Todd Wittman

• To teach mathematics and develop a research program in applied mathematics.

• Industrial and applied mathematics, image processing, optimization, numerical analysis.

• PhD in Mathematics, 8/06. University of Minnesota. Advisor: Fadil Santosa.
  • PhD Dissertation: "Variational Approaches to Digital Image Zooming."
• M.S. in Mathematics, 8/99. Unviersity of Minnesota. Advisor: Fadil Santosa.
  • Master's Thesis: "Pattern Recognition and Decision-Making in Railroad Maintenance."
• B.A. in Mathematics, 6/97. Dartmouth College. Minor in Computer Science / Operations Research.

• UNIVERSITY OF CALIFORNIA. Los Angeles, CA. Adjunct Assistant Professor. 9/06-present.
  • Lectured computer programming courses for the Math Department's Program in Computing (PIC).
  • Organized large lecture sections and oversaw TAs' duties.
  • Participated in applied math research activities.
  • In Summer 2007, served as REU mentor for project on graphics rendering sponsored by PIXAR as part of IPAM's Resarch in Industrial Projects for Students (RIPS).
• UNIVERSITY OF MINNESOTA. Minneapolis, MN. Teaching Assistant. 9/97-8/99, 9/01-8/06.
  • Taught and graded for mathematics courses including college algebra, precalculus, calculus, differential equations, and multivariable calculus.
  • Experience with computer-based calculus instruction in Mathematica and Matlab.
  • In 2004-05, organized the IMA's Image Processing and Analysis Working Seminar (iPAWS).
• SYMBOL TECHNOLOGIES. Holtsville, NY. Research Intern. 6/04-9/04.
  • Developed image processing techniques for improving resolution in barcode imaging scanners.
• UNIVERSITY OF SOUTH CAROLINA. Aiken, SC. Mathematics Instructor. 9/99-6/01.
  • Taught 4 lower-division mathematics courses (12 credit hours) per semester, including college algebra, pre-calculus, business calculus, statistics, and linear programming.
  • Participated in departmental activities, including being a first-year advisor, running orientation for new mathematics students, and serving on a mathematics search committee.
• LORAM MAINTENANCE OF WAY INC. Hamel, MN. Research Intern. 6/97-9/97, 6/98-9/98.
  • Developed optimization algorithms to automate pattern recognition and decision-making for rail grinding procedures.
  • Programmed extensively in Java and C++ to write working routines for Loram class library.
• DARTMOUTH COLLEGE. Hanover, NH. Teaching Assistant. 1/95-6/97.
  • Graded for mathematics courses including calculus, linear algebra, probability theory, and differential equations.

• Laura Smith, Matthew Keegan, Todd Wittman, and Andrea Bertozzi. "Improving Density Estimation for Sparse Data Sets by Incorporating Spatial Information." In preparation.
• Jian Ye, Todd Wittman, Xavier Bresson, Andrea Bertozzi, and Stanley Osher. "Fast Segmentation for Hyperspectral Images with Priors." In preparation.
• Alex Chen, Todd Wittman, Alexander Tartakovsky, and Andrea Bertozzi. "Boundary Tracking and its Application to Image Segmentation." In preparation.
• Nizar Almoussa, Brittany Dutra, Bryce Lampe, Pascal Getreuer, Todd Wittman, Carolyn Salafa, and Luminita Vese. "Automated Vasculature Extraction from Placenta Images." Submitted to SPIE Medical Imaging Conference. San Diego, CA. February 2010. pdf
• Sheida Rahmani, Melissa Strait, Daria Merkurjev, Michael Moeller, and Todd Wittman. "An Adaptive IHS Pan-sharpening Method." Submitted to IEEE Letters on Geoscience and Remote Sensing. September 2009. pdf
• Michael Moeller, Todd Wittman, and Andrea Bertozzi. "Variational Wavelet Pan-sharpening." Submitted to IEEE Trans. on Geoscience and Remote Sensing. December 2008. pdf
• Alex Chen, Todd Wittman, Alexander Tartakovsky, and Andrea Bertozzi. "Image Segmentation Through Efficient Boundary Sampling." Proc. International Conference on Sampling Theory and Applications (SAMPTA). Marseilles, France. May 2009. pdf
• Michael Moeller, Todd Wittman, and Andrea Bertozzi. "A Variational Approach to Hyperspectral Image Fusion." Proc. SPIE Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV. Orlando, Florida. April 2009. pdf
• Zhaohui Guo, Todd Wittman, and Stanley Osher. "L1 Unmixing and its Application to Hyperspectral Image Enhancement." Proc. SPIE Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV. Orlando, Florida. April 2009. pdf
• Todd Wittman. "Lost in the Supermarket - Decoding Blurry Barcodes." SIAM News. September 2004. pdf
• Ben Cooke, Dmitry Glotov, Darongsae Kwon, Dan Taylor, and Todd Wittman. "Mobility Management in Cellular Telephony." IMA Preprint 1866-4. July 2002. pdf

• "Undergraduate Research in Hyperspectral Image Processing." SIAM Conference on Imaging Science. San Diego, CA. July 2008.
• "Variational Super-Resolution." SIAM Conference on Imaging Science. Minneapolis, MN. May 2006.
• "Image Super-Resolution Using the Mumford-Shah Functional." International Workshop on Mathematical, Computational, and Applied Aspects of Computer Vision and Pattern Recognition. Lotus Hill Institute for Computer Vision and Information Science. Ezhou, China. September 2005.
• "Decreasing Blur and Increasing Resolution in Barcode Scanning." IMA Industrial Problems Seminar. University of Minnesota. Minneapolis, MN. October 2004.
• "Deblurring and Restoration in Barcode Signal Processing" poster presnetation. SIAM Conference on Imaging Science. Salt Lake City, UT. May 2004.
• "Complex Numbers: When Are We Ever Going to Use This?" Minnesota Council of Teachers of Mathematics. St. Paul, MN. October 2001.
• "CBL/CBR Data Gathering Activities" with David Jaspers and Stephen King. Applied Mathematics Association of Georgia Winter Conference. Macon, GA. February 2001.
• "Data Gathering and Analysis" with Stephen King, Gloria Allen, David Jaspers, and Jane Lybrand. South Carolina Council of Teachers of Mathematics 2000 Conference. Myrtle Beach, SC. October 2000.
• "A Pattern Recognition Problem in Railroad Maintenance" poster presentation. SIAM Midwest Regional Mathematics in Industry Workshop. Chicago, IL. October 1998.

• Travel Awards
  • MSRI Travel Award. Workshop in Mathematical, Computational and Statistical Aspects of Image Analysis. January 2005 ($1160 grant).
  • University of Minnesota Mathematics Department Travel Award. SIAM Conference on Imaging Science. May 2004 ($500 grant).
• University of Minnesota
  • School of Mathematics Citation for Excellence in Teaching. July 2003 ($100 grant).
  • John Bowers Excellence in Teaching Assistance Award. May 2003 (dinner, plaque, and $1,000 grant).
  • Institute of Technology Student Board Best TA Award. April 2003 (dinner and a plaque).
• Dartmouth College
  • Rufus Choate Scholar. June 1997.
  • Graduated magna cum laude in three years time. June 1997.

• Mathematics: Complex analysis, Riemannian geometry, Numerical analysis, Methods of applied mathematics, Theory of PDE's, Theory of ODE's and dynamical systems, Information and pattern theory, Image and vision analysis, Geometric data analysis (All mathematics courses are year-long sequences.)
• Statistics: Stochastic processes
• Electrical Engineering: Image processing, Digital signal processing
• Computer Science: Data mining, Approximation algorithms, Automata theory, Computational geometry
• Education: Teaching and learning in the sciences, Psychology of student learning, Technology for teaching and learning