Ingrid Daubechies, Professor and James B. Duke Professor of Mathematics.

Contact Info:

Office Location:	111 Physics
Office Phone:	919-660-2805
Email Address:

Teaching (Spring 2015):

• MATH 181.01, MATH EVERYWHERE Synopsis

  Physics 154, TuTh 10:05 AM-11:20 AM

• MATH 790-90.03, MINICOURSE IN ADVANCED TOPICS Synopsis

  Physics 205, TuTh 11:45 AM-01:00 PM

Specialties:

Applied Math
Analysis

Postdocs Mentored

• Rayan Saab (2012/01-present)  

Recent Publications   (More Publications)

1. B. Cornelis, T.Ruzic, E.Gezels, A.Dooms, A.Pizurica, L.Platisa, J.Cornelis, M. Martens, M.DeMey, I.Daubechies, Crack detection and inpainting for virtual restoration of paintings: The case of the Ghent Altarpiece, Signal Processing, vol. 93 (2013), pp. 605-619, Elsevier [S0165168412002526]  [abs]
2. I. Daubechies, Developing Mathematical Tools to Investigate Art, in Bridges 2012 Proceedings, edited by Robert Bosch, Douglas McKenna, and Reza Sarhangi (2012), Jacobs Publishing, http://www.mathartfun.com  [abs]
3. G. Polatkan, M. Zhou, L. Carin, D. Blei, and I. Daubechies, A Bayesian nonparametric approach to image super-resolution (Submitted, 2012) [5019]  [abs]
4. D. Boyer, Y. Lipman, E. St. Clair, J. Puente, T. Funkhouser, B. Patel, J. Jernvall, I. Daubechies, Algorithms to automatically quantify the geometric similarity of anatomical surfaces, Proceedings of the National Academy of Sciences, vol. 108 no. 45 (November 8, 2011), pp. 18221-6, ISSN 1091-6490 [arXiv:1110.3649 [math.NA]]  [abs]
5. J.M. Bunn, D.M. Boyer, Y. Lipman, E.M. St. Clair, J. Jernvall and I. 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, Am. J. Physical Anthropology, vol. 145 (2011), pp. 247-261  [abs]

Recent Grant Support

• The Keck Automated Phenotyping Algorithm Initiative (KAPAI), W.M. Keck Foundation, 2014/08-2016/09.      
• Structured Dictionary Models and Learning for High Resolution Images, National Science Foundation, DMS-1320655, 2013/08-2016/07.      
• Discovery of Empirical Components by Information Theory, Random Matrix Theory, and Computational Topology, Princeton University, 00002113, 2013/02-2016/02.