My CV (updated 01/2009)

Sparse Matrix Software Information

Students and Research

Current:

• Donghui Chen, Math PhD student
• Malena Espanol, PhD candidate

Previous:

• Kellie Siler, B.S. 2008
• Maya Shoham, B.S. 2008
• Stacey Ecott, B.S. 2006
• Emily Reid, B.S. 2008
• Kerry Thornton, B.S. 2007
• Natalie Velasco, B.S. 2006
• Marco Enriquez, B.S. 2005
• David Kelley, undergraduate RA
• Keith McClung, M.A. 2003
• Alethea Barbaro, B.S. 2003
• Daniel Keesing , B.S. 2004
• Laura Dev, undergraduate RA

PUBLICATIONS (Updated Jan. 2009):

Journal/Magazine/News Publications:

• Misha E. Kilmer, Carla D. Martin, Lisa Perrone, A Third-Order Generalization of the Matrix SVD as a Product of Third-Order Tensors, , submitted to SIAM J. Matrix Anal. Appl., Oct. 2008.
• Malena I. Espanol and Misha E. Kilmer, A Multilevel Approach for Signal Restoration Problems with Toeplitz Matrices, SIAM Journal on Scientific Computing, Copper Mountain Conference on Iterative Methods Special Issue, submitted Feb. 2008. Revised manuscript submitted Dec. 2008.
• Damon Hyde, Misha E. Kilmer, Eric Miller, Dana Brooks Analysis and Exploitation of Matrix Structure Arising in Linearized Inverse Scattering, SIAM Journal on Matrix Anal. Appl., Vol. 29, pp. 1065-1082, 2007.
• Misha E. Kilmer and James Nagy, Notes on Kronecker Product Approximations for BTTB and BTTHB Matrices, Numerical Linear Algebra with Applications, Vol. 14, Issue 8, Oct. 2007, pp. 581-602.
• Misha E. Kilmer, Per Christian Hansen and Malena Espanol, A Projection-based Approach to General Form Tikhonov Regularization, SIAM J. Sci. Comput., Vol. 29, pp 315-330, 2007.
• Per Christian Hansen, Misha E. Kilmer and Rikke Kjeldsen, Exploiting Residual Information in the Parameter Choice for Discrete Ill-Posed Problems , BIT, Vol 46, pp. 41-59, 2006. See also Addendum containing corrections, Fall 2006.
• Misha E. Kilmer and Eric de Sturler, Recycling Subspace Information for Diffuse Optical Tomography, SIAM J. Sci. Comput., Vol. 27, No. 6, pp. 2140-2166, 2006.
• James Nagy and Misha E. Kilmer, Kronecker Product Approximation for Three-Dimensional Imaging Applications, IEEE Trans. Image Proc., Vol. 15, No. 3, Mar. 2006.
• Ang Li, Greg Boverman, Yiheng Zhang, Dana Brooks, Quan Zhang, Elizabeth Hillman, Misha Kilmer, Eric Miller, David Boas, An Optimal Linear Inverse Solution Given Multiple Priors in Diffuse Optical Tomography, Applied Optics, 2005
• Misha Kilmer and Carla Dee Martin, Decomposing a Tensor , SIAM News, Vol. 37, No. 9, Nov. 2004.
• Misha E. Kilmer, Eric L. Miller, Alethea Barbaro, David Boas, 3D Shape-Based Imaging for Diffuse Optical Tomography, Applied Optics, Vol. 42, pp. 3129-3144, 2003.
• A. Li, E. Miller, M. Kilmer, T. Brukilacchio, T. Chaves, J. Stott, Q. Zhang, T. Wu, M. Chorlton, R. Moore, D. Kopans, D. Boas, Tomographic Optical Breast Imaging Guided by 3-D Mammography, Applied Optics, 2003.
• Eric Miller, Margaret Cheney, Misha E. Kilmer, Gregory Boverman, Ang Li, David Boas, Feature-Enhancing Inverse Methods for Limited-View Tomographic Imaging Problems , Subsurface Sensing Technologies and Applications, Vol. 4, No. 4, pp. 327-353, 2003.
• Murat Belge, Misha E. Kilmer and Eric L. Miller, Efficient Selection of Multiple Regularization Parameters in a Generalized L-curve Framework, Inverse Problems, Vol. 18, No. 4, 2002, pp. 1161-1183.
• D. Boas, D. Brooks, E. Miller, C. DiMarzio, M. Kilmer, R. Gaudette, Q. Zhang, Imaging the Body with Diffuse Optical Tomography , IEEE Signal Processing Magazine, Vol. 18, No. 6, pp. 57-75, 2001.
• Misha E. Kilmer and Dianne P. O'Leary , Choosing Regularization Parameters in Iterative Methods for Ill-Posed Problems, , SIMAX, 2001.
• Misha E. Kilmer, Eric Miller and Carey Rappaport, QMR-based Projection Techniques for the Solution of Non-Hermitian Systems with Multiple Right Hand Sides, SISC, 2001.
• Murat Belge, Misha Kilmer and Eric Miller, Wavelet Domain Image Restoration with Adaptive Edge-Preserving Regularization, IEEE Transactions on Image Processing, Vol. 9, No. 4, pp. 598-608, 2000.
• Carey Rappaport, Misha E. Kilmer and Eric Miller, Accuracy Considerations in Using the PML ABC with FDFD Helmholtz Equation Computation, Focused Issue of the Int'l J. of Num. Modeling, Vol. 13, 2000, pp. 471-482.
• Misha E. Kilmer, Eric L. Miller, David Boas, Dana Brooks, A Shape-Based Reconstruction Technique for DPDW Data, Invited paper, Optics Express, vol 7, No. 13, Dec. 2000.
• Eric L. Miller, Misha E. Kilmer, Carey Rappaport: A New Shape-Based Method for Object Localization and Characterization from Scattered Field Data, IEEE Transactions on Geoscience and Remote Sensing, vol 38, No. 4, 2000.
• Rick Gaudette, Dana Brooks, Charles DiMarzio, Misha Kilmer, Eric Miller, Tom Gaudette, David Boas, A Comparison Studey of Linear Reconstruction Techniques for Diffuse Optical Tomographic Imaging of the Absorption Coefficient , Physics in Medicine and Biology, Vol. 45, No. 4, pp. 1051-1070, 2000.
• Misha E. Kilmer and G. W. Stewart, Iterative Regularization and MINRES, SIAM J. Matrix Anal. Appl., Vol. 21, pp 613-628, 1999.
• Misha E. Kilmer, Cauchy-like Preconditioners for 2-Dimensional Ill-Posed Problems , winner of 1997 SIAM Student Paper Prize, SIAM J. Matrix Anal. Appl., Vol. 20, No. 3, pp. 777-799, 1999.
• Misha E. Kilmer and Dianne P. O'Leary, Pivoted Cauchy-like Preconditioners for Regularized Solution of Ill-Posed Problems , SIAM J. Sci. Comput., Vol. 21, pp 88-110, 1999.

Conference Proceedings:

• \item W. S. Hoge, M. E. Kilmer, C. Zacarias-Almarcha, D. H. Brooks, Fast Regularized Reconstruction of Non-uniformly Subsampled Partial-Fourier Parallel MRI Data, International Symposium on Biomedical Imaging, 2007 Proceedings (peer-reviewed).
• W. S. Hoge, M. E. Kilmer, S. J. Haker, D. H. Brooks, W. E. Kyriakos, Fast Regularized Reconstruction of Non-Uniformly Subsampled Parallel MRI Data, 2006 International Symposium on Biomedical Imaging, 2006 Proceedings (peer-reviewed) .
• Per Christian Hansen and Misha E. Kilmer, A Parameter Choice Method that Exploits Residual Information, 2007 Proceedings of the International Congress on Industrial and Applied Mathematics (ICIAM).
• Misha Kilmer, Eric Miller, Marco Enriquez, David Boas, Cortical Constraint Method for Diffuse Optical Brain Imaging , SPIE Proceedings of the Annual Meeting, Vol. 5559, Aug. 2004, pp. 381-391.
• M. Horn, C. Cao, M. Kilmer, L. Baise, S. Hassoun, D. Souvaine, Model for Mentoring and Retaining Engineering Students from Underrepresented Groups, Proceedings of the ASEE New England Section 2004 Annual Conference, 2004.
• Carey M. Rappaport, Qiuzhao Dong, Emmett Bishop, A. Morgenthaler, M. Kilmer, Finite Difference Frequency Domain (FDFD) Modeling of Two Dimensional TE Wave Propagation , URSI Symposium Conference Proceedings, 2004.
• Misha E. Kilmer, Eric L. Miller, David A. Boas, Dana H. Brooks, Charles A. DiMarzio, and Richard J. Gaudette, Direct Object Localization and Characterization from Diffuse Photon Density Wave Data, Jan. 1999 Proceedings of the SPIE Photonics West Conference.
• Richard J. Gaudette, David A. Boas, Dana H. Brooks, Charles A. DiMarzio, Misha E. Kilmer, Eric L. Miller, Comparison of Linear Reconstruction Techniques for 3D DPDW Imaging of Absoption Coefficient, Jan. 1999 Proceedings of the SPIE Photonics West Conference.
• C. Rappaport, S. Wu, M. Kilmer, E. Miller, Distinguishing Shape Details of Buried Non-metallic Mine-like Objects with GPR , SPIE Aerosense Conference, Orlando, FL, pp. 1419-1428, Apr. 1999.
• Misha E. Kilmer, Regularization of Ill-Posed Problems Using (Symmetric) Cauchy-like Preconditioners, Proceedings of the SPIE Annual Meeting '98, Advanced Signal Processing Algorithms, Architectures, and Implementations VIII, 1998
• Murat Belge, Misha Kilmer and Eric Miller, Simultaneous Selection of Multiple Regularization Parameters by means of the L-hypersurface Method, Proceedings of the SPIE Annual Meeting '98, Bayesian Inference for Inverse Problems.

Selected Technical Reports:

• Per Christian Hansen, Misha E. Kilmer and Rikke Kjeldsen, Exploiting Residual Information in the Regularization of Discrete Ill-Posed Problems , IMM-Technical Report Number 2002-18, Technical University of Denmark, Lyngby, Denmark, 2002.
• Misha E. Kilmer, Symmetric Cauchy-like Preconditioners for the Regularized Solution of 1-D Ill-Posed Problems, University of Maryland Computer Science Dept. Report CS-TR-3851.

Other:

• Misha E. Kilmer, Regularization of Ill-Posed Problems, Ph.D. dissertation, University of Maryland, College Park, Dec. 1998.
• Misha E. Kilmer (nee Clark), An Iterative Reconstruction Technique for Positron Emission Tomography , Master's thesis, Mathematics and Computer Science Department, Wake Forest University, April 1994.