Jeff CalderPh.D. Candidate
Department of Mathematics
University of Michigan
4836 East Hall, 530 Church Street
Ann Arbor, MI 48109-1043, USA
Email: jcalder at umich dot edu
I am currently a Ph.D. Candidate in Applied and Interdisciplinary Mathematics at the University of Michigan. My advisor is Selim Esedoglu and my co-advisor is Alfred Hero. My primary research interests are the analysis of partial differential equations and mathematical problems in computer vision and image processing. I have, in particular, worked on viscosity solutions and numerical schemes for Hamilton-Jacobi equations, and problems that have an intersection with applied probability. I am also interested in exploring how mathematical analysis of problems can lead to efficient algorithms. Click here for my research statement.
I obtained my Master's degree in Mathematics from Queen's University under the supervision of Abdol-Reza Mansouri, where I developed Sobolev gradient flow techniques for image diffusion and sharpening. I also hold a B.Sc. in Mathematics and Engineering from Queen's University specializing in control and communications.