Rice University, MS-366 Tel: (832) 244-9151

MARK A. DAVENPORT

Rice University, MS-366 Tel: (832) 244-9151

P.O. Box 1892 Email:

Houston, TX77251-1892 Web:

RESEARCH INTERESTS

Signal processing and machine learning using low-dimensional signal models

Low-rate signal sensing and acquisition; compressed sensing

Kernel methods and support vector machines

EDUCATION

Currently pursuing a Ph.D. inElectrical Engineering at RiceUniversity.

M.S. in Electrical Engineering from RiceUniversity, May2007.

Thesis: “Error control for support vector machines”

B.S.E.E in Electrical Engineering from RiceUniversity, cum laude, May 2004.

B.A. in Managerial Studies from RiceUniversity, cum laude, May 2004.

ACADEMIC POSITIONS

Research Assistant to Richard Baraniuk, Department of Electrical Engineering, RiceUniversity. 2005 to Present.

Teaching Fellow for Introduction to Signals and Systems (ELEC 301),Department of Electrical Engineering, RiceUniversity. Fall 2006, 2007. Regularly delivered lectures (in-class), provided one-on-one assistance to students, assisted in writing assignments/tests, and coordinated grading and Q/A sessions for the course.

OTHER PROFESSIONAL EXPERIENCE

Technical consultant, Fulbright and Jaworski, LLP. December 2004 to November 2005. Reviewed documents in patent infringement lawsuit regarding cdma2000 technology, summarized findings, and aided in preparing expert witness for trial.

Software design engineer, ViaSat, Inc. June 2004 to August 2004. Implemented convolutional encoding / decoding scheme on a TI DSP for use in a real-time satellite communication system, simulated data transmission using the designed encoder / decoder, and tested /characterized performance.

HONORS AND AWARDS

2007 Hershel M. Rich Outstanding Invention Award

2005National Science Foundation Graduate Fellowship Honorable Mention

2004-2005Texas Instruments Graduate Fellowship

2004ECE Department Best Senior Project Award

2001-2004L.J. Walsh Scholarship, GeorgeR.BrownSchool of Engineering

PROFESSIONAL AFFILIATIONS AND ACTIVITIES

Member:Institute of Electrical and Electronics Engineers (IEEE)

Society for Industrial and Applied Mathematics (SIAM)

Eta Kappa Nu

Tau Beta Pi

Reviewer:IEEE Transactions on Information Theory

IEEE Transactions on Signal Processing

IEEE Transactions on Image Processing

IEEE Journal of Selected Topics in Signal Processing

IEEE Transactions on Aerospace and Electronic Systems

Journal of the Royal Statistical Society: Series B

Neurocomputing

IEEE International Symposium on Information Theory (ISIT)

European Signal Processing Conference (EUSIPCO)

Editor:Rejecta Mathematica

TEACHING EXPERIENCE

2004-2007Course assistant – graded for ELEC 301, ELEC 430, and ELEC 431

2006-2007Teaching Fellow for ELEC 301 (Introduction to Signals and Systems)

2003 Course assistant – led Q&A sessions for ELEC 301

2003 Course assistant – led Q&A sessions for ACCO 305

REFEREED JOURNAL PUBLICATIONS

R.G. Baraniuk, M.A. Davenport, R.A. DeVore, and M.B. Wakin, “A simple proof of the restricted isometry property for random matrices,”Constructive Approximation, 28 (3) pp. 253—263, December 2008.

M.F. Duarte, M.A. Davenport, D. Takhar, J.N. Laska, T. Sun, K. Kelly, and R.G. Baraniuk, “Single-pixel imaging via compressive sampling,” IEEE Signal Processing Magazine, 25(2) pp. 83—91, March 2008.

C.D. Scott and M.A. Davenport, “Regression level set estimation via cost-sensitive classification,”IEEE Transactions on Signal Processing, 55 (6) pp. 2752—2757, June 2007.

JOURNAL PREPRINTS

M.A. Davenport, R.G. Baraniuk, and C.D. Scott, “Tuning support vector machines for minimax and Neyman-Pearson classification,” Rice University ECE Technical Report TREE 0804, August 2008.

REFEREED CONFERENCE PUBLICATIONS

M.A. Davenport, P.T. Boufounos, and R.G. Baraniuk, “Compressive domain interference cancellation,” in Proc. Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS), Saint-Malo, France, April 2009.

M.F. Duarte, M.A. Davenport, M.B. Wakin, J.N. Laska, D. Takhar, K.F. Kelly, and R.G. Baraniuk, “Multiscale random projections for compressive classification,” in Proc. IEEE International Conference on Image Processing (ICIP), San Antonio,Texas, September 2007.

M.A. Davenport, R.G. Baraniuk, and C.D. Scott, “Minimax support vector machines,” in Proc. IEEE Workshop on Statistical Signal Processing (SSP), Madison, Wisconsin, August 2007.

M.A. Davenport, R.G. Baraniuk, and C.D. Scott, “Learning minimum volume sets with support vector machines,” in Proc. IEEE International Workshop on Machine Learning for Signal Processing (ICASSP), Maynooth, Ireland, September 2006.

M.A. Davenport, R.G. Baraniuk, and C.D. Scott, “Controlling false alarms with support vector machines,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May 2006.

M.F. Duarte, M.A. Davenport, M.W. Wakin, and R.G. Baraniuk, “Sparse signal detection from incoherent projections,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, France, May 2006.

INVITED CONFERENCE PUBLICATIONS

M.A. Davenport, M.F. Duarte, M.B. Wakin, J.N. Laska, D. Takhar, K.F. Kelly, and R.G. Baraniuk, “The smashed filter for compressive classification and target recognition,” in Proc. Computational Imaging V at SPIE Electronic Imaging, San Jose, California, January 2007.

SELECTED REPORTS

M.A. Davenport, C. Hegde, M.F. Duarte, and R.G. Baraniuk, “A theoretical analysis of joint manifolds,” Rice University ECE Technical Report TREE 0901, January 2009.

M.A. Davenport, M.B. Wakin, and R.G. Baraniuk, “Detection and estimation with compressive measurements,” Rice University ECE Technical Report TREE 0610, November 2006.

M.S. THESIS

M.A. Davenport, “Error control for support vector machines,” M.S. thesis, ECE Dept., RiceUniversity, April 2007.

PATENTS

R.G. Baraniuk, D.Z. Baron, M.F. Duarte, S. Sarvotham, M.B. Wakin, M.A. Davenport, “Method and Apparatus for Distributed Compressed Sensing.” US Patent No. 7,511,643. March 31, 2009.

R.G. Baraniuk, D.Z. Baron, M.F. Duarte, S. Sarvotham, M.B. Wakin, M.A. Davenport, “Method and Apparatus for Distributed Compressed Sensing.” US Patent No. 7,271,747. September 18, 2007.

TALKS AND TUTORIALS

M.A. Davenport, M.F. Duarte, C. Hegde, and R.G. Baraniuk, “Joint manifold models for collaborative inference,” Institute for Mathematics and Its Applications Hot Topics Workshop: Multi-Manifold Data Modeling and Applications, Minneapolis, Minnesota, October 2008.

M.A. Davenport, M.F. Duarte, R. Willett, and R.G. Baraniuk, “Sparse spectral unmixing,” Computational Imaging VI at SPIE Electronic Imaging, San Jose, California, January 2008.

M.A. Davenport, C. Hegde, M.B. Wakin, and R.G. Baraniuk, “Manifold-based approaches for improved classification,”NIPS Workshop on Topology Learning, Vancouver, Canada, December 2007.

C. Hegde, M.A. Davenport, M.B. Wakin, and R.G. Baraniuk, “Efficient machine learning using random projections,”NIPS Workshop on Efficient Machine Learning, Vancouver, Canada, December 2007.

M.A. Davenport, “Compressive signal processing,” MADALGO Summer School on Data Stream Algorithms, Aarhus, Denmark, August 2007.

M.A. Davenport, “Compressive sensing: A new approach to data acquisition,” Mitsubishi Electronic Research Labs (MERL), Boston, Massachusetts, July 2007.

M.A. Davenport, R.G. Baraniuk, and M.B. Wakin, “Scalable inference and recovery from compressive measurements,” NIPS Workshop on Novel Applications of Dimensionality Reduction, Vancouver, Canada, December 2006.

M.A. Davenport, “The Johnson-Lindenstrauss lemma meets compressed sensing,” Sparse Approximation Workshop, Princeton, New Jersey, November 2006.