Namrata Vaswani
Associate Professor of Electrical and Computer Engineering, Iowa State University

Associate Professor of Mathematics (by courtesy), Iowa State University
3121 Coover Hall, Ames IA 50011, Email: namrata  AT iastate  DOT edu    Phone: 515-294-4012  

Biography

CV

Publications

Software

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Service

Some Key Papers and Research Summary

Teaching

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Publications

Biography:

Namrata Vaswani received a B.Tech. from the Indian Institute of Technology (IIT-Delhi), in 1999 and a Ph.D. from the University of Maryland, College Park, in 2004, both in Electrical Engineering. During 2004-05, she was a postdoc and research scientist at Georgia Tech. Since Fall 2005, she has been with the Iowa State University where she is currently an Associate Professor of Electrical and Computer Engineering and a courtesy associate professor of Mathematics. Her research interests lie at the intersection of data science and machine learning for high dimensional problems, signal and information processing, and computer vision and bio-imaging. Her most recent work has been on provably correct and practically useful algorithms for online robust PCA and for recursive sparse recovery.

 

Prof. Vaswani has served one term as an Associate Editor for the IEEE Transactions on Signal Processing (2009-2012). She is a recipient of the Harpole-Pentair Assistant Professorship at Iowa State (2008-09), the Iowa State Early Career Engineering Faculty Research Award (2014) and the IEEE Signal Processing Society Best Paper Award (2014) for her Modified-CS paper (IEEE Trans. Sig. Proc. 2010).

 

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Full CV

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Research

In the last several years Prof. Vaswani`s work has focused on developing provably accurate online algorithms for various high-dimensional structured data recovery problems such as online robust principal components' analysis (PCA), online matrix completion, or online sparse matrix recovery (recursive recovery of sparse vector sequences) / dynamic compressed sensing. Her group also does work on proof-of-concept applications in dynamic magnetic resonance imaging (MRI) and video analytics. Most recent and ongoing work:

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Office hours for Spring 2016: Monday 10-11, Wednesday 2-3

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