Vishal M. Patel

Assistant Professor

vishal-m-patel-258x250.jpg

Education

Ph.D., Electrical Engineering,
University of Maryland, College Park, MD
August 2010

M.S., Applied Mathematics
North Carolina State University, Raleigh, NC
May 2005

B.S., Applied Mathematics (with honors),
Summa Cum Laude
North Carolina State University, Raleigh, NC
May 2004

B.S., Electrical Engineering,
Summa Cum Laude
May 2004

Previous Affiliation
Center for Automation Research
University of Maryland

Research Interests
Security and privacy: Active authentication, biometrics template protection, biometrics recognition.
Computer vision: Domain adaptation, dictionary learning, object recognition, activity recognition, shape representation.
Machine learning: Dimensionality reduction, clustering, kernel methods, weakly-supervised learning.
Signal/Image processing: Sparse representation, compressive sampling, synthetic aperture radar imaging, millimeter wave imaging.

Academic Experience
Assistant Research Scientist, CfAR, UMD, College Park, MD Oct. 2011 - present
ORAU Postdoctoral Fellow, U.S. Army Research Lab, Adelphi, MD Mar. 2011 - Sept. 2011
Research Associate, CfAR, UMD, College Park, MD Sept. 2010 - Feb. 2011
Research Assistant, CfAR, UMD, College Park, MD Sept. 2009 - Aug. 2010

Honors and Awards
ORAU Postdoctoral Fellowship, 2010-2011
Distinguished Teaching Assistant Award from the Center for Teaching Excellence, UMD, 2006
Phi Beta Kappa
Pi Mu Epsilon
Eta Kappa Nu

Book
V. M. Patel and R. Chellappa , "Sparse representations and compressive sensing for imaging and vision," SpringerBriefs, 2013. ISBN: 978-1-4614-638

Selected Journal Papers

R. Gopalan, R. Li, V. M. Patel and R. Chellappa, "Domain adaptation for visual recognition," Foundations and Trends on Computer Graphics and Vision, accepted for publication, Mar. 2015.

A. Shrivastava, J. K. Pillai, and V. M. Patel, "Multiple kernel-based dictionary learning for weakly supervised classification," Pattern Recognition, accepted for publication, Mar. 2015. (pdf)

V. M. Patel, H. V. Nguyen, and R. Vidal, "Latent space sparse and low-rank subspace clustering," IEEE Journal of Selected Topics in Signal Processing: Special Issue on Signal Processing for Big Data, accepted for publication, Jan. 2015. (pdf)

Y-C. Chen, V. M. Patel, R. Chellappa, and P. J. Phillips, "Salient views and view-dependent dictionaries for object recognition," Pattern Recognition: Special Issue on Discriminative Feature Learning from Big Data for Visual Recognition, accepted for publication, Jan. 2015. (pdf)

Y-C. Chen, V. M. Patel, R. Chellappa, and P. J. Phillips, "Ambiguously labeled learning using dictionaries," IEEE Transactions on Information Forensics and Security: Special Issue on Facial Biometrics in the Wild, vol. 9, no. 12, pp. 2076-2088, Dec. 2014.(pdf)

V. M. Patel, R. Gopalan, R. Li, and R. Chellappa, "Visual domain adaptation: a survey of recent advances," IEEE Signal Processing Magazine, accepted for publication, July 2014. (pdf)

A. Shrivastava, V. M. Patel, and R. Chellappa, "Non-linear dictionary learning with partially labeled data," Pattern Recognition, accepted for publication, July. 2013. (pdf)

Q. Qiu, V. M. Patel, and R. Chellappa, "Information-theoretic dictionary learning for image classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 11, pp. 2173-2184, Oct. 2014. (pdf)

X. Gibert-Serra, V. M. Patel, D. Labate, and R. Chellappa, "Discrete shearlet transform on GPU with applciations in anomaly detection and denoising," EURASIP Journal on Advances in Signal Processing, vol. 2014, pp. 1-64, May 2014. (pdf)

A. Shrivastava, V. M. Patel, and R. Chellappa, "Multiple kernel learning for sparse representation-based classification," IEEE Transactions on Image Processing, vol. 23, no. 7, pp. 3013-3024, July 2014. (pdf)

Email: 

vishal.m.patel @ rutgers.edu

Contact No.: 

(848) 445-5250

Office: 

CoRE 508