Computational Science Laboratory
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Peer Reviewed Publications
*denotes undergraduate students, +denotes graduate student
  • M. Robila and S. A. Robila. "Applications of Artificial Intelligence Methodologies to Behavioral and Social Sciences." Journal of Child and Family Studies, vol. 29, no. 10, pp. 2954-2966, 2020 
  • Z. Aziz+, S.A. Robila “Interface for Querying and Data Mining for NYC Yellow and Green Taxi Trip Data”, Proceedings IEEE Long Island Systems, Applications and Technology Conference (LISAT), pp. 1-7, 2019 
  • I. Gaidukova+, Priyanka Phapale+, S.A. Robila “Visualizing Weather Financial Impact on Industries 
  • and Weather Derivatives”, Proceedings IEEE Long Island Systems, Applications and Technology Conference (LISAT), pp. 1-7, 2019 
  • B. Pasione+, S.A. Robila “Digital Piracy, Technology, the Legal System and Computing Education”, Proceedings IEEE Integrated STEM Education Conference (ISEC), 2018, pp. 133-136, 2018 
  • K. Handelli+, S.A. Robila “A Cybersecurity High School Curriculum Guide”, Proceedings Society for Information Technology & Teacher Education International Conference (SITE), pp. 864-869, 2018 
  • K. Handelli+, S.A. Robila “Design, development and testing an academic repository”, Proceedings IEEE Long Island Systems, Applications and Technology Conference (LISAT), 2018, pp. 1-7, 2018 Best Technology Track Paper 
  • P. Persaud*, A. Varde, S.A. Robila, “Enhancing Autonomous Vehicles with Commonsense: Smart Mobility in Smart Cities”, Proceedings IEEE ICTAI, 1-5, 2017 
  • K. Miller+, S.A. Robila “LIDAR for Scribbler 2- Enhancing Sensing Capabilities in an Educational Robot”, Proceedings IEEE Long Island Systems, Applications and Technology Conference (LISAT), 1-5, 2017 
  • E. Bilgin+, S.A. Robila “Road Sign Recognition System on Raspberry Pi”, Proceedings IEEE Long Island Systems, Applications and Technology Conference (LISAT), 1-5, 2016 
  • M. Butler+, S.A. Robila “Interface for Querying and Data Mining for the IMDb Dataset”, Proceedings IEEE Long Island Systems, Applications and Technology Conference (LISAT), 1-5, 2016 
  • M. Pawlish, A. Varde, S.A. Robila, C. Alvarez, C. Fleischl, G. Serviano, “The Greening of Data Centers with Cloud Technology”, International Journal of Cloud Applications and Computing, 5(4), 1-23, October-December 2015 
  • F.K. Muriithi, D. Yu, S.A. Robila, “Vegetation response to intensive commercial horticulture and environmental changes within watersheds in central highlands, Kenya, using AVHRR NDVI data”, GIScience & Remote Sensing, 2015 
  • M. Pawlish, A. Varde, S.A. Robila, C. Alvarez, C. Fleischl, G. Serviano, “GreenDSS tool for data center management”, Int. Conf. on Information and Communication Systems (ICIS), pp. 1-6, 2014 
  • M. Pawlish, A. Varde, S.A. Robila, A. Ranganathan, “A call for efficiency in data center”, SIGMOD, vol 43 no. 1, pp. 45-51, 2014 
  • S. A. Robila, D. Ricart+, “Distributed Algorithms for Unmixing Hyperspectral Data using Nonnegative Matrix Factorization with Sparsity Constraints”, Proceedings IEEE IGARSS, in pp. 2156-2159, 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, pp. 1-7., 2013 
  • M. Pawlish, A. Varde, S.A. Robila, “Decision Support in Data Centers for Sustainability”, Proc.IEEE Int. Conference on Data Mining Workshops (ICDMW), 2013, pp. 613-620 
  • S. A. Robila, “Introducing Green Computing to General Education” Proceedings of Society for Information Technology & Teacher Education Int. Conference (SITE), pp. 78-83, 2013. 
  • M. Pawlish, A. Varde, S.A. Robila, “Cloud Computing for Environment Friendly Data Centers”, Proceedings International Workshop on Cloud Data Management CloudDB, 2012, pp. 43-48 
  • 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 2012 ICALT, pp. 90-94. 
  • M. Pawlish, A. Varde, S.A. Robila, “Analyzing Utilization Rates in Data Centers for Optimizing Energy Management”, Proceedings Int. Green Computing Conference IGCC, 2012, pp. 1-6. 
  • 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” in Proceedings IEEE PDSEC IPDPS, 2011, 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. 3014-3021, 2010 
  • J. Peng, S.A. Robila, W. Fan, G. Seetharaman, “Margin Based Dimensionality Reduction and Generalization”, The Open Journal of Artificial Intelligence, vol. 4, pp. 55-64, 2010 
  • S. A. Robila, “Considerations on Unsupervised Spectral Data Unmixing and Complexity Pursuit”, Proceedings IEEE IGARSS, pp. 987 – 990, 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 Long Island Systems, Applications and Technology Conference (LISAT), 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 Long Island Systems, Applications and Technology Conference (LISAT), pp. 1-7, 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, 2006 
  • J. Ragucci*, S. A. Robila, “Social Aspects of Phishing”, Proceedings IEEE ISTAS, 1-5, DOI: 10.1109/ISTAS.2006.43758935, 2006 
  • S. A. Robila, L. Maciak+, “Novel Approaches for Feature Extraction in Hyperspectral Images”, Proceedings IEEE Long Island Systems, Applications and Technology Conference (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, vol. 21, no. 2, 166-171, 2005 
  • 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, “Higher Order Statistics Based Feature Extraction for Hyperspectral Images”, Proceedings ASPRS Annual Conference, 1 pg. on CD, 2003 
  • S. A. Robila, “Investigation of Spectral Screening Techniques for Hyperspectral Image Processing”, Proceedings ASPRS Annual Conference, 1 pg. on CD, 2003 
  • 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 
Book Chapters 
  • S. A. Robila, “Spectral Screened Orthogonal Subspace Projection for Target Detection in Hyperspectral Imagery”, in R. Hammoud editor, Augmented Vision Perception in Infrared Algorithms and Applied Systems, Springer, 2008, pp. 173-196. 
  • J. W. Ragucci*, S. A. Robila, “Designing Antiphishing Education”, in M. Gupta and R. Sharman (Eds.), Handbook of Research on Social and Organizational Liabilities in Information Securities, peer reviewed chapter, IGI Global, 2008, pp. 257-278. 
  • S. A. Robila, “A Maximum Spectral Screening (MSS) Algorithm for Target Detection”, in C-. I., Chang editor, Advances in Hyperspectral Imagery, Research Signpost, 2006, pp. 297-326. 
  • S. A. Robila, “Independent Component Analysis (ICA)”, in P.K. Varshney, M.K. Arora editors. Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data, Springer, New York, 2004, pp. 109 - 132. 
  • S. A. Robila, P. K. Varshney, “Extracting Features from Hyperspectral Data Using ICA”, in P.K. Varshney, M.K. Arora editors. Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data, Springer, New York, 2004, pp. 199 - 216. 
 Invited Publications 
  • S. A. Robila, “Future of Imaging: What Comes Next?” – invited contributor, Advanced Imaging Magazine, vol. 20, No. 1, 2005, pp. 34-36. 
  • F. Rivera*, D. Schemly*, I. Yussim*, S. A. Robila, “Spyware Study”, Technical Report, Montclair State University / Anti-Kelogger.org, http://anti-keylogger.org/articles.cgi?in= Spyware_Study&id=15, anti-keylogger.org, posted by invitation. 
 Professional Peer Reviewed Presentations / Abstracts 
  • M. Robila, S.A. Robila, “Artificial Intelligence Methodologies in Examining Human Development and Family Functioning”. American Psychological Association Convention, virtual, August 2020. 
  • M. Robila, S.A. Robila, “Using Artificial Intelligence and Machine Learning in Supporting Families in an International Context”. Annual Conference of the National Council on Family Relations, Fort Worth, TX, November 2019. 
  • M. Butler, S. A. Robila, “Building Big Data Skills through Practice – Extraction, Querying and Data Mining of the IMDb Dataset”. New Jersey Big Data Alliance Symposium, Montclair, NJ, March 2016 
  • S. A. Robila, “Feature extraction for remote sensing data using massive parallel processors”. World Weather Open Science Conference, Montreal, QC, August 2014 
  • S. A. Robila, “Computational Sensing Laboratory: Research and Education in Large Data Sets”. New Jersey Big Data Alliance Symposium, Piscataway, NJ, April 2014 
  • S. A. Robila, “Analysis of Industrial Visits as Component of Undergraduate Research Activities”, Council on Undergraduate Research Annual Conference, Ewing, NJ, June 2012 
  • K. Herbert, J. Fails, E. Hill, M. Oudshoorn, S. A. Robila, “Research Transcending Historic Disciplinary Boundaries”, Council on Undergraduate Research Annual Conference, Ewing, NJ, June 2012 
  • S. A. Robila, “Linear Sparse Feature Extraction Transforms for Remote Sensing Images”, ASPRS Annual Conference, Portland, OR, May 2008 
  • S. A. Robila, M. D. Islam*, “HYPDB - A Query System for Remote Sensing Data“, ASPRS Annual Conference, Portland, OR, May 2008 
  • M. Robila, S. A. Robila, “Developing an Interdisciplinary Partnership in Using Technology in Teaching”, Teaching in Higher Education Forum (THE 2003), Baton Rouge, LA, April 2003 
  • S. A. Robila, P. K. Varshney, S. Taylor, “Feature Extraction for Hyperspectral Images Using Independent Component Analysis”, Fifth International Airborne Remote Sensing Conference and Exhibition, Miami, FL, May 2002 
 White Paper 
  • A. Varde, S. A. Robila, M. Weinstein, “Green Data Centers for Sustainability”, National Institute of Standards (NIST) Technical Innovation Program Energy White Paper, 10 pgs online, 2010 
Student Presentations  
  • M. Estwanick (S.A. Robila – advisor), “Optimal Band Selection in Hyperspectral Data Using GPU”, Student poster, Student poster, Consortium of Computing Sciences in Colleges Northeastern Region (CCSCNE), Holy Cross College, Worchester, MA, April 2015
  • M. Estwanick (S.A. Robila – advisor), “Optimal Band Selection in Hyperspectral Data”, SC15 BE Poster Workshop, Lawrence Berkeley National Laboratory, Berkeley, CA, April 2015 
  • M. Estwanick (S.A. Robila – advisor), “Using Graphical Processing Units for Computing Optimal Band Selection in Hyperspectral Data”, Student presentation, Undergraduate Research Symposium, Montclair State University, Montclair, NJ, April 2015 
  • C. Fleischl, (S.A. Robila – advisor), “The GreenIT Project”, Student Poster, Undergraduate Research Symposium – Techlaunch , Montclair State University, Montclair, NJ, April 2014 
  • C. Fleischl, C. Alvarez, G. Serviano (S.A. Robila – advisor), “The GreenIT Project”, Student presentation, Undergraduate Research Symposium, Montclair State University, Montclair, NJ, April 2014
  • S. Kordecki, S. Gallo, (S.A. Robila – advisor), “Optimizing approaches for distributed computing based best band selection algorithms for hyperspectral image processing”, Student poster, Undergraduate Research Symposium, Montclair State University, Montclair, NJ, April 2013  
  • S. Gallo, S. Kordecki, (S.A. Robila – advisor), “Optimal Distributed Computing Based Best Band Selection Algorithms for Hyperspectral Image Processing”, Student poster, Consortium of Computing Sciences in Colleges Northeastern Region (CCSCNE), Siena College, Loudonville, NY, April 2013  
  • C. Alvarez, T. Sears, (S.A. Robila – advisor), “Fusion Techniques for Hyperspectral Image Visualization”, Student poster, Consortium of Computing Sciences in Colleges Northeastern Region (CCSCNE), Siena College, Loudonville, NY, April 2013 
  • T. Hall*, K. Pirate (S.A. Robila – advisor), “Spatial Complexity Based Preprocessing for Hyperspectral Imagery”, Student poster, Consortium of Computing Sciences in Colleges Northeastern Region (CCSCNE), Quinnipiac University, Hamden, CT, April 2012  
  • M. Erdi* (S.A. Robila – advisor), “Detection of Ripeness in Bananas using Hyper-spectral Images”, New Jersey Academy of Science Annual Meeting, April 2012 
  • M. Chang-Reyna* (S.A. Robila – advisor), “Investigating Face Recognition using Hyperspectral Images and Principal Components”, Student poster, Consortium of Computing Sciences in Colleges Southeastern Region (CCSCSE), Spellman College, Atlanta, GA, November 2010  
  • D. Jackowitz* (A. Varde, S.A. Robila – advisors), “Non-metric Distances in Nanoscale Image Mining”, Student poster, Consortium of Computing Sciences in Colleges Eastern Region (CCSCE), Juniata College, Huntingdon, PA, October 2010  
  • N. Damico* (S.A. Robila – advisor), “Unsupervised Face Recognition using Hyperspectral Images and Spectral Angle”, Student poster, Consortium of Computing Sciences in Colleges Eastern Region (CCSCE), Juniata College, Huntingdon, PA, October 2010 
  • D. Halas* (S.A. Robila – advisor), “Best Facial Expressions to Use for Increased Facial Recognition by Hyperspectral Imaging”, New Jersey Academy of Science Annual Meeting, April 2010 
  • G. Roughton*, L. McKee* (A. Varde, S.A. Robila – advisors), “Comparing Feature Based and Wavelet Based Approaches to Image Processing”, Student poster, Consortium of Computing Sciences in Colleges Northeastern Region (CCSCNE), University of Hartford, West Hartford, CT, April 2010  
  • K. Rice* (S. A. Robila – advisor), “Hyperspectral Face Recognition”, National Science Foundation REU PI meeting, Austin, TX, February 2008 
  • J. W. Ragucci* (S. A. Robila - advisor), “Getting Off the Hook (Learn to Catch the Phish: A Tool for User Education)”, Sigma Xi, Montclair, NJ, May 2006 
  • P. Kafara* (S. A. Robila - advisor) “Security Data Loss Incidents: Policies and Reaction in Academic Institutions” , Sigma Xi, Montclair, NJ, May 2006 
  • J. Schicchi+ (S. A. Robila - advisor) “RFID: Security, Privacy, and Effective Application” , Sigma Xi, Montclair, NJ, May 2006 
  • D. McCarron* (S. A. Robila - advisor) “Security of Wireless Access Points” , Sigma Xi, Montclair, NJ, May 2006 
  • L. G. Maciak+, M. Alexis Ponniah+, R. Sharma+ (S. A. Robila - advisor) “Applying Steganography to Music Captioning - Embedding Lyrics in MP3 Files” , Sigma Xi, Montclair, NJ, May 2006 
  • S. Venugopal+ (S.A. Robila – advisor), “Interactive Survey Development Kit”, Sigma Xi, Montclair, NJ, May 2006 
  • R. Perriero*, S. Jui*, (S. A. Robila - advisor), “Clustering and Computing: A Look at Inexpensive Design Ideas”, Sigma Xi, Montclair, NJ, May 2005 
  • A. Mohiuddin+, R. Burus+, (S. A. Robila - advisor), “Generating Large Prime Numbers for Cryptographic Algorithms using Distributed Computing”, Sigma Xi, Montclair, NJ, May 2005