of Spie  the International Society for Optical Engineering 8138 (November 2, 2011). https://doi.org/10.1117/12.892285.
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    • Boyer, D., Y. Lipman, E St Clair, J. Puente, T. Funkhouser, B. Patel, J. Jernvall, and I. Daubechies. “Algorithms to automatically quantify the geometric similarity of anatomical surfaces.” Proceedings of the National Academy of Sciences 108, no. 45 (November 2011): 18221–26.
    • Simons, F. J., I. Loris, G. Nolet, I. C. Daubechies, S. Voronin, J. S. Judd, P. A. Vetter, J. Charléty, and C. Vonesch. “Solving or resolving global tomographic models with spherical wavelets, and the scale and sparsity of seismic heterogeneity.” Geophysical Journal International 187, no. 2 (November 1, 2011): 969–88. https://doi.org/10.1111/j.1365-246X.2011.05190.x.
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    • Ružić, T., B. Cornelis, L. Platiša, A. Pižurica, A. Dooms, W. Philips, M. Martens, M. De Mey, and I. Daubechies. “Virtual restoration of the Ghent altarpiece using crack detection and inpainting.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6915 LNCS (September 2, 2011): 417–28. https://doi.org/10.1007/978-3-642-23687-7_38.
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    • Wolff, J., M. Martens, S. Jafarpour, I. Daubechies, and R. Calderbank. “Uncovering elements of style.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing  Proceedings, August 18, 2011, 1017–20. https://doi.org/10.1109/ICASSP.2011.5946579.
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    • Lipman, Y., and I. Daubechies. “Conformal Wasserstein distances: Comparing surfaces in polynomial time.” Advances in Mathematics 227, no. 3 (June 20, 2011): 1047–77. https://doi.org/10.1016/j.aim.2011.01.020.
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    • Bunn, Jonathan M., Doug M. Boyer, Yaron Lipman, Elizabeth M. St Clair, Jukka Jernvall, and Ingrid Daubechies. “Comparing Dirichlet normal surface energy of tooth crowns, a new technique of molar shape quantification for dietary inference, with previous methods in isolation and in combination.” American Journal of Physical Anthropology 145, no. 2 (June 2011): 247–61. https://doi.org/10.1002/ajpa.21489.
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    • Dooms, A., and I. Daubechies. “Wavelets,” April 29, 2011, 135–54. https://doi.org/10.1002/9783527635245.ch7.
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    • Wu, H. T., P. Flandrin, and I. Daubechies. “One or two frequencies? the synchrosqueezing answers.” Advances in Adaptive Data Analysis 3, no. 1–2 (April 1, 2011): 29–39. https://doi.org/10.1142/S179353691100074X.
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    • Daubechies, Ingrid, Jianfeng Lu, and Hau-Tieng Wu. “Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool.” Applied and Computational Harmonic Analysis 30, no. 2 (March 2011): 243–61. https://doi.org/10.1016/j.acha.2010.08.002.
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    • Lipman, Yaron, Reema Al-Aifari, and Ingrid Daubechies. “The continuous Procrustes distance between two surfaces (Accepted).” Communications in Pure and Applied Mathematics, 2011.
    • Daubechies, I. “The work of Yves Meyer.” Proceedings of the International Congress of Mathematicians 2010, Icm 2010, December 1, 2010, 114–24.
    • Daubechies, I., C. S. Güntürk, Y. Wang, and O. Yilmaz. “The golden ratio encoder.” Ieee Transactions on Information Theory 56, no. 10 (October 1, 2010): 5097–5110. https://doi.org/10.1109/TIT.2010.2059750.
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    • Lipman, Y., X. Chen, I. Daubechies, and T. Funkhouser. “Symmetry factored embedding and distance.” Acm Siggraph 2010 Papers, Siggraph 2010, July 26, 2010. https://doi.org/10.1145/1778765.1778840.
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    • Daubechies, I. “Wavelets and applications,” July 18, 2010, 848–62.
    • Loris, I., H. Douma, G. Nolet, I. Daubechies, and C. Regone. “Nonlinear regularization techniques for seismic tomography.” Journal of Computational Physics 229, no. 3 (February 1, 2010): 890–905. https://doi.org/10.1016/j.jcp.2009.10.020.
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    • Daubechies, I., R. Devore, M. Fornasier, and C. S. Güntürk. “Iteratively reweighted least squares minimization for sparse recovery.” Communications on Pure and Applied Mathematics 63, no. 1 (January 1, 2010): 1–38. https://doi.org/10.1002/cpa.20303.
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    • Kobiler, Oren, Yaron Lipman, Kate Therkelsen, Ingrid Daubechies, and Lynn W. Enquist. “Herpesviruses carrying a Brainbow cassette reveal replication and expression of limited numbers of incoming genomes.” Nature Communications 1 (January 2010): 146. https://doi.org/10.1038/ncomms1145.
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    • Jafarpour, S., G. Polatkan, E. Brevdo, S. Hughes, A. Brasoveanu, and I. Daubechies. “Stylistic analysis of paintings using wavelets and machine learning.” European Signal Processing Conference, December 1, 2009, 1220–24.
    • Brodie, Joshua, Ingrid Daubechies, Christine De Mol, Domenico Giannone, and Ignace Loris. “Sparse and stable Markowitz portfolios.” Proceedings of the National Academy of Sciences of the United States of America 106, no. 30 (July 15, 2009): 12267–72. https://doi.org/10.1073/pnas.0904287106.
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    • Daubechies, I., E. Roussos, S. Takerkart, M. Benharrosh, C. Golden, K. D’Ardenne, W. Richter, J. D. Cohen, and J. Haxby. “Independent component analysis for brain fMRI does not select for independence.” Proceedings of the National Academy of Sciences of the United States of America 106, no. 26 (June 25, 2009): 10415–22. https://doi.org/10.1073/pnas.0903525106.
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    • Daubechies, I. “The wavelet transform, time-frequency localization and signal analysis,” January 10, 2009, 442–86.
    • Daubechies, I., A. Grossmann, and Y. Meyer. “Painless nonorthogonal expansions,” January 10, 2009, 372–84.
    • Polatkan, G., S. Jafarpour, A. Brasoveanu, S. Hughes, and I. Daubechies. “Detection of forgery in paintings using supervised learning.” Proceedings  International Conference on Image Processing, Icip, January 1, 2009, 2921–24. https://doi.org/10.1109/ICIP.2009.5413338.
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    • Daubechies, I., M. Fornasier, and I. Loris. “Accelerated projected gradient method for linear inverse problems with sparsity constraints.” Journal of Fourier Analysis and Applications 14, no. 5–6 (December 1, 2008): 764–92. https://doi.org/10.1007/s00041-008-9039-8.
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    • Daubechies, I., R. DeVore, M. Fornasier, and S. Güntürk. “Iteratively Re-weighted Least Squares minimization: Proof of faster than linear rate for sparse recovery.” Ciss 2008, the 42nd Annual Conference on Information Sciences and Systems, September 24, 2008, 26–29. https://doi.org/10.1109/CISS.2008.4558489.
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    • Daubechies, I., G. Teschke, and L. Vese. “On some iterative concepts for image restoration.” Advances in Imaging and Electron Physics 150 (January 1, 2008): 1–51. https://doi.org/10.1016/S1076-5670(07)00001-8.
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    • Johnson, C. R., E. Hendriks, I. J. Berezhnoy, E. Brevdo, S. M. Hughes, I. Daubechies, J. Li, E. Postma, and J. Z. Wang. “Image processing for artist identification: Computerized analysis of Vincent van Gogh's painting brushstrokes.” Ieee Signal Processing Magazine 25, no. 4 (January 1, 2008): 37–48. https://doi.org/10.1109/MSP.2008.923513.
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    • Rudin, C., R. E. Schapire, and I. Daubechies. “Analysis of boosting algorithms using the smooth margin function.” Annals of Statistics 35, no. 6 (December 1, 2007): 2723–68. https://doi.org/10.1214/009053607000000785.
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    • Cvetkovic, Z., I. Daubechies, and B. F. Logan. “Single-bit oversampled A/D conversion with exponential accuracy in the bit rate.” Ieee Transactions on Information Theory 53, no. 11 (November 1, 2007): 3979–89. https://doi.org/10.1109/TIT.2007.907508.
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    • Daubechies, I., O. Runborg, and J. Zou. “A sparse spectral method for homogenization multiscale problems.” Multiscale Modeling and Simulation 6, no. 3 (August 1, 2007): 711–40. https://doi.org/10.1137/060676258.
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    • Loris, I., G. Nolet, I. Daubechies, and F. A. Dahlen. “Tomographic inversion using ℓ1-norm regularization of wavelet coefficients.” Geophysical Journal International 170, no. 1 (July 1, 2007): 359–70. https://doi.org/10.1111/j.1365-246X.2007.03409.x.
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    • Daubechies, I., R. Lazarsfeld, J. Morgan, A. Okounkov, and T. Tao. “Reply to Davey, Henriksen, Marković and Pratt [4].” Notices of the American Mathematical Society 54, no. 6 (June 1, 2007): 694.
    • Daubechies, I., G. Teschke, and L. Vese. “Iteratively solving linear inverse problems under general convex constraints.” Inverse Problems and Imaging 1, no. 1 (January 1, 2007): 29–46. https://doi.org/10.3934/ipi.2007.1.29.
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    • Hughes, S. M., and I. Daubechies. “Simpler alternatives to information theoretic similarity metrics for multimodal image alignment.” Proceedings  International Conference on Image Processing, Icip, December 1, 2006, 365–68. https://doi.org/10.1109/ICIP.2006.313169.
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    • Daubechies, I., and O. Yilmaz. “Robust and practical analog-to-digital conversion with exponential precision.” Ieee Transactions on Information Theory 52, no. 8 (August 1, 2006): 3533–45. https://doi.org/10.1109/TIT.2006.878220.
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    • Daubechies, I., R. A. DeVore, C. S. Güntürk, and V. A. Vaishampayan. “A/D conversion with imperfect quantizers.” Ieee Transactions on Information Theory 52, no. 3 (March 1, 2006): 874–85. https://doi.org/10.1109/TIT.2005.864430.
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    • Zou, J., A. Gilbert, M. Strauss, and I. Daubechies. “Theoretical and experimental analysis of a randomized algorithm for Sparse Fourier transform analysis.” Journal of Computational Physics 211, no. 2 (January 20, 2006): 572–95. https://doi.org/10.1016/j.jcp.2005.06.005.
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    • Roussos, E., S. Roberts, and I. Daubechies. “Variational Bayesian learning for wavelet independent component analysis.” Aip Conference Proceedings 803 (November 23, 2005): 274–81. https://doi.org/10.1063/1.2149805.
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    • Daubechies, I., and G. Teschke. “Variational image restoration by means of wavelets: Simultaneous decomposition, deblurring, and denoising.” Applied and Computational Harmonic Analysis 19, no. 1 (July 1, 2005): 1–16. https://doi.org/10.1016/j.acha.2004.12.004.
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    • Pierpaoli, E., S. Anthoine, K. Huffenberger, and I. Daubechies. “Reconstructing Sunyaev-Zel'dovich clusters in future cosmic microwave background experiments.” Monthly Notices of the Royal Astronomical Society 359, no. 1 (May 1, 2005): 261–71. https://doi.org/10.1111/j.1365-2966.2005.08896.x.
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    • Daubechies, I., K. Drakakis, and T. Khovanova. “A detailed study of the attachment strategies of new autonomous systems in the as connectivity graph.” Internet Mathematics 2, no. 2 (January 1, 2005): 185–246. https://doi.org/10.1080/15427951.2005.10129103.
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    • Daubechies, I., and E. H. Lieb. “One-electron relativistic molecules with coulomb interaction,” January 1, 2005, 471–84. https://doi.org/10.1007/3-540-27056-6_33.
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    • Rudin, C., I. Daubechies, and R. E. Schapire. “The dynamics of AdaBoost: Cyclic behavior and convergence of margins.” Journal of Machine Learning Research 5 (December 1, 2004): 1557–95.
    • Daubechies, I., M. Defrise, and C. De Mol. “An iterative thresholding algorithm for linear inverse problems with a sparsity constraint.” Communications on Pure and Applied Mathematics 57, no. 11 (November 1, 2004): 1413–57. https://doi.org/10.1002/cpa.20042.
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    • Daubechies, I., and G. Teschke. “Wavelet based image decomposition by variational functionals.” Proceedings of Spie  the International Society for Optical Engineering 5266 (May 10, 2004): 94–105. https://doi.org/10.1117/12.516051.
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    • Daubechies, I., O. Runborg, and W. Sweldens. “Normal multiresolution approximation of curves.” Constructive Approximation 20, no. 3 (January 1, 2004): 399–463. https://doi.org/10.1007/s00365-003-0543-4.
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    • Daubechies, I., and B. Han. “Pairs of dual wavelet frames from any two refinable functions.” Constructive Approximation 20, no. 3 (January 1, 2004): 325–52. https://doi.org/10.1007/s00365-004-0567-4.
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    • Rudin, C., R. E. Schapire, and I. Daubechies. “Boosting based on a smooth margin.” Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) 3120 (January 1, 2004): 502–17. https://doi.org/10.1007/978-3-540-27819-1_35.
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    • Cohen, A., W. Dahmen, I. Daubechies, and R. DeVore. “Harmonic analysis of the space BV.” Revista Matematica Iberoamericana 19, no. 1 (January 1, 2003): 235–63. https://doi.org/10.4171/RMI/345.
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    • Daubechies, I., B. Han, A. Ron, and Z. Shen. “Framelets: MRA-based constructions of wavelet frames.” Applied and Computational Harmonic Analysis 14, no. 1 (January 1, 2003): 1–46. https://doi.org/10.1016/S1063-5203(02)00511-0.
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    • Daubechies, I., and R. Devore. “Approximating a bandlimited function using very coarsely quantized data: A family of stable sigma-delta modulators of arbitrary order.” Annals of Mathematics 158, no. 2 (January 1, 2003): 679–710. https://doi.org/10.4007/annals.2003.158.679.
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    • Cohen, A., I. Daubechies, O. G. Guleryuz, and M. T. Orchard. “On the importance of combining wavelet-based nonlinear approximation with coding strategies.” Ieee Transactions on Information Theory 48, no. 7 (July 1, 2002): 1895–1921. https://doi.org/10.1109/TIT.2002.1013132.
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    • Daubechies, I., and F. Planchon. “Adaptive Gabor transforms.” Applied and Computational Harmonic Analysis 13, no. 1 (July 1, 2002): 1–21. https://doi.org/10.1016/S1063-5203(02)00003-9.
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    • Calderbank, A. R., and I. Daubechies. “The pros and cons of democracy.” Ieee Transactions on Information Theory 48, no. 6 (June 1, 2002): 1721–25. https://doi.org/10.1109/TIT.2002.1003852.
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    • Daubechies, I., and B. Han. “The canonical dual frame of a wavelet frame.” Applied and Computational Harmonic Analysis 12, no. 3 (May 1, 2002): 269–85. https://doi.org/10.1006/acha.2002.0381.
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    • Daubechies, I., R. DeVore, C. S. Güntürk, and V. A. Vaishampayan. “Beta expansions: A new approach to digitally corrected A/D conversion.” Proceedings  Ieee International Symposium on Circuits and Systems 2 (January 1, 2002): 784–87. https://doi.org/10.1109/ISCAS.2002.1011470.
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    • Daubechies, I., I. Guskov, and W. Sweldens. “Commutation for irregular subdivision.” Constructive Approximation 17, no. 4 (December 1, 2001): 479–513. https://doi.org/10.1007/s00365-001-0001-0.
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    • Cohen, A., W. Dahmen, I. Daubechies, and R. Devore. “Tree Approximation and Optimal Encoding.” Applied and Computational Harmonic Analysis 11, no. 2 (September 1, 2001): 192–226. https://doi.org/10.1006/acha.2001.0336.
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    • Balan, R., I. Daubechies, and V. Vaishampayan. “The analysis and design of windowed fourier frame based multiple description source coding schemes.” Ieee Transactions on Information Theory 46, no. 7 (December 1, 2000): 2491–2536. https://doi.org/10.1109/18.887860.
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    • Cvetkovic, Z., and I. Daubechies. “Single-bit oversampled A/D conversion with exponential accuracy in the bit-rate.” Data Compression Conference Proceedings, January 1, 2000, 343–52.
    • Daubechies, I., I. Guskov, P. Schröder, and W. Sweldens. “Wavelets on irregular point sets.” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 357, no. 1760 (January 1, 1999): 2397–2413. https://doi.org/10.1098/rsta.1999.0439.
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    • Daubechies, I., I. Guskov, and W. Sweldens. “Regularity of irregular subdivision.” Constructive Approximation 15, no. 3 (January 1, 1999): 381–426. https://doi.org/10.1007/s003659900114.
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    • Daubechies, I. “Preface.” Wavelet Analysis and Its Applications 9, no. C (December 1, 1998): 5. https://doi.org/10.1016/S1874-608X(98)80024-1.
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    • Donoho, D. L., M. Vetterli, R. A. Devore, and I. Daubechies. “Data compression and harmonic analysis.” Ieee Transactions on Information Theory 44, no. 6 (December 1, 1998): 2435–76. https://doi.org/10.1109/18.720544.
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    • Calderbank, A. R., I. Daubechies, W. Sweldens, and B. L. Yeo. “Wavelet Transforms That Map Integers to Integers.” Applied and Computational Harmonic Analysis 5, no. 3 (January 1, 1998): 332–69. https://doi.org/10.1006/acha.1997.0238.
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    • Daubechies, I. “Recent results in wavelet applications.” Journal of Electronic Imaging 7, no. 4 (January 1, 1998): 719–24. https://doi.org/10.1117/1.482659.
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    • Daubechies, I., and W. Sweldens. “Factoring Wavelet Transforms into Lifting Steps.” Journal of Fourier Analysis and Applications 4, no. 3 (January 1, 1998). https://doi.org/10.1007/bf02476026.
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    • Calderbank, A. R., I. Daubechies, W. Sweldens, and B. L. Yeo. “Lossless image compression using integer to integer wavelet transforms.” Ieee International Conference on Image Processing 1 (December 1, 1997): 596–99.
    • Chassande-Mottin, E., I. Daubechies, F. Auger, and P. Flandrin. “Differential reassignment.” Ieee Signal Processing Letters 4, no. 10 (December 1, 1997): 293–94. https://doi.org/10.1109/97.633772.
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    • Daubechies, I. “From the Original Framer to Present-Day Time-Freuency and Time-Scale Frames.” Journal of Fourier Analysis and Applications 3, no. 5 (December 1, 1997).
    • Unser, M., and I. Daubechies. “On the approximation power of convolution-based least squares versus interpolation.” Ieee Transactions on Signal Processing 45, no. 7 (December 1, 1997): 1697–1711. https://doi.org/10.1109/78.599940.
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    • Cohen, A., I. Daubechies, and G. Plonka. “Regularity of Refinable Function Vectors.” Journal of Fourier Analysis and Applications 3, no. 3 (January 1, 1997). https://doi.org/10.1007/bf02649113.
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    • Daubechies, I. “Where do wavelets come from? - a personal point of view.” Proceedings of the Ieee 84, no. 4 (April 1, 1996): 510–13. https://doi.org/10.1109/5.488696.
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    • Cohen, A., I. Daubechies, and A. Ron. “How smooth is the smoothest function in a given refinable space?” Applied and Computational Harmonic Analysis 3, no. 1 (January 1, 1996): 87–89. https://doi.org/10.1006/acha.1996.0008.
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    • Cohen, A., and I. Daubechies. “A new technique to estimate the regularity of refinable functions.” Revista Matematica Iberoamericana 12, no. 2 (January 1, 1996): 527–91. https://doi.org/10.4171/RMI/207.
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    • Daubechies, I., and Y. Huang. “How does truncation of the mask affect a refinable function?” Constructive Approximation 11, no. 3 (September 1, 1995): 365–80. https://doi.org/10.1007/BF01208560.
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    • Friedlander, S., J. S. Birman, and I. Daubechies. “A celebration or women in mathematics.” Notices of the American Mathematical Society 42, no. 1 (January 1, 1995): 32–42.
    • Daubechies, I. “Two Recent Results on Wavelets: Wavelet Bases for the Interval, and Biorthogonal Wavelets Diagonalizing the Derivative Operator.” Wavelet Analysis and Its Applications 3, no. C (January 1, 1994): 237–57. https://doi.org/10.1016/B978-0-12-632370-2.50013-1.
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    • Daubechies, I., H. J. Landau, and Z. Landau. “Gabor Time-Frequency Lattices and the Wexler-Raz Identity.” Journal of Fourier Analysis and Applications 1, no. 4 (January 1, 1994): 437–78. https://doi.org/10.1007/s00041-001-4018-3.
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    • Daubechies, I., and Y. Huang. “A decay theorem for refinable functions.” Applied Mathematics Letters 7, no. 4 (January 1, 1994): 1–4. https://doi.org/10.1016/0893-9659(94)90001-9.
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    • Cohen, A., I. Daubechies, and P. Vial. “Wavelets on the interval and fast wavelet transforms.” Applied and Computational Harmonic Analysis 1, no. 1 (January 1, 1993): 54–81. https://doi.org/10.1006/acha.1993.1005.
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    • Daubechies, I. “Two Theorems on Lattice Expansions.” Ieee Transactions on Information Theory 39, no. 1 (January 1, 1993): 3–6. https://doi.org/10.1109/18.179336.
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    • Daubechies, I., and J. C. Lagarias. “Sets of matrices all infinite products of which converge.” Linear Algebra and Its Applications 161, no. C (January 15, 1992): 227–63. https://doi.org/10.1016/0024-3795(92)90012-Y.
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    • Antonini, M., M. Barlaud, P. Mathieu, and I. Daubechies. “Image coding using wavelet transform.” Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society 1, no. 2 (January 1992): 205–20. https://doi.org/10.1109/83.136597.
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    • Cohen, A., I. Daubechies, and J. ‐. Feauveau. “Biorthogonal bases of compactly supported wavelets.” Communications on Pure and Applied Mathematics 45, no. 5 (January 1, 1992): 485–560. https://doi.org/10.1002/cpa.3160450502.
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    • Cohen, A., and I. Daubechies. “A stability criterion for biorthogonal wavelet bases and their related subband coding scheme.” Duke Mathematical Journal 68, no. 2 (January 1, 1992): 313–35. https://doi.org/10.1215/S0012-7094-92-06814-1.
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    • Antonini, M., M. Barlaud, P. Mathieu, and I. Daubechies. “Image coding using vector quantization in the wavelet transform domain.” Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing  Proceedings 4 (December 1, 1990): 2297–2300.
    • Daubechies, I. “The Wavelet Transform, Time-Frequency Localization and Signal Analysis.” Ieee Transactions on Information Theory 36, no. 5 (January 1, 1990): 961–1005. https://doi.org/10.1109/18.57199.
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    • Daubechies, I. “Wavelets: A tool for time-frequency analysis,” December 1, 1989, 98.
    • Daubechies, I. “Wavelet transform, time-frequency localization and signal analysis” 25 n 13 (December 1, 1988): 42.
    • Daubechies, I., and T. Paul. “Time-frequency localisation operators-a geometric phase space approach: II. The use of dilations.” Inverse Problems 4, no. 3 (December 1, 1988): 661–80. https://doi.org/10.1088/0266-5611/4/3/009.
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    • Daubechies, I. “Orthonormal bases of compactly supported wavelets.” Communications on Pure and Applied Mathematics 41, no. 7 (January 1, 1988): 909–96. https://doi.org/10.1002/cpa.3160410705.
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    • Daubechies, I. “Time-Frequency Localization Operators: A Geometric Phase Space Approach.” Ieee Transactions on Information Theory 34, no. 4 (January 1, 1988): 605–12. https://doi.org/10.1109/18.9761.
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    • Daubechies, I., and A. Grossmann. “Frames in the bargmann space of entire functions.” Communications on Pure and Applied Mathematics 41, no. 2 (January 1, 1988): 151–64. https://doi.org/10.1002/cpa.3160410203.
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    • Daubechies, I., J. R. Klauder, and T. Paul. “Wiener measures for path integrals with affine kinematic variables.” Journal of Mathematical Physics 28, no. 1 (January 1, 1987): 85–102. https://doi.org/10.1063/1.527812.
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    • Daubechies, I., A. Grossmann, and Y. Meyer. “Painless nonorthogonal expansions.” Journal of Mathematical Physics 27, no. 5 (January 1, 1986): 1271–83. https://doi.org/10.1063/1.527388.
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    • Daubechies, I., and J. R. Klauder. “Quantum-mechanical path integrals with Wiener measure for all polynomial Hamiltonians. II.” Journal of Mathematical Physics 26, no. 9 (January 1, 1985): 2239–56. https://doi.org/10.1063/1.526803.
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    • Daubechies, I. “One electron molecules with relativistic kinetic energy: Properties of the discrete spectrum.” Communications in Mathematical Physics 94, no. 4 (December 1, 1984): 523–35. https://doi.org/10.1007/BF01403885.
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    • Daubechies, I., and E. H. Lieb. “Relativistic Molecules with Coulomb Interaction.” North Holland Mathematics Studies 92, no. C (January 1, 1984): 143–48. https://doi.org/10.1016/S0304-0208(08)73689-2.
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    • Klauder, J. R., and I. Daubechies. “Quantum Mechanical Path Integrals with Wiener Measures for all Polynomial Hamiltonians.” Physical Review Letters 52, no. 14 (January 1, 1984): 1161–64. https://doi.org/10.1103/PhysRevLett.52.1161.
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    • Daubechies, I. “An uncertainty principle for fermions with generalized kinetic energy.” Communications in Mathematical Physics 90, no. 4 (December 1, 1983): 511–20. https://doi.org/10.1007/BF01216182.
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    • Daubechies, I., and E. H. Lieb. “One-electron relativistic molecules with Coulomb interaction.” Communications in Mathematical Physics 90, no. 4 (December 1, 1983): 497–510. https://doi.org/10.1007/BF01216181.
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    • Daubechies, I., and J. R. Klauder. “Measures for more quadratic path integrals.” Letters in Mathematical Physics 7, no. 3 (May 1, 1983): 229–34. https://doi.org/10.1007/BF00400438.
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    • Daubechies, I. “Continuity statements and counterintuitive examples in connection with Weyl quantization.” Journal of Mathematical Physics 24, no. 6 (January 1, 1982): 1453–61. https://doi.org/10.1063/1.525882.
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    • Daubechies, I., A. Grossmann, and J. Reignier. “An integral transform related to quantization. II. Some mathematical properties.” Journal of Mathematical Physics 24, no. 2 (January 1, 1982): 239–54. https://doi.org/10.1063/1.525699.
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    • Klauder, J. R., and I. Daubechies. “Measures for path integrals.” Physical Review Letters 48, no. 3 (January 1, 1982): 117–20. https://doi.org/10.1103/PhysRevLett.48.117.
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    • Daubechies, I., and J. R. Klauder. “Constructing measures for path integrals.” Journal of Mathematical Physics 23, no. 10 (January 1, 1981): 1806–22. https://doi.org/10.1063/1.525234.
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    • Daubechies, I. “On the distributions corresponding to bounded operators in the Weyl quantization.” Communications in Mathematical Physics 75, no. 3 (October 1, 1980): 229–38. https://doi.org/10.1007/BF01212710.
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    • Aerts, D., and I. Daubechies. “A mathematical condition for a sublattice of a propositional system to represent a physical subsystem, with a physical interpretation.” Letters in Mathematical Physics 3, no. 1 (January 1, 1979): 19–27. https://doi.org/10.1007/BF00959534.
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    • Aerts, D., and I. Daubechies. “A characterization of subsystems in physics.” Letters in Mathematical Physics 3, no. 1 (January 1, 1979): 11–17. https://doi.org/10.1007/BF00959533.
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    • Daubechies, I., and A. Grossmann. “An integral transform related to quantization.” Journal of Mathematical Physics 21, no. 8 (January 1, 1979): 2080–90. https://doi.org/10.1063/1.524702.
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    • Daubechies, I. “An application of hyperdifferential operators to holomorphic quantization.” Letters in Mathematical Physics 2, no. 6 (November 1, 1978): 459–69. https://doi.org/10.1007/BF00398498.
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    • Cornelis, B., H. Yang, A. Goodfriend, N. Ocon, J. Lu, and I. Daubechies. “Removal of Canvas Patterns in Digital Acquisitions of Paintings (Accepted).” Ieee Transactions on Image Processing, n.d.
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    • Xu, J. X., H. Y. Yang, and I. D. Daubechies. “Recursive Diffeomorphism-Based Regression for Shape Functions (Submitted),” n.d.
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  • Book Sections

    • Voronin, S., and I. Daubechies. “An iteratively reweighted least squares algorithm for sparse regularization.” In Contemporary Mathematics, 693:391–411, 2017. https://doi.org/10.1090/conm/693/13941.
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    • Daubechies, I. “Foreword,” 9781400827268:xv–xvi, 2009. https://doi.org/10.1515/9781400827268.xv.
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  • Conference Papers

    • Pu, W., B. Sober, N. Daly, C. Higgitt, I. Daubechies, and M. R. D. Rodrigues. “A connected auto-encoders based approach for image separation with side information: With applications to art investigation.” In Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing  Proceedings, 2020-May:2213–17, 2020. https://doi.org/10.1109/ICASSP40776.2020.9054651.
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    • Deligiannis, Nikos, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, and Ingrid Daubechies. “Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation.” In Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society, 26:751–64, 2017. https://doi.org/10.1109/tip.2016.2623484.
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    • Deligiannis, N., J. F. C. Mota, B. Cornelis, M. R. D. Rodrigues, and I. Daubechies. “X-ray image separation via coupled dictionary learning.” In Proceedings  International Conference on Image Processing, Icip, 2016-August:3533–37, 2016. https://doi.org/10.1109/ICIP.2016.7533017.
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    • Yin, R., E. Monson, E. Honig, I. Daubechies, and M. Maggioni. “Object recognition in art drawings: Transfer of a neural network.” In Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing  Proceedings, 2016-May:2299–2303, 2016. https://doi.org/10.1109/ICASSP.2016.7472087.
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    • Yin, R., D. Dunson, B. Cornelis, B. Brown, N. Ocon, and I. Daubechies. “Digital cradle removal in X-ray images of art paintings.” In 2014 Ieee International Conference on Image Processing, Icip 2014, 4299–4303, 2014. https://doi.org/10.1109/ICIP.2014.7025873.
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    • Bourguignon, J. P., I. Daubechies, M. H. Kim, and Y. Park. “Why STEM (science, technology, engineering and mathematics)?” In Proceeding of the International Congress of Mathematicans, Icm 2014, 1:787–97, 2014.
    • Puente, Jesus, Douglas M. Boyer, Justin T. Gladman, and Ingrid C. Daubechies. “Automated approaches to geometric morphometrics.” In American Journal of Physical Anthropology, 150:226–226. WILEY-BLACKWELL, 2013.
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    • Rudin, C., I. Daubechies, and R. E. Schapire. “On the dynamics of boosting.” In Advances in Neural Information Processing Systems, 2004.
    • Cvetković, Z., I. Daubechies, and B. F. Logan. “Interpolation of bandlimited functions from quantized irregular samples.” In Data Compression Conference Proceedings, 2002-January:412–21, 2002. https://doi.org/10.1109/DCC.2002.999981.
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    • Daubechies, I. “Recent results in wavelet applications.” In Proceedings of Spie  the International Society for Optical Engineering, 3391:2–9, 1998. https://doi.org/10.1117/12.304919.
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    • Moayeri, N., I. Daubechies, Q. Song, and H. S. Wang. “Wavelet transform image coding using trellis coded vector quantization.” In Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing  Proceedings, 4:405–8, 1992. https://doi.org/10.1109/ICASSP.1992.226350.
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• Teaching & Mentoring
• 

  Recent Courses

  • MATH 240: Introduction to Applied Mathematics: Modeling, Equations and Proofs 2021
  • MATH 393: Research Independent Study 2021
  • MATH 494: Research Independent Study 2021
  • MATH 635: Functional Analysis 2021
  • CHEM 89S: First-Year Seminar 2020
  • MATH 89S: First-Year Seminar 2020
  • MATH 212D: Multivariable Calculus 2020
  • MATH 240: Introduction to Applied Mathematics: Modeling, Equations and Proofs 2020
  • MATH 393: Research Independent Study 2020
  • MATH 712D: Multivariable Calculus 2020
  • ECE 392: Projects in Electrical and Computer Engineering 2019
  • MATH 112L: Laboratory Calculus II 2019
  • MATH 240: Introduction to Applied Mathematics: Modeling, Equations and Proofs 2019
• Scholarly, Clinical, & Service Activities
• 

  Presentations & Appearances

  • Animation, Skeletons and Teeth. October 24, 2012  2012
  • Iterated Least Squares method for Inverse Problems with a Sparsity Constraint. August 23, 2012  2012
  • Dicsrete Differential Geometry with Applications to Biology. April 12, 2012  2012
  • 4th Honorary Lytle Lecturer. April 1, 2012  2012
  • Keynote speaker at Nebraska Conference for Undergraduate Women in Mathematics. January 27, 2012  2012
  • Iterated Least Squares method for Inverse Problems with a Sparsity Constraint. January 22, 2012  2012
  • von Neumann lecture. July 18, 2011  2011
• 

  Outreach & Engaged Scholarship

  • Bass Connections Faculty Team Leader. Data+ Project Lead. 2017  2017
  • Bass Connections Faculty Team Member. Image Processing Algorithms for Art Conservation. August 2016 - May 2017  2016 - 2017
  • Bass Connections Faculty Team Member . Data+. June 2015 - August 2015  2015
• 

  Service to the Profession

  • Chair : NRC Panel on World Digital Library in Mathematics. January 22, 2012  2012
  • President : International Mathematical Union. January 22, 2012  2012
• 

  Service to Duke

  • Alumni Liaison/External Relations. Duke Mathematics Department. August 2019  2019

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