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Ingrid Daubechies, James B. Duke Distinguished Professor

Ingrid Daubechies
Contact Info:
Office Location:  111 Physics
Office Phone:  (919) 660-2805
Email Address: send me a message
Web Pages:  https://math.duke.edu/people/ingrid-daubechies
https://ece.duke.edu/faculty/ingrid-daubechies

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:

Recent Publications   (More Publications)

  1. Duprez, F; Crombin, M; Daubechies, I; Devries, N; Durant, V; El Khalil, M; Audag, N, [Update on manual bronchial clearance techniques (adults and adolescents)]., Revue Des Maladies Respiratoires, vol. 41 no. 1 (January, 2024), pp. 43-50 [doi]  [abs]
  2. Xu, J; Li, Y; Yang, H; Dunson, D; Daubechies, I, PiPs: A kernel-based optimization scheme for analyzing non-stationary 1D signals, Applied and Computational Harmonic Analysis, vol. 66 (September, 2023), pp. 1-17 [doi]  [abs]
  3. Balmaceda, JM; Clemens, CH; Daubechies, I; Pineda, AR; Rusu, G; Waldschmidt, M, Graduate Assistantships in Developing Countries (GRAID) Supporting Mathematics Graduate Students in the Countries that Need it Most, Notices of the American Mathematical Society, vol. 70 no. 8 (September, 2023), pp. 1281-1284 [doi]
  4. Daubechies, I; Devore, R; Dym, N; Faigenbaum-Golovin, S; Kovalsky, SZ; Lin, KC; Park, J; Petrova, G; Sober, B, Neural Network Approximation of Refinable Functions, Ieee Transactions on Information Theory, vol. 69 no. 1 (January, 2023), pp. 482-495 [doi]  [abs]
  5. Pu, W; Sober, B; Daly, N; Zhou, C; Sabetsarvestani, Z; Higgitt, C; Daubechies, I; Rodrigues, MRD, Image Separation With Side Information: A Connected Auto-Encoders Based Approach., Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society, vol. 32 (January, 2023), pp. 2931-2946 [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, 2019/10-2023/09.      

 

dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320