R EBECCA M. W ILLETT
Duke University
Assistant Professor of Electrical and Computer Engineering
**** ******, *** *****, ******, NC 27708
http://people.ee.duke.edu/ willett
abpcid@r.postjobfree.com
R ESEARCH I NTERESTS
Imaging and network science for extracting information from high-dimensional data corrupted by noise,
missing elements or resulting from point processes, with applications to medical imaging, astronomy,
and social networks.
E DUCATION
Rice University, Houston, TX; M.S./Ph.D. program in the Electrical and Computer Engineering Depart-
ment; GPA: 4.03/4.00; Advisor Prof. Robert Nowak; M.S. in May 2002, Ph.D. in May 2005.
Duke University, Durham, NC; B.S.E. Double major in Electrical Engineering and Computer Science;
GPA: 3.95/4.00; Ranked 3 in a class of 230; Graduated with Distinction and Summa cum laude; May
2000.
New College, Oxford University, Oxford, UK; Admission to summer program awarded as a part of
Angier B. Duke Scholarship; summer 1999.
H ONORS AND AWARDS
IEEE Senior Member, 2011
AFOSR Young Investigator Program Award Recipient, 2010
DARPA Computer Science Study Group, 2007-present
NSF CAREER Award Recipient, 2007
Fellow of the Institute of Pure and Applied Mathematics at UCLA, 2004
Society of Women Engineers Caterpillar Scholarship, 2004
Invited panel member at the PAESMEM/Stanford Workshop on Mentoring in Engineering, 2004
Global Technology Leadership Symposium participant, 2003
National Science Foundation Graduate Research Fellowship recipient, 2000-2003
Rice University Presidential Scholarship Recipient, 2000-2004
Distinguished Texas Instruments Scholarship, 2000-2005
Duke University Charles Seager Award for Best Student Paper in Electrical Engineering, 2000
Duke University George Sherrerd III Award for Outstanding Scholarship in Electrical Engineering, 2000
Angier B. Duke Memorial Scholarship, 1996-2000
E MPLOYMENT H ISTORY
Duke University Electrical and Computer Engineering Department, Assistant Professor, Durham, NC,
2005-present
University of Wisconsin Madison Electrical and Computer Engineering Department, Visiting scholar,
Madison, WI, 2003-2005
R EBECCA M. W ILLETT
Rice University Electrical and Computer Engineering Department, Graduate research assistant, Hous-
ton, TX, 2000-2003
Institute for Pure and Applied Mathematics (IPAM) at the University of California Los Angeles, Fel-
low, Los Angeles, CA 2004
French National Institute for Research in Computer Science and Control (INRIA), Graduate student
intern, Sophia-Antipolis, France, 2003
General Electric Medical Systems Applied Sciences Laboratory, Graduate student intern, Waukesha,
WI, 2002
Lucent Technologies, Student intern, Lisle, IL, 2000
Hewlett-Packard, Student intern, Greeley, CO, 1998-1999
F UNDING
A Rigorous Statistical Framework for the Mathematics of Sensing, Exploitation and Execution, DARPA,
Co-PI with PI L. Carin, $1.6M, 7/1/2011 - 12/31/2012
Photon-limited Sensing and Surveillance, AFOSR Young Investigator Award, PI, $347K, 4/15/2011 -
4/14/2014
Sequential Prediction for Information Fusion and Control, AFOSR, PI with Co-PI M. Raginsky, $330K,
10/1/2012 - 9/30/2013
Knowledge Enhanced Compressive Measurement, DARPA via subaward from Hughes Research Labo-
ratories, PI of subaward, $548K, 3/3/2011 - 3/2/2012
Distributed Online Decision Making in Large Scale Networks, NSF, Co-PI with PI M. Raginsky, $445K,
9/1/2010 - 8/31/2013
Snapshot Raman Spectral Imager, ARO via subaward from Applied Quantum Technologies, PI of sub-
award, $260K, 1/12/2011 - 1/11/2013
Compressive HSI Measurements for ATR, NGA, Co-PI with PI L. Carin, $450K, 10/9/2009 - 10/8/2012
Chandra Cycle 12, Smithsonian Institution, PI, $10K, 5/13/2011 - 5/12/2012
Second-order Methods for Large-scale Optimization in Compressed Sensing, NSF, Co-PI with PI R.
Marcia, $219K, 12/15/2009 - 12/31/2012
Density Estimation and Anomaly Detection in Large Social Networks, ARO, PI, $300K, 6/1/2009 -
5/30/2012
Discrete Event Data Analysis, DARPA Computer Science Study Group (Young Investigator Award), PI,
$825K, 3/23/2006 - 4/30/2011
Data-Starved Inference on Point Processes, NSF CAREER Award, PI, $400K, 2/15/2007 - 1/31/2012
T EACHING AND E DUCATION
G RADUATE S TUDENT A DVISING
Peng Guan, MS anticipated 12/2012, Thesis title Online Markov Decision Processes with Kullback-
Leibler Control Cost
Zachary Harmany, PhD anticipated 5/2012, Thesis title Sparsity-Regularized Inverse Problems with
Applications to Photon-Limited Imaging and Video Reconstruction
Shirisha Reddy Chundi, MS anticipated 5/2012, Project title Online Photon-Limited Video Reconstruc-
tion with Low-Rank Background Subtraction
Kalyani Krishnamurthy, PhD 5/2011, Thesis title Spectral Image Processing Theory and Methods:
Reconstruction, Target Detection, and Fundamental Performance Bounds
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R EBECCA M. W ILLETT
Rubenka Bandyopadhyay, MS 12/2011, Project title Video Reconstruction using Compressive Coded
Apertures
Viola Gomes, MS 12/2011, Project title Hyperspectral Image Reconstruction Using Gaussian Mixture
Models and MAP-EM Algorithm
D IVERSITY P ROMOTION AND K-12 O UTREACH
Short course instructor at Institute for Advanced Studies Women in Mathematics Program on Sparsity
and Computation, 2011
Workshop presenter at the Sally Ride Science Festival, educating girls about careers in science and
engineering, 2005 and 2007
Workshop presenter at Duke FEMMES (Females Excelling More in Math, Engineering and Science)
Program, 2006 - present
Digital technology short course developer and lecturer at the Illinois Mathematics and Science Academy,
in partnership with the In nity Project, 2004
C OURSES D EVELOPED
ECE 189: Image and Multidimensional Signal Processing (undergraduate level)
ECE 282: Digital Signal Processing: Estimation Theory (graduate level)
ECE 299: Wavelets and Multiscale Analysis (graduate level)
S ERVICE
S CHOLARLY C OMMUNITY S ERVICE
Local Scienti c Coordinator for 2013-2014 SAMSI Program on Low-Dimensional structure in High-
Dimensional systems (LDHD)
2011 Duke Workshop on Sensing and Analysis of High-Dimensional Data, co-organizer
IEEE SPS Image, Video, and Multidimensional Signal Processing Technical Committee, 2011 - present
IEEE SPS Bioimaging and Signal Processing (BISP) Technical Committee, 2011 - present
EMBS Technical Committee on Biomedical Signal Processing, 2011 - present
Publicity Chair for the IEEE Statistical Signal Processing Workshop, 2007
Associate Editor for IEEE Transactions on Image Processing, 2012 - present
Reviewer for Proceedings of the National Academy of Sciences (PNAS), IEEE Transactions on Sig-
nal Processing, IEEE Transactions on Image Processing, IEEE Transactions of Medical Imag-
ing, IEEE Journal of Selected Topics in Signal Processing, IEEE Journal on Selected Areas in
Communications, IEEE Signal Processing Letters, IEEE International Conference on Acoustics,
Speech, and Signal Processing, SIAM Journal on Imaging Sciences, Information Processing in
Sensor Networks (IPSN), International Symposium on Biomedical Imaging (ISBI), Journal of
the Optical Society of America A, ACM Transactions on Sensor Networks, Institute of Physics
Inverse Problems, Applied Optics, Astrophysical Journal
U NIVERSITY S ERVICE
Engineering Faculty Council, 2011 - present
Biomedical Engineering Faculty Search Committee, 2011 - 2012
Af liate of Duke Network Analysis Center, 2010 - present
Member of Duke Center for Theoretical and Mathematical Science, 2010 - present
Member of Executive Board of Duke Center for Metamaterials and Integrated Plasmonics, 2008 - present
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R EBECCA M. W ILLETT
Faculty Associates Program (program fostering interactions between faculty and undergraduates by pair-
ing faculty with residence halls), 2006-2007
D EPARTMENT S ERVICE
Department Strategic Planning Committee, 2011 - present
Faculty Search Committees, 2008 - present
Graduate Studies Committee, 2006 - present
Thesis Committees (served on nearly 100 different PhD, MS, and qualifying exam committees), 2005 -
present
Undergraduate Awards Committee, 2010 - present
Staff Hiring Committees, 2008 - present
I NVITED R ESEARCH S EMINARS AND L ECTURES
Invited speaker at SLAC Conference on Progress on Statistical Issues in Searches: A Conference In-
volving Statistical Issues in Astrophysics, Particle Physics and Photon Science, 2012.
Information Theory and Applications Workshop, 2012
1st International Traveling Workshop for Interacting Sparse Models and Technology (Plenary), 2012
Mathematics and Image Analysis, 2012
Institute for Mathematics and its Applications (IMA) Workshop on Large Data Sets in Medical Infor-
matics, 2011
Institute for Mathematics and its Applications (IMA) Workshop on Large Graphs: Modeling, Algo-
rithms and Applications, 2011
Harvard University Electrical and Computer Engineering, 2011
MIT Computer Science and Arti cial Intelligence Laboratory, 2011
Tutorial at OSA s Annual Meeting Frontiers in Optics, 2011
Defense Applications of Signal Processing, 2011
Workshop on Infusing Statistics and Engineering (WISE), 2011
Institute for Advanced Studies Program for Women and Mathematics (short course), 2011
Les Journ es Statistiques du Sud (short course), 2011
e
Allerton Conference on Communication, Control, and Computing, 2010
Naval Research Laboratories, 2010
Carnegie Mellon Statistics, 2009
Wavelets XIII at SPIE Optical Engineering, 2009
University of Wisconsin-Madison Workshop on Statistical Signal Processing, 2009
Network Mapping and Measurement Conference & Workshop, 2009
Rice University Electrical and Computer Engineering, 2009
Houston Conference on Biomedical Engineering Research, 2009
Princeton University Program in Applied and Computational Mathematics, 2009
Duke University Compressed Sensing Workshop, 2009
Boston University Center for Information and Systems Engineering, 2008
Institute for Pure and Applied Mathematics at UCLA, Workshop on Internet Multiresolution Analysis;
Los Angeles, CA, 2008
MITACS/MASCOS Joint Workshop on Fusion, Mining and Security for Networks; Montreal, Canada,
2008
Network Mapping and Measurement Conference & Workshop, 2008
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R EBECCA M. W ILLETT
Purdue University, 2006
University of Illinois at Chicago, 2005
North Carolina State University, 2005
Center for Embedded Network Sensing at UCLA; Los Angeles, CA, 2004
Institute for Pure and Applied Mathematics at UCLA, Workshop on Multiscale Geometric Methods in
Astronomical Data Analysis; Los Angeles, CA, 2004
Institute for Pure and Applied Mathematics at UCLA, Workshop on Multiscale Geometry in Image
Processing and Coding; Los Angeles, CA, 2004
European Signal Processing Conference; Vienna, Austria, 2004
SIAM Conference on Imaging Science; Salt Lake City, UT, 2004
IEEE International Symposium on Biomedical Imaging; Arlington, VA, 2004
Astronomical Data Analysis Software and Systems; Strasbourg, France, 2003
Harvard Workshop on Current Challenges in Multiscale Analysis in Astronomy; Boston, MA, 2003
American Astronomical Society Conference; Seattle, WA, 2003
J OURNAL P UBLICATIONS
[J1] J. Salmon, Z. Harmany, C. Deledalle, and R. Willett, Poisson noise reduction with non-local
pca, submitted to Journal of Mathematical Imaging and Vision. arXiv:1206:0338, 2012.
[J2] P. Guan, M. Raginsky, and R. Willett, Online markov decision processes with Kullback-Leibler
control cost, submitted to IEEE Transactions on Automatic Control, 2012.
[J3] E. Arias-Castro, J. Salmon, and R. Willett, Oracle inequalities and minimax rates for non-local
means and related adaptive kernel-based methods, accepted for publication in SIAM Journal on
Imaging Sciences. arXiv:1112:4434, 2011.
[J4] M. Raginsky, J. Silva, S. Lazebnik, and R. Willett, Near-minimax recursive density estimation on
the binary hypercube, submitted, based on 2008 NIPS paper by same authors. arXiv:1112.1450,
2011.
[J5] Z. Harmany, R. Marcia, and R. Willett, Spatio-temporal compressed sensing with coded aper-
tures and keyed exposures, submitted, based on 2008 ICASSP paper Compressive coded aper-
ture superresolution image reconstruction. arXiv:1111.7247, 2011.
[J6] K. Krishnamurthy, R. Willett, and M. Raginsky, Target detection performance bounds in com-
pressive imaging, submitted, based on 2010 ICASSP paper Hyperspectral target detection from
incoherent projections. arXiv:1112.0504, 2011.
[J7] M. Raginsky, R. Willett, C. Horn, J. Silva, and R. Marcia, Sequential anomaly detection in the
presence of noise and limited feedback, IEEE Transactions on Information Theory, in press,
based on 2009 ISIT paper Sequential Probability Assignment Via Online Convex Programming
Using Exponential Families and 2011 ICASSP paper Online anomaly detection with expert
system feedback in social networks. arXiv:0911.2904, 2011.
[J8] M. Raginsky, S. Jafarpour, Z. Harmany, R. Marcia, R. Willett, and R. Calderbank, Performance
bounds for expander-based compressed sensing in Poisson noise, IEEE Transactions on Signal
Processing, vol. 59, no. 9, arXiv:1007.2377, 2011.
[J9] Z. Harmany, R. Marcia, and R. Willett, This is SPIRAL-TAP: Sparse Poisson Intensity Recon-
struction ALgorithms Theory and Practice, IEEE Transactions on Image Processing, vol. PP,
no. 99, DOI:10.1109/TIP.2011.2168410, arXiv:1005.4274, 2011.
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R EBECCA M. W ILLETT
[J10] G. A. Ybarra, L. M. Collins, L. G. Huettel, K. D. Coonley, H. Z. Massoud, J. A. Board, S. A. Cum-
mer, R. Roy Choudhury, M. R. Gustafson, N. M. Jokerst, M. A. Brooke, R. M. Willett, J. Kim,
and M. S. Absher, Integrated sensing and information processing theme-based redesign of the
undergraduate electrical and computer engineering curriculum at duke university, Advances in
Engineering Education, vol. 2, no. 4, 2011.
[J11] K. J. Borkowski, S. P. Reynolds, D. A. Green, U. Hwang, R. Petre, K. Krishnamurthy, and R. Wil-
lett, Radioactive scandium in the youngest galactic supernova remnant g1.9+0.3, The Astro-
physical Journal Letters, vol. 724, no. 2, doi:10.1088/2041-8205/724/2/L161, arXiv:1006.3552,
2010.
[J12] K. Krishnamurthy, M. Raginsky, and R. Willett, Multiscale photon-limited spectral image re-
construction, SIAM Journal on Imaging Sciences, vol. 3, no. 3, pp. 619 645, 2010.
[J13] M. Raginsky, R. Willett, Z. Harmany, and R. Marcia, Compressed sensing performance bounds
under Poisson noise, IEEE Transactions on Signal Processing, vol. 58, no. 8, pp. 3990 4002,
arXiv:0910.5146, 2010.
[J14] C. Scott, G. Bellala, and R. Willett, The false discovery rate for statistical pattern recognition,
Electronic Journal of Statistics, vol. 3, pp. 651 677, arXiv:0901.4184, 2009.
[J15] J. Silva and R. Willett, Hypergraph-based anomaly detection in very large networks, IEEE
Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 3, pp. 563 569, 2009.
[J16] S. McCain, R. Willett, and D. Brady, Multi-excitation raman spectroscopy technique for uores-
cence rejection, Optics Express, vol. 16, no. 15, pp. 109**-*****, 2008.
[J17] R. Marcia, C. Kim, J. Kim, D. Brady, and R. Willett, Superimposed video disambiguation for
increased eld of view, Optics Express, vol. 16, no. 31, pp. 163**-*****, 2008.
[J18] M. Shankar, R. Willett, N. Pitsianis, T. Schulz, R. Gibbons, R. Te Kolste, J. Carriere, C. Chen,
D. Prather, and D. Brady, Thin infrared imaging systems through multi-channel sampling,
Applied Optics, vol. 47, no. 10, pp. B1 B10, 2008.
[J19] A. Wagadarikar, R. John, R. Willett, and D. Brady, Single disperser design for coded aperture
snapshot spectral imaging, Applied Optics, vol. 47, no. 10, pp. B44 B51, 2008.
[J20] M. Gehm, R. John, D. Brady, R. Willett, and T. Schultz, Single-shot compressive spectral imag-
ing with a dual-disperser architecture, Optics Express, vol. 15, no. 21, pp. 140**-*****, 2007.
[J21] R. Willett and R. Nowak, Minimax optimal level set estimation, IEEE Transactions on Image
Processing, vol. 16, no. 12, pp. 2965 2979, 2007.
[J22] R. Willett and R. Nowak, Multiscale Poisson intensity and density estimation, IEEE Transac-
tions on Information Theory, vol. 53, no. 9, pp. 3171 3187, 2007.
[J23] R. Nowak, U. Mitra, and R. Willett, Estimating inhomogeneous elds using wireless sensor
networks, IEEE Journal on Selected Areas in Communications, vol. 22, no. 6, pp. 999 1006,
2004.
[J24] R. Willett and R. Nowak, Platelets: a multiscale approach for recovering edges and surfaces
in photon-limited medical imaging, IEEE Transactions on Medical Imaging, vol. 22, no. 3, pp.
332 350, 2003.
I NVITED PAPERS AND B OOK C HAPTERS
[I1] R. Willett and M. Raginsky, Poisson compressed sensing, in Proc. of Defense Applications of
Signal Processing, 2011.
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R EBECCA M. W ILLETT
[I2] R. Willett, R. Marcia, and J. Nichols, Compressed sensing for practical optical systems: a
tutorial, Optical Engineering, vol. 50, no. 7, pp. 072601 1 13, 2011.
[I3] R. Marcia, R. Willett, and Z. T. Harmany, Compressive optical imaging: Architectures and algo-
rithms, in Optical and Digital Image Processing Fundamentals and Applications, G. Cristobal,
P. Schelkens, and H. Thienpont, Eds. Wiley, 2011.
[I4] R. Willett, Multiscale-analysis of photon-limited astronomical images, in Statistical Challenges
in Modern Astronomy IV, 2007, vol. 371 of Astronomical Society of the Paci c Conference Series.
C ONFERENCE P UBLICATIONS
[C1] Z. T. Harmany, X. Jiang, and R. Willett, The value of multispectral observations in photon-
limited quantitative tissue analysis, in Proc. Statistical Signal Processing Workshop, 2012.
[C2] J. A. Salmon, R. Willett, and E. Arias-Castro, A two-stage denoising lter: The preprocessed
yaroslavsky lter, in Proc. Statistical Signal Processing Workshop, 2012.
[C3] Y. Xin, J. Huang, and R. Willett, Multiscale online tracking of manifolds, in Proc. Statistical
Signal Processing Workshop, 2012.
[C4] P. Guan, M. Raginsky, and R. Willett, Online markov decision processes with Kullback-Leibler
control cost, in Proc. American Control Conference.
[C5] J. Salmon, C.-A. Deledalle, R. Willett, and Z. Harmany, Poisson noise reduction with non-local
PCA, in Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
2012.
[C6] K. Krishnamurthy, W. U. Bajwa, R. Willett, and R. Calderbank, Fast level set estimation from
projection measurements, in Proc. Statistical Signal Processing Workshop, 2011.
[C7] E. Wang, J. Silva, R. Willett, and L. Carin, Dynamic relational topic model for social network
analysis with noisy links, in Proc. Statistical Signal Processing Workshop, 2011.
[C8] M. Raginsky, N. Kiarashi, and R. Willett, Decentralized online convex programming with local
information, in Proc. American Control Conference, 2011.
[C9] Z. T. Harmany, J. Mueller, Q. Brown, N. Ramanujam, and R. Willett, Tissue quanti cation in
photon-limited microendoscopy, in Proc. SPIE Optics and Photonics, 2011.
[C10] Z. T. Harmany, A. Oh, R. Marcia, and R. Willett, Motion-adaptive compressive coded aper-
tures, in Proc. SPIE Optics and Photonics, 2011.
[C11] R. Willett, Errata: Sampling trajectories for sparse image recovery, Errata pertains to: Short
and Smooth Sampling Trajectories for Compressed Sensing (ICASSP 2011), Smooth Sampling
Trajectories for Sparse Recovery in MRI (ISBI 2011), and Sampling Trajectories for Sparse
Image Recovery (SAMPTA 2011), 2011.
[C12] C. Horn and R. Willett, Online anomaly detection with expert system feedback in social net-
works, in Proc. International Conference on Acoustics, Speech, and Signal Processing, 2011.
[C13] E. Wang, J. Silva, R. Willett, and L. Carin, Time-evolving modeling of social networks, in
Proc. International Conference on Acoustics, Speech, and Signal Processing, 2011.
[C14] R. Willett, Z. Harmany, and R. Marcia, Poisson image reconstruction with total variation regu-
larization, in Proc. IEEE International Conference on Image Processing, 2010.
[C15] K. Krishnamurthy, M. Raginsky, and R. Willett, Hyperspectral target detection from incoherent
projections: Nonequiprobable targets and inhomogeneous SNR, in Proc. IEEE International
Conference on Image Processing, 2010.
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[C16] M. Raginsky, S. Jafarpour, R. Willett, and R. Calderbank, Fishing in Poisson streams: focusing
on the whales, ignoring the minnows, in Proc. Forty-Fourth Conference on Information Sciences
and Systems, 2010, arXiv:1003.2836.
[C17] Z. Harmany, D. Thompson, R. Willett, and R. Marcia, Gradient projection for linearly con-
strained convex optimization in sparse signal recovery, in Proc. IEEE International Conference
on Image Processing, 2010.
[C18] K. Krishnamurthy, M. Raginsky, and R. Willett, Hyperspectral target detection from incoherent
projections, in Proc. International Conference on Acoustics, Speech, and Signal Processing
(ICASSP), 2010.
[C19] Z. T. Harmany, R. F. Marcia, and R. M. Willett, SPIRAL out of convexity: Sparsity-regularized
algorithms for photon-limited imaging, in Proc. SPIE Computational Imaging, 2010.
[C20] S. Jafarpour, R. Willett, M. Raginsky, and R. Calderbank, Performance bounds for expander-
based compressed sensing in the presence of Poisson noise, in Proc. Asilomar Conference on
Signals, Systems and Computers, 2009, Winner of best student paper award. arXiv:0911.1368.
[C21] Z. T. Harmany, R. Marcia, and R. Willett, Sparse Poisson intensity reconstruction algorithms,
in IEEE Workshop on Statistical Signal Processing, 2009, arXiv:0905.0483.
[C22] H. Jared Doot, Kevin Eliceiri, Robert Nowak, and Rebecca Willett, Image reconstruction of
multiphoton microscopy data, in IEEE International Symposium on Biomedical Imaging, 2009.
[C23] R. Willett and M. Raginsky, Performance bounds for compressed sensing with Poisson noise,
in Proc. of IEEE Int. Symp. on Inf. Theory, 2009.
[C24] M. Raginsky, R. Marcia, J. Silva, and R. Willett, Sequential probability assignment via online
convex programming using exponential families, in Proc. of IEEE International Symposium on
Information Theory, 2009.
[C25] R. Marcia, Z. Harmany, and R. Willett, Compressive coded aperture imaging, in SPIE Elec-
tronic Imaging, 2009.
[C26] G. Ybarra, L. M. Collins, L. G. Huettel, H. Z. Massoud, J. Board, M. Brooke, N. Jokerst, R. Roy
Choudhury, M. R. Gustafson, R. M. Willett, and K. Coonley, Integrating sensing and processing
in an electrical and computer engineering curriculum, in Proc. Frontiers in Education Confer-
ence, 2009.
[C27] M. Raginsky, S. Lazebnik, R. Willett, and J. Silva, Near-minimax recursive density estimation
on the binary hypercube, in Proc. Neural Information Processing Systems, 2008.
[C28] Z. Harmany, R. Willett, A. Singh, and R. Nowak, Controlling the error in fmri: Hypothesis
testing or set estimation?, in Proc. IEEE International Symposium on Biomedical Imaging ISBI,
2008.
[C29] R. Marcia and R. Willett, Compressive coded aperture video reconstruction, in Proc. European
Signal Processing Conference EUSIPCO, 2008.
[C30] Roummel F. Marcia, Changsoon Kim, Jungsang Kim, David J. Brady, and Rebecca M. Willett,
Fast disambiguation of superimposed images for increased eld of view, in Proceedings of
the IEEE International Conference on Image Processing, San Diego, CA, October 2008, pp.
2620 2623.
[C31] R. Willett, Multiscale-analysis of photon-limited astronomical images, in Statistical Chal-
lenges in Modern Astronomy IV, 2007, vol. 371 of Astronomical Society of the Paci c Conference
Series.
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[C32] J. Silva and R. Willett, Detection of anomalous meetings in a social network, in Proc. Confer-
ence on Information Sciences and Systems (CISS), 2008.
[C33] R. Marcia and R. Willett, Compressive coded aperture superresolution image reconstruction,
in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP), 2008.
[C34] A. Wagadarikar, R. John, R. Willett, and D. Brady, Single disperser design for compressive,
single-snapshot spectral imaging, in Proceedings of SPIE Optics and Photonics, 2007.
[C35] C. Scott, G. Bellala, and R. Willett, Generalization error analysis for FDR controlled classi ca-
tion, in Proceedings of IEEE Statistical Signal Processing Workshop (SSP), 2007.
[C36] K. Krishnamurthy and R. Willett, Multiscale reconstruction for photon-limited hyperspectral
data, in Proceedings of IEEE Statistical Signal Processing Workshop (SSP), 2007.
[C37] R. Willett, Multiscale intensity estimation for multi-photon microscopy, in Proceedings of
IEEE International Symposium on Biomedical Imaging (ISBI), 2007.
[C38] R. Willett, Multiscale reconstruction for photon-limited shifted excitation raman spectroscopy,
in Proceedings of IEEE Int. Conf. Acoust., Speech, Signal Processing (Proc. International Con-
ference on Acoustics, Speech, and Signal Processing), 2007.
[C39] R. Willett, Multiscale intensity estimation for marked Poisson processes, in Proceedings
IEEE Int. Conf. Acoust., Speech, Signal Processing (Proc. International Conference on Acoustics,
Speech, and Signal Processing), 2007.
[C40] M. Gehm R. Willett and D. Brady, Multiscale reconstruction for computational spectral imag-
ing, in Proceedings of SPIE Electronic Imaging, Computational Imaging V, 2007.
[C41] R. Willett, Multiscale analysis of photon-limited astronomical images, in Proceedings of
Statistical Challenges in Modern Astronomy (SCMA) IV, 2006.
[C42] P. Barford, R. Willett R. Nowak, and V. Yegneswaran, Toward a model for sources of internet
background radiation, in Proceedings of the Passive and Active Measurement Conference (PAM
06), 2006.
[C43] M. Shankar, R. Willett, N. Pitsianis, R. Te Kolste, C. Chen, R. Gibbons, and D. Brady, Ultra-thin
multiple-channel lwir imaging systems, in Proceedings of SPIE Optics and Photonics, 2006.
[C44] R. Willett and R. Nowak, Level set estimation via trees, in Proceedings of IEEE Int. Conf.
Acoust., Speech, Signal Processing (Proc. International Conference on Acoustics, Speech, and
Signal Processing), 2005.
[C45] R. Willett and R. Nowak, Minimax optimal level set estimation, in Proceedings of Wavelets XI
at the SPIE Annual Meeting, 2005.
[C46] R. Willett and R. Nowak, Level set estimation in medical imaging, in Proceedings of IEEE
Statistical Signal Processing Workshop, 2005.
[C47] R. Castro, R. Willett, and R. Nowak, Faster rates in regression via active learning, in Neural
Information Processing Systems, 2005.
[C48] R. Willett and R. Nowak, Fast, near-optimal, multiresolution estimation of Poisson signals and
images, in Proc. Twelfth European Signal Processing Conference EUSIPCO 04, 6-10 Sept.,
Vienna, Austria, 2004.
[C49] R. Willett and R. Nowak, Complexity-regularized multiresolution density estimation, in Proc.
IEEE Int. Sym. Information Theory ISIT 04, 27 June - 2 July, Chicago, IL, USA, 2004.
[C50] R. Willett, A. Martin, and R. Nowak, Adaptive sampling for wireless sensor networks, in Proc.
IEEE Int. Sym. Information Theory ISIT 04, 27 June - 2 July, Chicago, IL, USA, 2004.
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[C51] R. Willett and R. Nowak, Fast multiresolution photon-limited image reconstruction, in Proc.
IEEE Int. Sym. Biomedical Imaging ISBI 04, 15-18 April, Arlington, VA, USA, 2004.
[C52] R. Castro, R. Willett, and R. Nowak, Coarse-to- ne manifold learning, in Proc. IEEE Int. Conf.
Acoust., Speech, Signal Processing Proc. International Conference on Acoustics, Speech, and
Signal Processing 04, 17-21 May, Montreal, CA, 2004.
[C53] R. Willett, A. Martin, and R. Nowak, Backcasting: Adaptive sampling for sensor networks, in
Proc. Information Processing in Sensor Networks, 26-27 April, Berkeley, CA, USA, 2004.
[C54] R. Willett, I. Jermyn, R. Nowak, and J. Zerubia, Wavelet-based superresolution in astron-
omy, in Proc. Astronomical Data Analysis Software and Systems XIII, 12-15 October, Stras-
bourg, France, 2003.
[C55] R. Willett and R. Nowak, Multiscale likelihood analysis and image reconstruction, in Proc.
SPIE Vol. 5207, Wavelets X, 4-8 August, San Diego, CA, USA, 2003.
[C56] C. Scott, R. Willett, and R. Nowak, CORT: Classi cation Or Regression Trees, in Proc. IEEE
Int. Conf. Acoust., Speech, Signal Processing Proc. International Conference on Acoustics,
Speech, and Signal Processing 03, 6-10 April, Hong Kong, 2003.
[C57] R. Willett and R. Nowak, Platelets for multiscale analysis in medical imaging, in Proc. of the
2nd Joint Meeting of the IEEE Engineering in Medicine and Biology Society and the Biomedical
Engineering Society EMBS-BMES 02, 23-26 Oct., Houston, TX, USA, 2002.
[C58] R. Willett and R. Nowak, Platelets for multiscale analysis in photon-limited imaging, in Proc.
IEEE Int. Conf. Image Processing ICIP 02, 22-25 Sept., Rochester, NY, USA, 2002.
[C59] R. Willett and R. Nowak, Multiresolution nonparametric intensity and density estimation, in
Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing Proc. International Conference on
Acoustics, Speech, and Signal Processing 02, 13-17 May, Orlando, FL, USA, 2002.
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