Rejecta Mathematica is published by Rejecta Publications, a non-profit corporation based in Texas. The editors can be reached via e-mail at editors@rejecta.org, fax at 563.405.5317 or telephone at 641.654.0645.
- To submit a paper, please consult the author guidelines.
- To submit a response or criticism of a paper, please consult the instructions for submitting a correspondence.
- For other information about Rejecta Mathematica, please contact the editors.
- Other Rejecta journals may follow in disciplines outside the mathematical sciences. Please contact us if you are interested in starting your own Rejecta franchise.
Meet the Editors
Mike Wakin
Michael B. Wakin is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. In 2006, he completed the Ph.D. degree in Electrical Engineering from Rice University, and from 2006-2007 he was an NSF Postdoctoral Fellow in the Department of Applied & Computational Mathematics at Caltech. His research interests include signal and image processing using low-dimensional, manifold-based, and multiscale geometric models; imaging; compressive sensing; and surviving the Michigan winter.
Chris Rozell
Christopher J. Rozell is currently a Postdoctoral Scholar at the University of California, Berkeley. He received the Ph.D. and the M.S. in Electrical Engineering from Rice University in 2007 and 2002, and Bachelor's degrees in Computer Engineering and Music Technology from the University of Michigan in 2000. He is a member of the usual technical societies that publish journals, sponsor conferences and offer credit cards with low-rate balance transfers. His current research interests include theoretical and computational neuroscience, distributed sensing systems, redundant representations, statistical signal processing and information theory.
Mark Davenport
Mark Davenport is currently pursuing a Ph.D. in Electrical Engineering at Rice University. He has already logged seven years at Rice, receiving an M.S. in Electrical Engineering in 2007, and a B.S. in Electrical Engineering in 2004, which was declared the International Year of Rice in honor of this achievement. His research interests include machine learning, kernel methods, statistical signal processing, and high-dimensional geometry.
Jason Laska
Jason N. Laska completed the B.S. in Computer Engineering from the University of Illinois Urbana-Champaign in 2005. He is currently a coffee saturated M.S. student in Electrical Engineering at Rice University. His research interests include signal processing (especially for audio and images), sparse approximation, and algorithms.