Dr. Stefan Robila is the Director of the Computational Sensing Laboratory.

His main research interests are in computational sensing. Dr. Robila has worked extensively with collection and analysis of hyperspectral data, and the development and implementation of computationally efficient feature extraction algorithms that use high performance computing. This work has now expanded into more general research and applications for large data sets. More recently, he has also started working on greening the computing infrastructure as well as cybersecurity. 

He is an active researcher with $5.25M ($2.31M as PI) in funding from federal agencies (NSF), state agencies (New Jersey Council for Humanities), private foundations (PSEG Foundation), private companies (HP, Sun Microsystems), professional organizations (SPIE), and internal programs, over 100 publications and many more presentations in a diversity of venues.

Stefan Robila's Research with MSU Page

Stefan Robila's Google Scholar

GRANTS ($5.25M; as PI - $2.31M)

External Funding 

1. 2024-2027 “MRI: Track 1 Acquisition of an Extended Reality Based Driving Simulator for User Centered Interdisciplinary Research and Education at MSU”, Co-PI, National Science Foundation, $533,798

2. 2024-2026, “CC* Regional Networking: Connectivity through Regional Infrastructure for Scientific Partnerships, Innovation, and Education”, Co-PI, National Science Foundation, Co-PI, $851,076

3. 2024 “Deployment of Virtual Machines for Operating Systems Course”, PI, Google Cloud Teaching Credits Program, cloud credits equivalent, $4,350

4. 2022-2025 “Collaborative Research: RET Site: Data Sciences and Data Fluency in Scientific Data Sets (DATA3)”, Co-PI, National Science Foundation, CNS-2206885, $560,110

5. 2022-2024. “Montclair State University CS Education Hub (MSU CS Hub)”, senior personnel, NJ CS for All: Expanding Professional Learning Competitive, $333,335.

6. 2022-2024. “Montclair State University CS for Everyone Everywhere (MSU CSEE) Program”, senior personnel, NJ CS for All: Implementing the 2020 CS Student Learning Standards Competitive, $330,330.

7. 2018-2021. “Intergovernmental Personnel Act (IPA) Assignment, CISE / OAC”, PI, National Science Foundation, $701,202

8. 2017-2018. “Roboto-san: The contrasting visions of Artificial Intelligence and Robotics in Japanese and Western culture”, Co-PI, New Jersey Council for Humanities, $20,000

9. 2016-2019 “Acquisition of a High-Performance Computing Environment for Advancement of Computational Science Research and Education”, PI, National Science Foundation, CNS-1625636, $497,057

10. 2012-2015. “MRI: Acquisition of an Imaging System for the Study of Complex Fluids”, Senior Personnel, National Science Foundation, CBET- 1229113, senior personnel, $171,135

11. 2012-2014. “REU Supplement - MRI: Acquisition of a High-Performance Computer Cluster Supporting Computational Science Research and Learning”, PI, National Science Foundation, CNS- 1219307, $18,965

12. 2011-2014. “Decision Support System (DSS) for IT Management”, PI, PSE&G (Public Service Enterprise Group) Technology Demonstration Grant Program, PI, $218,000

13. 2010-2014. “Montclair REU Site in Imaging and Computer Vision (iMagine)”, PI, National Science Foundation, IIS-1004447, $287,760

14. 2010-2013. “MRI-R2: CSAM Acquisition of Scientific Computing Capacity”, senior personnel, National Science Foundation, DMS-0959461, $129,000

15. 2009-2013. “MRI: Acquisition of a High-Performance Computer Cluster Supporting Computational Science Research and Learning”, PI, National Science Foundation, CNS-0922644, $190,010

16. 2007-2010. “Montclair REU Site in Imaging and Computer Vision (iMagine)”, PI, National Science Foundation, IIS-0648814, $260,000

17. 2006-2007. “MobilITy - Using Tablet PCs in the IT”, PI, Hewlett-Packard Tech. Grant - U06TFH0014, $70,000

18. 2006-2007. “A New Course in Pattern Discovery”, PI, The International Society for Optical Engineering (SPIE) Educational Grants - $2,500

19. 2005-2006. “Efficient Hyperspectral Image Processing”, PI, Sun Microsystems Academic Excellence Grant Program T-US-697950-C- $35,755

20. 2005-2006. “Promoting Optics and Imaging Through Outreach Activities”, PI, The International Society for Optical Engineering (SPIE) Educational Grants - $2,000

21. 2005. “Participation to the SPIE’s Imaging Science Symposium”, PI, The International Society for Optical Engineering (SPIE) Technical Programs Committee - $465

22. 2004. “Participation to the SPIE’s Defense and Security Symposium”, PI, The International Society for Optical Engineering (SPIE) Technical Programs Committee - $415

23. 2004-2005. “Center for Optics and Imaging Education”, PI, The International Society for Optical Engineering (SPIE) Educational Grants - $3,000

24. 2002. Society for Optical Engineering (SPIE) Student Travel Grant - $490

Internal Funding

1. 2023-2024. “Security and Privacy for Autonomous and Connected Vehicles”, Co-PI, Montclair State University, Faculty research Mentoring Program - $8,000

2. 2016-2017. “Roboto-San: The Contrasting Visions of Artificial Intelligence and Robotics in Japanese and Western Culture, Japan”, Co-PI, Montclair State University, Global Education Grants Program - $2,500

3. 2014-2015. “Social Network Data Integration for Cybersecurity”, PI, Montclair State University, Separately Budgeted Research Program - $4,000

4. 2014-2015. “CUDA GPU and Efficient Processing of Remote Sensing Data”, PI, Montclair State University, CSAM Sokol Faculty / Student Research Program - $2,000

5. 2012. “Participation in the IEEE ICALT 2012”, PI, Montclair State University – Global Ed. Grants - $800

6. 2009-2010. “Hyperspectral Image Acquisition System”, PI, Montclair State University – Grant Proposal Development Program - $2000

7. 2009. “Participation in the IEEE IGARSS 2009”, PI, Montclair State University – Global Ed. Grants - $800

8. 2007. “Participation in the IEEE IGARSS 2007”, PI, Montclair State University – Global Ed. Grants - $800

9. 2006-2007. “Efficient Use of RFID Technology for Equipment Tracking”, PI, Montclair State University – Student Faculty Research Projects - $1,500

10. 2006. “Participation in the ACM ITiCSE 2006”, PI, Montclair State University – Global Ed. Grants - $800

11. 2006-2007. “A Query System for Remote Sensing Data”, PI, Montclair State University, CSAM Sokol Faculty / Student Research Program - $2,000

12. 2005. “Participation in the IEEE ISSCS 2005”, PI, Montclair State University – Global Ed. Grants - $800

13. 2005-2006. “Real Time Feature Extraction for Remote Sensing”, PI, Montclair State University – Separately Budgeted Research - $2,000

14. 2004-2005. “Hyperspectral Image Acquisition”, PI, Montclair State University – Student Faculty Research Projects - $2,000

15. 2004-2005. “Remote Sensing Data Processing in a Distributed Environment”, PI, Montclair State University – Separately Budgeted Research - $2,000

16. 2002-2003. “Employment of Multimedia and Internet in Teaching Computer Science”, PI, University of New Orleans – Faculty Initiative for Technology in Teaching - $3,250

17. 2001. Syracuse University Travel Grant - $500

PUBLICATIONS AND PRESENTATIONS

Peer Reviewed Publications denotes *undergraduate student, +graduate student, ^K-12 teacher

1. M. Robila and S. A. Robila. " Using Artificial Intelligence Methodologies in Examining Parenting Behaviors and Services", pp. 1-18, submitted, 2025.

2. G. Pagano*, M. Kiwior*, J. Gross*, A. Reyes*, E. Ramos*, I. Cumberbatch, J. Latimore, E. Hu-Au, E., S.A. Robila, D. Wilson, and A.R. Tuininga, “Greens Do Good: A Hydroponic Vertical Farm Augmented and Virtual Reality Training Prototype for Autistic Trainees”, Proceedings of the Immersive Learning Research Network: 11th International Conference, iLRN2025, in press, 2025.

3. J. Liporace^, K.G. Herbert, V.K. Anu, R. Goldstein, S. Hagiwara, S.A. Robila, and T.J. Marlowe, “Teaching AI to Non-STEM Students: A General Education Approach Using Space Weather and Low-Code Tools”, Proceedings IEEE Integrated STEM Education Conference (ISEC), pp. 1-6, in press, 2025

4. J. Brown^, K.G. Herbert, V.K. Anu, R. Goldstein, S. Hagiwara, S.A. Robila, and T.J. Marlowe, “Utilizing Modern STEM Tools and Devices to Promote Space Weather Awareness across K-12 Grade Levels: A Work-in-Progress Report”, Proceedings IEEE Integrated STEM Education Conference (ISEC), pp. 1-4, in press, 2025

5. M.M. Menichella^, S.A. Robila, K.G. Herbert, V.K. Anu, S. Hagiwara, R. Goldstein, and T.J. Marlowe, “Simplifying Space Weather for Students - A Cross Curricular Resource for all Middle School Students”, Proceedings IEEE Integrated STEM Education Conference (ISEC), pp. 1-4, in press, 2025

6. L. Hazelman^, R. Goldstein, V.K. Anu, K.G. Herbert, S.A. Robila, S. Hagiwara, and T.J. Marlowe, “Exploring Solar Weather through Gamified Folklore and Science with Scratch”, Proceedings IEEE Integrated STEM Education Conference (ISEC), pp. 1-5, in press, 2025

7. A. Brantley^, K.G. Herbert, V.K. Anu, S. Hagiwara, S.A. Robila, R. Goldstein, J.T. Wang, and T.J. Marlowe, “Space Explorers: A Web-based Platform to Supports Space Weather Education Through Storytelling Data Visualization”, Proceedings IEEE Integrated STEM Education Conference (ISEC), pp. 1-4, in press, 2025

8. A. Cannella^, E. Douglass^, K.G. Herbert, V.K. Anu, S. Hagiwara, T.J. Marlowe, S. A. Robila, and R. Goldstein, “Integrating Computational Thinking and Engineering Design in STEM: Exploring Logistics and Societal Impact”, Proceedings IEEE Integrated STEM Education Conference (ISEC), pp. 1-6, in press, 2025

9. T. Samaras^, K. G. Herbert, V. K. Anu, S. Hagiwara, R. Goldstein, S.A. Robila, J.T. Wang, V. Oria, and T. J. Marlowe, “Understanding Multidimensional Concepts through Game-Based Learning in the K-12 Curriculum”, Proceedings IEEE Integrated STEM Education Conference (ISEC), pp. 1-4, in press, 2025

10. S. Ehiri+, S. A. Robila, "Sustainability for Estimating Global Energy Efficiency of Data Centers", Proc. 

11. Proc IEEE Int. Conf. Electronics, Computers and Artificial Intelligence (ECAI 2024), pp. 1-6, doi: 10.1109/ECAI61503.2024.10607509, 2024

12. K.G. Herbert, T.J. Marlowe, V.K. Anu, S.A. Robila, “K-12 Teachers and Data Science: Learning Interdisciplinary Science through Research Experiences”, Proceedings American Association of Engineering Education (ASEE), pp. 1-7, 2024

13. T. Samaras^, T.J. Marlowe, K.G. Herbert, V. K. Anu, S. Hagiwara, and S. A. Robila, “Interdisciplinary Synergy: Resources for Embedding Plugged and Unplugged Computer and Data Science Activities into the K-12 Curriculum”, Proceedings IEEE Integrated STEM Education Conference (ISEC), pp. 97-100, 2024

14. A. Brantley^, K.G. Herbert, V.K. Anu, S. Hagiwara, S.A. Robila, J.T. Wang, “Understanding Space Weather Through Storytelling Data Visualization”, Proceedings IEEE Integrated STEM Education Conference (ISEC), pp. 220-223, 2024

15. E. Douglass^, A. Cannella^, K.G. Herbert, V.K. Anu, S. Hagiwara, T.J. Marlowe, S.A. Robila, “Design and Implementation of a STEAM Robotics Lesson on the Spotted Lanternfly: Engineering a Computer Science Solution”, Proceedings IEEE Integrated STEM Education Conference (ISEC), pp. 367-370, 2024

16. M.M. Menichella^, S.A. Robila and K.G. Herbert, T.J. Marlowe. “Creating a Cross, Curricular Resource for Solar Weather History and Its Impact on Daily Life”, Proceedings IEEE Integrated STEM Education Conference (ISEC), pp. 402-405, 2024

17. C. Drozdowski^, T. J. Marlowe, K.G. Herbert, V.K. Anu, S. Hagiwara, S.A. Robila, “The APP Method: Self-Regulation Strategies Giving POWER to Computer Science Students”, Proceedings IEEE Integrated STEM Education Conference (ISEC), pp. 412-415, 2024

18. S. Emeghara^, S. Hagiwara, S.A. Robila, K.G. Herbert, T. Marlowe, V.K. Anu. “A Cyber-Physical Systems Approach to Teaching Solar Weather Topics in Middle School”, Proceedings IEEE Integrated STEM Education Conference (ISEC), pp. 495-498, 2024

19. I. Cumberbatch, J. Olatunji*, S.A. Robila “Using Extended Reality Technology in Science Education”, Proceedings IEEE Long Island Systems, Applications and Technology Conference (LISAT), pp. 1-7, 2023

20. A. Moctezuma*, S.A. Robila, “A Framework for Evaluating Parental Controls for Streaming Services”, Proc. IEEE Integrated STEM Education Conference (ISEC), pp. 199-203, 2023

21. I. Cumberbatch, S. A. Robila, "An extended reality environment for urban area environmental data analysis", Proc. SPIE Geospatial Informatics XIII, vol. 12525, pp. 203-211, 2023

22. A. Saxena+, S.A. Robila “Automated machine learning for analysis and prediction of vehicle crashes”, International Journal of Informatics and Communication Technology, vol 12, No. 1, pp. 46-53, 2023

23. J. Gallino+, S. A. Robila, “HyperGiX – A User Friendly Open-source Hyperspectral Imagery Application”, Proc. IEEE IGARSS, pp. 4019-4022, 2022

24. E. Zharri+, S.A. Robila “Shiny Dashboard - NYC Trees Benefit Estimation”, Proc. IEEE Long Island Systems, Applications and Technology Conference (LISAT), pp. 1-6, 2022

25. S. Vollmin+, S.A. Robila “A Machine Learning Utility for Detection of Potential Protected Health Information Images”, Proc. IEEE Long Island Systems, Applications and Technology Conference (LISAT), pp. 1-7, 2022

26. R. DePascale+, S.A. Robila “A Semantic Text Processing System for Free-Write English Papers”, Proc.IEEE Integrated STEM Education Conference (ISEC), pp. 1-8, 2022

27. A. Saxena+, S.A. Robila “Analysis of the New York City’s Vehicle Crash Open Data”, Proc. IEEE International Conference on Big Data (Big Data), pp. 1-3, 2021

28. O. Alkhalili+, S.A. Robila “Tracking the Impact of Fake News on US Election Cycles”, GoodIT '21: Proceedings of the Conference on Information Technology for Social Good, pp 192–197, 2021.

29. S.A. Robila, D. Grant, C. DePrater, V. Sorell, T. Rogers, D. Martinez and S. Novotny “Cooling the Data Center: Design of a Mechanical Controls Owner Project Requirements (OPR) Template”, Proceedings IEEE Cluster 2021, EE HPC SOP 2021: Energy Efficient HPC State of the Practice Workshop, pp. 1-6, 2021

30. 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.

31. 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

32. I. Gaidukova+, Priyanka Phapale+, S.A. Robila “Visualizing Weather Financial Impact on Industries

33. and Weather Derivatives”, Proceedings IEEE Long Island Systems, Applications and Technology Conference (LISAT), pp. 1-7, 2019

34. 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

35. 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

36. 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

37. P. Persaud*, A. Varde, S.A. Robila, “Enhancing Autonomous Vehicles with Commonsense: Smart Mobility in Smart Cities”, Proceedings IEEE ICTAI, 1-5, 2017

38. 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

39. 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

40. 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

41. M. Pawlish+, A. Varde, S.A. Robila, “The Greening of Data Centers with Cloud Technology”, International Journal of Cloud Applications and Computing, 5(4), 1-23, October-December 2015

42. 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, 53(1), pp. 1–21. 2015

43. 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

44. 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

45. 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

46. 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

47. M. Pawlish+, A. Varde, S.A. Robila, “Decision Support in Data Centers for Sustainability”, Proceedings.IEEE Int. Conference on Data Mining Workshops (ICDMW), pp. 613-620, 2013

48. S. A. Robila, “Introducing Green Computing to General Education” Proceedings of Society for Information Technology & Teacher Education Int. Conference (SITE), pp. 78-83, 2013.

49. M. Pawlish+, A. Varde, S.A. Robila, “Cloud Computing for Environment Friendly Data Centers”, Proceedings International Workshop on Cloud Data Management CloudDB, pp. 43-48, 2012

50. 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

51. S. A. Robila, “A Sustainability Component for a First-Year Course for Information Technology Students”, Proceedings Int. Conf. on Advanced Learning Technologies, pp. 90-94, 2012

52. 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

53. 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

54. 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

55. S. A. Robila, G. Busardo+, “Hyperspectral Data Processing in a High-Performance Computing Environment” in Proceedings IEEE PDSEC IPDPS, 2011, pp. 1424-1431, 2011

56. 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

57. 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

58. S. A. Robila, “Considerations on Unsupervised Spectral Data Unmixing and Complexity Pursuit”, Proceedings IEEE IGARSS, pp. 987 – 990, 2010

59. S. A. Robila, M. Butler+, “Parallel Unmixing of Hyperspectral Data Using Complexity Pursuit”, Proceedings IEEE IGARSS, pp. 1035-1038, 2010

60. 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

61. 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

62. B. Kaipa+, S.A. Robila, "Statistical Steganalysis of Images Using Open-Source Software " Proceedings IEEE LISAT 2010, pp.1-5, 2010

63. S. A. Robila, “Band reduction for hyperspectral imagery processing,” in Proceedings SPIE Computational Imaging VIII, vol. 7533, pp. 75330W-9, 2010

64. S. A. Robila, “Spectral Image Processing Using Sparse Linear Transforms”, Proceedings IEEE IGARSS, pp. IV-534-7, 2009

65. S.A. Robila, "Quo Vadis face recognition: Spectral considerations," Proceedings IEEE Long Island Systems, Applications and Technology Conference (LISAT), pp.1-5, 2009

66. 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

67. 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

68. 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

69. 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

70. 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

71. 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

72. S. A. Robila, “Toward hyperspectral face recognition,” in Proceedings SPIE Image Processing: Algorithms and Systems VI, vol. 6812, pp. 68120X-9, 2008

73. 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 

74. 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

75. J. Peng, S. A. Robila, “Weighted Additive Criteria for Linear Dimension Reduction”, Proceedings IEEE ICDM, pp.619-624, 2007

76. S. A. Robila, “Information Disclosure Incidents and Computer Security Education”, Proceedings ASEE MidAtlantic Conference, 7 pgs on CD, 2007

77. 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  

78. S. A. Robila, “New Developments in Target Detection in Hyperspectral Imagery Using Spectral Metrics and Spectra Extraction”, Proceedings ASPRS National Conference, pp. 1-11, 2007

79. 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

80. S. A. Robila, “A Class of Detection Filters for Targets and Anomalies in Multispectral / Hyperspectral Imagery”, Proceedings IEEE CVPR, 132-140, 2006

81. S. A. Robila, “Use of Remote Sensing Applications and its Implications to the Society”, Proceedings IEEE ISTAS, 1-6, 2006

82. J. Ragucci*, S. A. Robila, “Social Aspects of Phishing”, Proceedings IEEE ISTAS, 1-5, DOI: 10.1109/ISTAS.2006.43758935, 2006

83. 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

84. S. A. Robila, J. Ragucci*, “Don’t be a Phish: Steps in User Education”, Proceedings ITiCSE, 237-241, 2006.

85. S. A. Robila, “Real Time Processing of Hyperspectral Images”, Proceedings ASPRS Annual Conference, 5 pgs. on CD, 2006

86. 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, pp. 166-171, 2005

87. S. A. Robila, “Using Spectral Distances for Speedup in Hyperspectral Image Processing”, International Journal of Remote Sensing, vol 26, no. 24, pp. 5629-5650, 2005

88. 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, pp. 91-95, 2005

89. S. A. Robila, C. Bredlau, “Writing Requirements in Computer Security”, in Proceedings ACM SIGITE, pp. 385-386, 2005

90. S. A. Robila, “Distributed Computing and Computer Security Education”, in Proceedings ACM SIGITE, pp. 383-384, 2005

91. S. A. Robila, A. Gershman*, “Spectral Matching Accuracy in Processing Hyperspectral Data”, in Proceedings IEEE ISSCS, pp. 163-166, 2005

92. S. A. Robila, “Interdisciplinary Undergraduate Research with Focus on Hyperspectral / Multispectral Imagery”, ASEE Mid-Atlantic Conference, pp. 1-11, 2005

93. S. A. Robila, “An Investigation of Spectral Metrics in Hyperspectral Image Preprocessing for Classification”, Proceedings ASPRS Annual Conference, pp. 1-9., 2005

94. 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

95. S. A. Robila, “An Analysis of Spectral Metrics for Hyperspectral Image Processing”, IEEE Geoscience and Remote Sensing Symposium, IGARSS, vol. 5, pp. 3233-3236, 2004

96. S. A. Robila, “Distributed Processing of Hyperspectral Images”, Proceedings ASPRS Annual Conference, Denver, CO, pp. 1-4, 2004

97. 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

98. S. A. Robila, “Higher Order Statistics Based Feature Extraction for Hyperspectral Images”, Proceedings ASPRS Annual Conference, pp. 1, 2003

99. S. A. Robila, “Investigation of Spectral Screening Techniques for Hyperspectral Image Processing”, Proceedings ASPRS Annual Conference, pp. 1, 2003

100. 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

101. 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

102. 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

103. 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 

104. 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

105. 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, pp. 1-8, 2000

106. S. Taylor, T. Achalakul, J. Lee, K. Lhee, S. A. Robila, "Resilient Remote Sensing", National Symposium on Sensor and Data Fusion, pp. 1-7., 2000

Book Chapters

1. 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.

2. 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.

3. 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.

4. 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.

5. 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

1. S. A. Robila, “Future of Imaging: What Comes Next?” – invited contributor, Advanced Imaging Magazine, vol. 20, No. 1, 2005, pp. 34-36.

2. 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

1. T. Samaras, T. J. Marlowe, K. G. Herbert, V. K. Anu, S. Hagiwara; S. A. Robila, “Interdisciplinary Synergy: Resources for Embedding Plugged and Unplugged Computer and Data Science Activities into the K-12 Curriculum”.  Int. Society for Technology in Education (ISTE) EdTech Conference, Denver CO, Jun 2024.

2. M. Robila, S.A. Robila, “Artificial Intelligence Methodologies in Examining Human Development and Family Functioning”. American Psychological Association Convention, virtual, August 2020.

3. M. Robila, S.A. Robila, “Using Artificial Intelligence and Machine Learning in Supporting Families in an International Context”. Annual Conf. of the National Council on Family Relations, Fort Worth, TX, Nov 2019.

4. S.A. Robila, “An Energy Efficiency Focused Analysis of Cloud, Edge and Fog Computing Environments”, IEEE International Conference on Edge Computing and Scalable Cloud, Paris, France, Jun 2019

5. 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, Mar 2016

6. S. A. Robila, “Feature extraction for remote sensing data using massive parallel processors”. World Weather Open Science Conference, Montreal, QC, Aug 2014

7. S. A. Robila, “Computational Sensing Laboratory: Research and Education in Large Data Sets”. New Jersey Big Data Alliance Symposium, Piscataway, NJ, Apr 2014

8. S. A. Robila, “Analysis of Industrial Visits as Component of Undergraduate Research Activities”, Council on Undergraduate Research Annual Conference, Ewing, NJ, Jun 2012

9. K. Herbert, J. Fails, E. Hill, M. Oudshoorn, S. A. Robila, “Research Transcending Historic Disciplinary Boundaries”, Council on Undergraduate Research Annual Conference, Ewing, NJ, Jun 2012

10. S. A. Robila, “Linear Sparse Feature Extraction Transforms for Remote Sensing Images”, ASPRS Annual Conference, Portland, OR, May 2008

11. S. A. Robila, M. D. Islam*, “HYPDB - A Query System for Remote Sensing Data“, ASPRS Annual Conference, Portland, OR, May 2008

12. M. Robila, S. A. Robila, “Developing an Interdisciplinary Partnership in Using Technology in Teaching”, Teaching in Higher Education Forum (THE 2003), Baton Rouge, LA, Apr 2003

13. S. A. Robila, P. K. Varshney, S. Taylor, “Feature Extraction for Hyperspectral Images Using Independent Component Analysis”, Fifth Int. Airborne Remote Sensing Conf. and Exhibition, Miami, FL, May 2002

White Paper

1. 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