Math @ Duke

William K. Allard, Professor Emeritus
1. My main research effort will be to continue my collaboration with the Data Driven Modeling and Analysis group at LANL. This group works for the most part in the area of image processing.
2. I will continue to work as an investigator on Tom Kepler's NIH contract. My contribution is to provide analyis and parallel computing support for simulations.  Contact Info:
 Office Hours:
 Monday, Wednesday and Friday, 11:15am12:15pm, 2:00pm3:00pm, and by appointment.
 Education:
Ph.D.  Brown University  1968 
B.S.  Villanova University  1963 
 Specialties:

Applied Math
Analysis Geometry
 Research Interests: Scientific computing, particularly distributed computing; differential geometry; geometric measure theory; partial differential equations.
1. My main research effort will be to continue my collaboration with the Data Driven Modeling and Analysis group at LANL. This group works for the most part in the area of image processing.
2. I will continue to work as an investigator on Tom Kepler's NIH contract. My contribution is to provide analyis and parallel computing support for simulations.
 Current Ph.D. Students
(Former Students)
 Recent Publications
(More Publications)
 W.K. Allard, Guanglian Chen, Mauro Maggioni, W.K. Allard, G. Chen, M. Maggioni Multiscale Geometric Methods for Data Sets II: Geometric Wavelets,
to appear in ACHA
(2011)
 W.K. Allard, A boundary approximation algorithm for planar domains
(Preprint, 2009) [pdf]
 Allard, WK, Total variation for image denoising: III. Examples,
Siam Journal on Imaging Sciences, vol. 2
(2009) [pdf]
 Allard, WK, Total variation regularization for image denoising, geometric theory,
Siam Journal on Mathematical Analysis, vol. 39 no. 4
(December, 2007),
pp. 11501190, ISSN 00361410 [Gateway.cgi], [doi] [abs]
 Allard, WK, Total variation regularization for image denoising: I. Geometric theory
using total variation regularization; II Examples.,
Siam Journal on Mathematical Analysis, vol. 39 no. 4
(November, 2007) [~wka] [abs]
 Recent Grant Support
 EMSW21RTG: Geometric, Topological and Statistical Methods for Analyzing Massive Datasets, National Science Foundation, 2011/082018/07.


dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821
 
Mathematics Department
Duke University, Box 90320
Durham, NC 277080320

