Publications
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S. A. Robila, D.
Ricart, “Distributed Algorithms for Unmixing Hyperspectral Data
using Nonnegative Matrix Factorization with Sparsity Constraints” , Proceedings IEEE IGARSS , in press, 2013
S. A. Robila, K. Pirate, T. Hall,
“Impact of spatial complexity preprocessing on hyperspectral data unmixing”
, Proc. SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX ,P. 1-7., 2013
S. A. Robila,
“Introducing Green Computing to General Education” ,
Proceedings of Society for Information Technology & Teacher Education Int. Conference (SITE) , pp. 78-83, 2013
S. A. Robila,
“Linear unmixing-based feature extraction for hyperspectral data in a
high-performance computing environment” , Proceedings SPIE Optics and Photonics , vol. 8515, pp. 1-6, 2012
S. A. Robila,
“A Sustainability Component for a First-Year Course for Information
Technology Students” , Proceedings Int. Conf. on Advanced Learning Technologies ICALT , pp. 90-94, 2012
M. Pawlish, A. Varde, S.A. Robila,
“Analyzing Utilization Rates in Data Centers for Optimizing
Energy Management” , Proceedings Int. Green Computing Conference IGCC pp. 1-6, 2012.
S. A. Robila, M. Chang, and N. Damico,
“Face Recognition using Spectral and Spatial Information”
, Proceedings SPIE Optics and Photonics , vol. 8135, pp. 8135Q-8., 2011
J. Peng, G. Seetharaman, W. Fan, S.A. Robila, and A. Varde, “Chernoff Dimensionality Reduction--Where Fisher Meets FKT” , Proceedings of SIAM International Conference on Data Mining , pp. 271-282, 2011
S. A. Robila, G. Busardo,
“Hyperspectral Data Processing in a High Performance Computing Environment”
, Proceedings IEEE PDSEC IPDPS , pp. 1424-1431, 2011
J. Peng, S.A.
Robila, F. Wei, G. Seetharaman,
“Analysis of Chernoff criterion for linear
dimensionality reduction” , Proceedings IEEE Conference on Systems Man
and Cybernetics (SMC) , pp.3014-21, 2010
S. A. Robila,
“Considerations on Unsupervised Spectral Data Unmixing and Complexity
Pursuit” , Proceedings IEEE IGARSS , pp. 987 – 90, 2010
S. A. Robila, M.
Butler+ , “Parallel Unmixing of Hyperspectral Data Using
Complexity Pursuit” , Proceedings IEEE IGARSS , pp. 1035-1038, 2010
G. Roughton*,
A.S. Varde, S.A. Robila, and J. Liang,
“A feature-based approach for
processing nanoscale images,” in Proceedings SPIE Scanning Microscopy ,
vol. 7729, pp. 772911-9, 2010
A. Wimberly*, S.
A. Robila, and T. Peplau*,
“Spectral face recognition using orthogonal
subspace bases,” in Proceedings SPIE Algorithms and Technologies for
Multispectral, Hyperspectral, and Ultraspectral Imagery XVI , vol. 7695,
pp. 76952E-10, 2010
B. Kaipa+ ,
S.A. Robila, "Statistical Steganalyis of Images Using Open Source Software "
Proceedings IEEE LISAT 2010 , pp.1-5, 2010
S. A. Robila,
“Band reduction for hyperspectral imagery processing,”
in Proceedings
SPIE Computational Imaging VIII , vol. 7533, pp. 75330W-9, 2010
S. A. Robila,
“Spectral Image Processing Using Sparse Linear Transforms” , Proceedings
IEEE IGARSS , pp. IV-534-7, 2009
S.A. Robila,
"Quo vadis face recognition: Spectral considerations," Proceedings IEEE
LISAT 2009 , pp.1-5, 2009
S. A. Robila*,
A. LaChance*, and S. Ruff, “Investigating face recognition from hyperspectral data: impact of band extraction,”
in Proceedings SPIE
Algorithms and Technologies for Multispectral, Hyperspectral, and
Ultraspectral Imagery XV , vol. 7334, pp. 73341Y-10, 2009
M. Schockling*,
R. Bonce*, A. Gutierrez, and S. A. Robila,
“Visualization of hyperspectral
images,” in Proceedings SPIE Algorithms and Technologies for
Multispectral, Hyperspectral, and Ultraspectral Imagery XV , vol. 7334,
pp. 733423-12, 2009
D. Wang, L. Xu,
J. Peng, S.A. Robila, “Subdividing Hexagon-Clustered Wireless Sensor
Networks for Power Efficiency” , Proceedings IEEE International Conference
on Communications and Mobile Computing , pp. 454-458, 2009
S. A. Robila, L.
G. Maciak+ ”Considerations on Parallelizing Nonnegative Matrix
Factorization for Hyperspectral Data Unmixing” , IEEE Geosciences and
Remote Sensing Letters , vol. 6, no. 1, pp. 57-61, 2009
C. A. Neylan*,
T. Rush*, A. Gutierrez, and S. A. Robila,
“Hyperspectral image processing: a
direct image simplification method,” in Proceedings SPIE Algorithms and
Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV ,
vol. 6966, pp. 69661Y-9, 2008
S. Sidiqui+ ,
S. A. Robila, J. Peng, D. Wang,
“Sparse Representations for Hyperspectral
Image Classification” , Proceedings IEEE IGARSS 08 , vol.2, no.,
pp.II-577-II-580, 2008
S. A. Robila,
“Toward hyperspectral face recognition,” in Proceedings SPIE Image
Processing: Algorithms and Systems VI , vol. 6812, pp. 68120X-9, 2008
S. A. Robila and
N. A. Senedzuk+ , “Grid computing for hyperspectral data
processing,” in Proceedings SPIE Next-Generation Spectroscopic
Technologies , vol. 6765, pp. 67650A-9, 2007
S. A. Robila, B.
G. Wachsmuth, C. Scharff, and J. L. Popyack,
"Mobile instructional
laboratory environments and their use in computing sciences" , Journal of
Computing in Colleges , vol. 23, no. 3, 114-118, 2008
J. Peng, S. A.
Robila, “Weighted Additive Criteria for Linear Dimension Reduction” ,
Proceedings IEEE ICDM , pp.619-624, 2007
S. A. Robila,
“Information Disclosure Incidents and Computer Security Education” ,
Proceedings ASEE MidAtlantic Conference , 7 pgs on CD, 2007
S. A. Robila, L.
Maciak+ , “Sequential and Parallel Feature Extraction using
Nonnegative Matrix Factorization” , Proceedings IEEE LISAT , 1-7, DOI:
10.1109/ LISAT.2007.4312637, 2007
S. A. Robila,
“New Developments in Target Detection in Hyperspectral Imagery Using
Spectral Metrics and Spectra Extraction” , Proceedings ASPRS National
Conference , 11 pgs on CD, 2007
S. A. Robila and
L. G. Maciak+ , “A parallel unmixing algorithm for hyperspectral
images,” in Proceedings SPIE Intelligent Robots and Computer Vision XXIV:
Algorithms, Techniques, and Active Vision , vol. 6384, pp. 63840F-11,
2006
S. A. Robila,
“A
Class of Detection Filters for Targets and Anomalies in Multispectral /
Hyperspectral Imagery” , Proceedings IEEE CVPR, 132-140, 2006
S. A. Robila,
“Use of Remote Sensing Applications and its Implications to the Society” ,
Proceedings IEEE ISTAS , 1-6, DOI: 10.1109/ISTAS.2006.4375896, 2006
J. Ragucci* ,
S. A. Robila, “Social Aspects of Phishing” , Proceedings IEEE ISTAS ,
1-5, 2006
S. A. Robila, L.
Maciak+ , “Novel Approaches for Feature Extraction in Hyperspectral Images” , Proceedings IEEE LISAT , pp. 1-7, 2006
S. A. Robila, J.
Ragucci* , “Don’t be a Phish: Steps in User Education” ,
Proceedings ITiCSE, 237-241, 2006.
S. A. Robila,
“Real Time Processing of Hyperspectral Images” , Proceedings ASPRS
Annual Conference , 5 pgs. on CD, 2006
S. A. Robila, A.
Kumar, G. Trajkovsi, J. Popyack, S. Poger,
“Undergraduate Research –
Students’ Rewards and Challenges” , Journal of
Computing in Colleges
S. A. Robila,
“Using Spectral Distances for Speedup in Hyperspectral Image Processing” ,
International Journal of Remote Sensing , vol 26, no. 24, 5629-5650, 2005
S. A. Robila, A.
N. Kumar, D. Baldwin, C. Bates Congdon,
“Considerations
on Undergraduate Computer Science Research” , Journal of Computing in
Colleges , vol. 20, no. 5, 91-95, 2005
S. A. Robila, C.
Bredlau, “Writing Requirements in Computer Security” , in Proceedings ACM
SIGITE, 385-386, 2005
S. A. Robila,
“Distributed Computing and Computer Security Education” , in Proceedings
ACM SIGITE, 383-384, 2005
S. A. Robila, A.
Gershman* , “Spectral Matching Accuracy in Processing Hyperspectral Data” , in Proceedings IEEE ISSCS, 163-166, 2005
S. A. Robila,
“Interdisciplinary Undergraduate Research with Focus on Hyperspectral /
Multispectral Imagery” , ASEE Mid-Atlantic Conference , 11 pgs. on CD,
2005
S. A. Robila,
“An
Investigation of Spectral Metrics in Hyperspectral Image Preprocessing
for Classification” , Proceedings ASPRS Annual Conference , 9 pgs.,
2005
S. A. Robila,
“Subpixel target detection in hyperspectral data using higher order
statistics source separation algorithms,” in Proceedings SPIE
Computational Imaging III , vol. 5674, pp. 424-431, 2005
S. A. Robila,
“An Analysis of Spectral Metrics for Hyperspectral Image Processing” ,
IEEE Geoscience and Remote Sensing Symposium, IGARSS , vol. 5, 3233-3236,
2004
S. A. Robila,
“Distributed Processing of Hyperspectral Images” , Proceedings ASPRS
Annual Conference , Denver, CO, 4 pgs. on CD, 2004
S. A. Robila,
“Distributed source separation algorithms for hyperspectral image
processing,” in Proceedings SPIE Algorithms and Technologies for
Multispectral, Hyperspectral, and Ultraspectral Imagery X , vol. 5425,
pp. 628-635, 2004
S. A. Robila,
“Investigation of spectral screening techniques for
independent-component-analysis-based hyperspectral image processing,” in
Proceedings SPIE Algorithms and Technologies for Multispectral,
Hyperspectral, and Ultraspectral Imagery IX , vol. 5093, pp. 241-252,
2003
S. A. Robila and
P. K. Varshney, “Further results in the use of independent component
analysis for target detection in hyperspectral images,” in Proceedings SPIE
Automatic Target Recognition XIII, vol. 5094, pp. 186-195, 2003
C. A. Shah, M.
K. Arora, S. A. Robila, P. K. Varshney,
“ICA Mixture Model based
Unsupervised Classification of Hyper-Spectral Imagery” , IEEE Applied
Imagery Pattern Recognition Workshop , Washington D.C., pp. 29-35, 2002
S. A. Robila, P.
K. Varshney, “A Fast Source Separation Algorithm for Hyperspectral Imagery” ,
IEEE Geoscience and Remote Sensing Symposium, IGARSS, vol. 6, pp.
3516 –3518, 2002
S. A. Robila and
P. K. Varshney, “Target detection in hyperspectral images based on
independent component analysis,” in Proceedings SPIE Automatic Target
Recognition XII , vol. 4726, pp. 173-182, 2002
S. A. Robila, T.
Achalakul, P. Halaand, and S. Taylor,
"Exploring Independent Component
Analysis for Remote Sensing" , Workshop on Multi/Hyper-spectral sensor,
Measure, Modeling, and Simulation , 8 pgs. on CD, 2000
S.
Taylor, T. Achalakul, J. Lee, K. Lhee, S. A. Robila,
"Resilient Remote
Sensing" , National Symposium on Sensor and Data Fusion , 7 pgs., 2000
