People > Faculty
Maya R. Gupta
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Maya R. Gupta Assistant Professor of Electrical Engineering Adjunct Assistant Professor of Applied Mathematics Information Design Lab 250 EE/CSE Box 352500 University of Washington Seattle, WA 98195 |
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Stanford University PhD 2003
Stanford University MS 2000
Rice University BS EE, BA Econ 1997
Biosketch
Maya Gupta joined the University of Washington's Department of Electrical Engineering faculty in the fall of 2003, and has also been an adjunct member of the Department of Applied Math since 2005. In 2007 she was awarded the Office of Naval Research Young Investigator Award and the Dept. of Electrical Engineering Outstanding Teaching Award. Her Ph.D and M.S. in electrical engineering were completed at Stanford University, where she worked with Bob Gray, Richard Olshen, and Rob Tibshirani. Her doctoral thesis proposed innovative ideas for nonparametric nearest-neighbor classification and estimation. From 2000-2003, she was a researcher in the Color Image Processing Group of Ricoh's California Research Center where she focused on improving methods for printing color images. Prior to graduate school, she worked as an R&D engineer for Hewlett Packard's Optical Communications Division. She has also worked for Microsoft, AT&T Labs, NATO, and a now-defunct dot-com that attempted to optimize golf tee-time usage internationally. Prof. Gupta is a Seattle native and lives with her husband, classical trumpet performer and teacher Matthew Swihart.
Honors
Office of Naval Research Young Investigator Program (ONR YIP) Award 2007
Univ. of Washington Dept. of EE Outstanding Teaching Award 2007
National Science Foundation Graduate Fellowship 1998-2002
Research Interests
I am interested in the theory and application of statistical estimation and classification, image processing, information theory, and color vision.
For more information, please see my group's webpage: Information Design Lab
Selected Publications
Please see the publications list at the Information Design Lab webpage.
Patents
Primary author of five patents for color printing processes.
Current Graduate Students
Please see the students list at the Information Design Lab webpage.
Teaching
Winter 2004: EE596 Statistical Learning
Spring 2004: EE235 Continuous Linear Time Systems
Fall 2005: EE596A Color Imaging Systems
Spring 2005: EE235 Continuous Linear Time Systems
Winter 2006: EE511 Introduction to Statistical Learning
Spring 2006: EE235 Continuous Linear Time Systems
Spring 2006: EE515 Information Theory II
Winter 2007: EE596A Color Imaging Systems
Spring 2007: EE235 Continuous Linear Time Systems
Spring 2008: EE235 Continuous Linear Time Systems
