Skip to Main Content

Selected Peer-Reviewed Refereed Publications

Selected Peer-Reviewed Refereed Publications

  1. Megherbi, D.B.; Mack, P., DiZoglio, J.; Vakil, M.I.; Limberopoulos, Urbas, A.M, “Using FTIR Spectral Response Signals to Separate, Characterize and Quantify the Effects of Silicone Based Adhesive on Microsphere Lens Enhanced MWIR SLS Photo Detectors” Proceedings of the 2017 IEEE National Conference on Aerospace and Electronics, NAECON–OIS, July 2017.
  2. Megherbi, D.B.; DiZoglio, J.; Mack P., Vakil, M.I.; Limberopoulos, Urbas, A.M, “A Signal Processing and Data Analysis Technique for Accurate Extraction and Estimation of FTIR Signal Aberrations in Microsphere-Lens-Enhanced MWIR Photo Detectors Via System Transfer Functions Mathematical Modeling” Proceedings of the 2017 IEEE National Conference on Aerospace and Electronics, NAECON–OIS, July 2017
  3. Vakil M. I., Megherbi, D. B., Malas J. A. “A Robust Multi-Stage Information-Theoretic Approach for Registration of Partially Overlapped Hyperspectral Aerial Imagery and Evaluation in the Presence of System Noise”, Journal Signal Processing: Image Communication (Elsevier), Volume 52, March 2017, pp 97-110.
  4. J. Blumenthal, and D. B. Megherbi, “Supervised Machine Learning Via Hidden Markov Models for Accurate Clustering of Plant Stress Levels Based on Imaged Chlorophyll Fluorescence Profiles & Their Rate of Change in Time”, Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications” (CIVEMSA), April 2017.
  5. T. Calloway and D. B. Megherbi, “Global Localization and Tracking for Wearable Augmented Reality in Urban Environments”, Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications” (CIVEMSA), April 2017.
  6. O. Habbouli, D. B. Megherbi, “A Secure, Self-recovery, and High Capacity Blind Image Information Hiding, and Authentication Scheme Using DCT Moments”, Proceedings of the IEEE International Conference on Technologies for Homeland Security, April 2017.
  7. I. Vakil, D. B. Megherbi, “Area-Based Similarity Measures Residue Analysis for Registration of Remotely Sensed Aerial Imagery for Homeland-Security Wide Area Surveillance”, Proceedings of the IEEE International Conference on Technologies for Homeland Security, April 2017.
  8. Vakil M. I., Megherbi, D. B., Malas J. A. (December 2016) A Robust Multi-Stage Information-Theoretic Approach for Registration of Partially Overlapped Hyperspectral Aerial Imagery and Evaluation in the Presence of System Noise, Journal Signal Processing: Image Communication (Elsevier), on-line December 2016.
  9. Megherbi, D.B.; DiZoglio, J.; Vakil, M.I.; Limberopoulos, Urbas, A.M, “Analysis of the Effect of Microsphere-Lens Material Spectral Absorption on the Overall FTIR Spectral Response of MWIR Microsphere-Lens-Enhanced SLS Photo Detectors”, Proceedings of the 2015 IEEE National Conference on Aerospace and Electronics, NAECON–OIS, July 2016
  10. Megherbi, D.B.; DiZoglio, J.; Vakil, M.I.; Limberopoulos, Urbas, A.M, “Characterization and Estimation of Microsphere-lens Misalignment from FTIR Response Data of Microsphere-Lens-Enhanced MWIR SLS Photo Detectors” Proceedings of the 2015 IEEE National Conference on Aerospace and Electronics, NAECON–OIS, July 2016
  11. Peter Mack, and D. B. Megherbi, “A Content-Based Image Retrieval Scheme Via Multi-Page Differential Hashing and Multi-object Searching Tree Based--Buckets”, Proceedings of the 2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications” (CIVEMSA), June 2016
  12. D. B. Megherbi, and Minsuk Kim, “A Hybrid P2P and Master-Slave Cooperative Distributed Multi-Agent Reinforcement Learning System with Asynchronously Triggered Exploratory Trials and Clutter-based-index Selected Sub-goals “, Proceedings of the 2016 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications” (CIVEMSA), June 2016
  13. Tom Calloway, and D.B. Megherbi, “Using 6 DOF Vision-Inertial Tracking to Evaluate and Improve Low Cost depth Sensor-Based SLAM”, Proceedings of the 2016 IEEE International Conference on Technologies for Homeland Security, June 2016.
  14. Iliana Voynichka and D. B. “Analysis of the Effect of Selecting Statistically Significant Registered Image Pixels on Individual Face Physiognomy Recognition Accuracy”, Proceedings of the 2016 IEEE International Conference on Technologies for Homeland Security, April 2016.
  15. Imran Vakil, Dalila B. Megherbi, John Mallas” Optimized NCC-Information Theoretic Metric for Noisy-Wavelenght-Band Specific Similarity Measures”, Proceedings of the 2016 IEEE International Conference on Technologies for Homeland Security, April 2016.
  16. Vakil, M.I.; Malas, J.A.; Megherbi, D.B., “An Information Theoretic Metric for Identifying Optimum Solution for Normalized Cross Correlation based Similarity Measures," Proceedings of the 2015 IEEE National Conference on Aerospace and Electronics, NAECON–OIS, June 2015
  17. Vakil, M.I.; Malas, J.A.; Megherbi, D.B., “Information Theoretic Approach for Template Matching in Registration of Partially Overlapped Aerial Imagery," Proceedings of the IEEE 2015 National Conference on Aerospace and Electronics, NAECON –OIS 2015, June 2015
  18. Megherbi, D.B.; Paradiso G.; Vakil, M.I.; Limberopoulos, N.I.; Duran, J. M.; Urbas, A.M.; “Performance Metric for Overall Characterization and Comparison of Strained‐Layer Superlattice Infrared Photodetectors Enhanced With Microsphere Lenses of Various Material Structure Types and Sizes,” Proceedings of the 2015 IEEE National Conference on Aerospace and Electronics, NAECON–OIS, June 2015
  19. Megherbi, D.B.; Paradiso G.; Vakil, M.I.; Limberopoulos, N.I.; Duran, J. M.; Urbas, A.M.; Allen, K. W., “A Signal Processing Method for Signal‐to‐Noise (SNR) Profile Extraction, Characterization and Comparison of Strained‐Layer Superlattice (SLS) Infrared Photodetectors Enhanced With Microsphere Lenses of Various Material Structure Types and Sizes,” Proceedings of the 2015 IEEE National Conference on Aerospace and Electronics, NAECON –OIS, June 2015
  20. H. Saghir, and D. B. Megherbi “Big Data Biology-Based Predictive Models Via DNA-Metagenomics Binning For WMD Events Applications”, Proceedings of the 2015 IEEE International Conference on Technologies for Homeland Security, April 2015.
  21. M. I. Vakil and D. B. Megherbi, “An Efficient Multi-stage Hyper-spectral Aerial Image Registration Technique in the Presence of Differential Spatial and Temporal Sensor Uncertainty with Application To Large Critical Infrastructures & Key Resources (CIKR) Surveillance”, Proceedings of the 2015 IEEE International Conference on Technologies for Homeland Security, April 2015.
  22. I. Voynichka, and D. Megherbi, “Analysis of the Effect of Using Non-Composite Multi-Channel Raw Color Images on Face Recognition Accuracy with Arbitrary Large Off-the-Plane Rotations”, Proceedings of the 2015 IEEE International Conference on Technologies for Homeland Security, April 2015.
  23. D. B. Megherbi, and M. Kim, “A Collaborative Distributed Multi-Agent Reinforcement Learning Technique for Dynamic Agent Shortest Path Planning Via Selected Sub-goals in Complex Cluttered Environments”, Proceedings of the IEEE 2015 International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), March 2015 (Invited Paper).
  24. T. Calloway and D. B. Megherbi, “Orientation Estimation via Low Cost Depth Sensor ICP versus MEMS Gyroscope Sensor Fusion, Proceedings of the IEEE 2014 International Conference on Robotics and Manufacturing Automation, December 2014 (Best Paper Award).
  25. Pierre Bushel,…..D. B. Megherbi, ”Bioinformatics Applications Reveal Gene Regulation Complexities in Response to Toxicant Exposures”. Environmental and Molecular Mutagenesis September 2014 
  26. D. B. Megherbi and al. (SEQC), “The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance”, Nature Biotechnology, (on-line August 2014) September 2014 (Impact Factor 41.514).
  27. B. Megherbi and al, (SEQC)”A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium”, Nature Biotechnology, (on-line August 2014) September 2014 (Impact Factor 41.514).
  28. M. I. Vakil, John A. Malas, and D. B. Megherbi, “An Efficient Two-phase Guided Execution of Hybrid Similarity-Measures For Automatic Registration of Partially Overlapped Aerial Imagery”, Proceedings of the 2014 IEEE National Aerospace and Electronics Conference (NAECOM, June 2014
  29. Yoynichka, and D. B. Megherbi, “Analysis of the Effects of Image Transformation, Template Selection, and Partial Information on Face Recognition with Time-Varying Expressions”, Journal of Homeland Security Affairs, April 2014.
  30. P. Beaulieu, D. B. Megherbi, “A Study of the Effect of Feature Reduction Via Statistically Significant Pixel Selection on Fruit Object Representation, Classification, and Machine Learning Prediction”, Proceedings of the 2014 IEEE International Conference on Computational Intelligence and Virtual and Virtual Environments for Measurement Systems and Applications” (CIVEMSA), May 2014
  31. A. J. Myers, D. B. Megherbi, “An Efficient Computational Intelligence Technique for Affine-Transformation-Invariant Image Face Detection, Tracking, and Recognition in a Video Stream”, Proceedings of the 2014 IEEE International Conference on Computational Intelligence and Virtual and Virtual Environments for Measurement Systems and Applications” (CIVEMSA), May 2014.
  32. I. Yoynichka, and D. B. Megherbi, “Analysis of the Effects of Image Transformation, Template Selection, and Partial Information on Face Recognition with Time-Varying Expressions”, Proceedings of the 2013 IEEE International Conference on Technologies for Homeland Security, November 2013 (Best Paper Award of all conference tracks).
  33. H. Saghir, and D. B. Megherbi, “A Random-Forest-based Efficient Comparative Machine Learning Predictive DNA-Codon Metagenomics Binning Technique For WMD Events & Applications”, Proceedings of the 2013 IEEE International Conference on Technologies for Homeland Security, November 2013.
  34. D. B. Megherbi, M. Kim, M. Madera, “A Study of Collaborative Distributed Multi-Goal & Multi-Agent-based Systems For Large Critical Key Infrastructures and Resources (CKIR) Dynamic Monitoring and Surveillance”, Proceedings of the 2013 IEEE International Conference on Technologies for Homeland Security, November 2013.
  35. C. J. Vanthin, and D. B. Megherbi, “A Bayesian-Learning Technique for Automatic Preemptive Loads Through I/O Devices Via The Mouse Pointer”, Proceedings of the 2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications” (CIVEMSA), July 2013
  36. H. Saghir, and D. B. Megherbi, “An Efficient Comparative Machine Learning-based Metagenomics Binning Technique Via Using Random Forest”, Waltham Proceedings of the 2013 IEEE International Conference on Computational Intelligence and Virtual and Virtual Environments for Measurement Systems and Applications” (CIVEMSA), July 2013.
  37. S. M. El-Shoura, D. B. Megherbi, “Analysis of Noise Sensitivity of Tchebichef and Zernike Moments with Application to Image Watermarking”, Journal of Visual Communication and Image Representation Image Representation, March 2013 .
  38. H. Saghir & D. B. Megherbi, “An Efficient Comparative Machine Learning-based Metagenomics Binning Technique Via Optimal Feature-reduction Methods International Conference on Bioinformatics and Computational Biology (BICoB), Honolulu, Hawai, March 4-6 2013
  39. S. M. El-Shoura, D. B. Megherbi, “A Secure and Robust High Capacity Information Hiding Scheme via Tchegherbichef Moments” Journal of Signal Processing and Image Communication, January 2013
  40. Iliana Voynichka, March 2013, (Computer Engineering) MS thesis: “Analysis of the Effects of Image Analysis of the Effect of Image Registration Template Selection and Partial Information Compilation of Facial Recognition Accuracy
  41. Prasad K., “Advanced VLSI Training Being Imparted Regionally, Nationally and Internationally ” to be presented at ASEE’s North East Conference to be held at Norwich University at Vermont (March 15-16th, 2013).
  42. Prasad K., “ Integration of social, ethical, environmental and economic impacts on capstone design with the cooperation of Hi-tech leaders” to be presented at ASEE’s National Conference to be held in Atlanta (June 22-26th, 2013).
  43. Puminun Vasinajindakaw, Guiru Gu, Xuejun Lu, “Broadband photocurrent enhancement in longwave infrared quantum dot photodetectors by sub-wavelength surface gratings,” Accepted, Optics and photonics letters (2013).
  44. Yunfeng Ling, Guiru Gu, Runyu Liu, Xuejun Lu, Vijaya Kayastha, Carissa S. Jones, Wu-Sheng Shih, and Daniel C. Janzen, “Investigation of the humidity-dependent conductance of single-walled carbon nanotube networks,” J. Appl. Phys. 113, 024312 (2013).
  45. Socrates Akpoyibo, MS thesis, Electrical and Computer Engineering, “Levy Walk Models of Survivor Movement in Disaster Areas with Barriers,” University of Massachusetts Lowell, MS Thesis, May 2013.
  46. Hang Yin, MS thesis, Electrical Engineering, June 2013, “3D Reconstruction Form Infrared Stereo Image Pairs”
  47. Al-Dayaa, D. B. Megherbi, “Towards A Multiple-Lookahead-Levels Reinforcement-Learning Technique and Its Implementation in Integrated Circuits”, Journal of Artificial Intelligence”. Journal of Supercomputing, August 31, 2012 . Volume 62, issue 1 (2012) pp 588-615
  48. M. Madera, D. B. Megherbi, “An Interconnected Dynamical System Composed of Dynamics-based Reinforcement Learning Agents in a Distributed Environment: A Case Study”, Proceedings IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, Italy, July 2012.
  49. D. B. Megherb, B. Soper, “Analysis of How the Choice of Machine Learning Algorithms Affects The Prediction of A Clinical Outcome Prior to Minimally Invasive Treatments for Benign Pro Static Hyperplasia BPH”,Proceedings IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, Italy, July 2012.
  50. D. B. Megherbi, H. Elomari, “A Distributed Behavioral-based Technique for Multi-agent Sensory & Event-driven Autonomous Navigation and Formation” Proceedings IEEE International Conference on Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, New Orleans, LA, March, 2012.
  51. D. B. Megherbi, V. Malayia, “Cooperative and Collaborative Re-enforcement Learning in A Distributed Multi-agents-based Autonomous Path Planning in a Dynamic Unstructured Environment”, Proceedings IEEE International Conference on Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, New Orleans, LA, March, 2012.
  52. D. B. Megherbi, V. Malaya, ”A Hybrid Cognitive/Reactive Intelligent Agent Autonomous Path Planning Technique in a Networked-Distributed Unstructured Environment for Reinforcement Learning,” The Journal of Supercomputing, January 25, 2012, Vol. 59, Issue 3, p 1188-1217.
  53. H. S. Al-Dayaa and D. B. Megherbi, “Reinforcement Learning Technique Using Agent State Occurrence Frequency with Analysis of Knowledge Sharing on the Agent’s Learning Process in Multi-Agent Environments”, The Journal of Supercomputing, Volume 59, Number 1, 526-547, DOI:10, 1007/s 11227-010-0451-x, January 2012.
  54. Prasad K., Invited Presentation “Mixing Fundamentals with State –of-Art Technology for preparing the students for 21st century” at BRCEM Nagpur, India Jan 2012.
  55. Prasad K., Presented “Preparing the students for 21st century with a proper mix of Fundamentals with state-of-Art Technology in Collaboration with regional Hi-Tech Industry” in Executive session at ICC April 2012.
  56. Runyu Liu, Puminun Vasinajindakaw, Guiru Gu, Jarrod Vaillancourt, and Xuejun Lu, “Optimizing light absorption in quantum dot infrared photodetectors by tuning surface confinement of surface plasmonic waves,” J. Phys. D: Appl. Phys. 46 015102, (2012).
  57. Puminun Vasinajindakaw, Jarrod Vaillancourt, Guiru, Gu, and Xuejun Lu, “Surface plasmonic enhanced polarimetric longwave infrared photodetection with band pass spectral filtering,” Semiconductor Science and Technology, Semicond. Sci. Technol. 27 (2012) 065005.
  58. Maggie Yihong Chen, Daniel Pham, Harish Subbaraman, Xuejun Lu, and Ray T. Chen, “Conformal Ink-Jet Printed C-Band Phased-Array Antenna Incorporating Carbon Nanotube Field-Effect Transistor Based Reconfigurable True-Time Delay Lines,” IEEE Transactions on Microwave Theory and Techniques, Vol.60, No. 1, pp. 179-184 (2012).
  59. R.G.L. Narayanan and O.C. Ibe, “ A Joint Network for Disaster Recovery and Search and Rescue Operations, Computer Networks, volume 56, pp. 3347-3373, 2012
  60. Al-Dayaa, D. B. Megherbi, “Towards A Multiple-Lookahead-Levels Reinforcement-Learning Technique and Its Implementation in Integrated Circuits”, Journal of Artificial Intelligence”. Journal of Supercomputing, December 2011 (on-line).
  61. D. B. Megherbi, Brian Soper, “Effect of Feature Selection on Machine Learning Algorithms for More Accurate Predictor of Surgical Outcomes in Benign Pro Static Hyperplasia Cases (BPH), ,IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, Ottawa, CA, September 2011.
  62. D. B. Megherbi, Dong Chao Xu, “Multi-Agent Distributed Dynamic Scheduling for Large Distributed Critical Key Infrastructures and Resources (CKIR) Surveillance and Monitoring”, Proceedings IEEE International Conference on Technology for Homeland Security, Waltham , November 2011.
  63. D. B. Megherbi, and D. Pandit, “An Event-Driven Middleware Architecture and Protocol design for Geographically Intelligent Distributed Battlefield Training, Modeling and Simulation”, Proceedings IEEE International Conference on Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, February, 2011.
  64. Manuel Madera, December 2011.(Computer Engineering) MS Thesis: “A Study of Interconnected Dynamical Systems and Reinforcement Learning in a Multi-agent and Distributed Environment”.
  65. Guiru Gu, Yunfeng Ling, Runyu Liu, Puminun Vasinajindakaw, Xuejun Lu, Carissa S. Jones, Wu-Sheng Shih, Vijaya Kayastha, Nick L. Downing, Xuliang Han, Harish Subbaraman, Dan Pham, Ray T. Chen, Maggie Yihong Chen, Urs Berger and Mike Renn, “All-Printed Thin-film Transistor (TFT) based on Purified Single Walled Carbon Nanotubes (SWCNT) with Linear Response,” Journal of Nanotechnology vol. 2011, Article ID 823680, (2011).
  66. Xuejun Lu and Ray T. Chen, “Polymeric Optical Code-Division Multiple-Access (CDMA) Encoder and Decoder Modules,” special issue: Polymers for Optical Applications, Polymers vol. 3(3), 1554-1564 (2011).
  67. Jarrod Vaillancourt and Xuejun Lu, “A High Operating Temperature (HOT) Middle Wave Infrared (MWIR) Quantum-Dot Photodetector,” Optics and Photonics Letters, Vol. 4, No. 2 (2011) 57–61.
  68. Puminun Vasinajindakaw, Jarrod Vaillancourt, Guiru Gu, Runyu Liu, Yunfeng Ling, and Xuejun Lu, "A Fano-type interference enhanced quantum dot infrared photodetector," Appl. Phys. Lett. Vol. 98, pp. 211111 (2011).
  69. Xuejun Lu and Jarrod Vaillancourt, "Quantitative analysis of carrier activation and redistribution in self-assembled quantum dot (QD) heterostructures using rate equations," Semiconductor Science and Technology, Vol. 26 045013, (2011).
  70. Jarrod Vaillancourt, Puminun Vasinajindakaw, Xuejun Lu, Xifeng Qian, Shivashankar R. Vangala and William D. Goodhue, “Thermo-electrically cooled shortwave infrared and longwave infrared dual-band quantum-dot photodetector,” Proc. SPIE 8012, 80120O (2011).
  71. Guiru Gu, Runyu Liu, Yunfeng Ling, and Xuejun Lu, “Printed CNT transistors with high on-off ratio and linearity,” Proc. SPIE, 8101-11, 2011.
  72. S. Elshoura, March 2011. Ph.D Dissertation Thesis: “Analysis, Design, and Implementation of A New Transparent High Capacity Digital Information Hiding Scheme Via Tchebichef Moments with Application to Homeland Security”
  73. Manan Sanghiv, January 2011. MS Thesis “Accurate Volume Determination of Brain MRIi Images Via A Dynamic-local-Thresholding-based Segmentation Method for Patients with Alzheimer`s Disease”.
  74. Puminun Vasinajindakaw, Xuejun Lu, Xifeng Qian, Shivashankar R. Vangala and William D. Goodhue, “High-operating temperature (HOT) broadband quantum-dot infrared photodetector,” Proc. SPIE 8012, 80122X (2011).
  75. D. B. Megherbi, V. Malaya,” A Hybrid Cognitive/Reactive Intelligent Agent Autonomous Path Planning Technique in a Networked-Distributed Unstructured Environment for Reinforcement Learning,” The Journal of Supercomputing, December 2010. (on-line)
  76. D. B. Megherbi, P. Levesque, “A Distributed Multi-Agent Tracking, awareness, and communication System Architecture for Synchronized Real-Time Situational Understanding, Surveillance, Decision-Making, and Control”, Proceedings IEEE International Conference on Technology for Homeland Security, Waltham , November 2010.
  77. Ian Sebanja, D. B. Megherbi, “Automatic Detection and Recognition of Traffic Road Signs for Intelligent Autonomous Unmanned Vehicles for Urban Surveillance and Rescue”, IEEE International Conference on Technology for Homeland Security, Waltham, November 2010.
  78. D. B. Megherbi, Manuel Madera, “A Hybrid P2P and Master-Slave Architecture for Intelligent Multi-Agent Reinforcement Learning in A Distributed Computing Environment: A Case Study”, IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, Italy, September 2010.
  79. D. B. Megherbi and al, “The MAQC-II Project: A comprehensive study of common practices and validation of micro-array-based predictive models”, Nature Journal of Biotechnology, August 2010 (on-line July 30, 2010).
  80. D. B. Megherbi and al, “A Comparison of Batch Effect Removal Methods for Enhancement of Cross-Batch Prediction Performance Using MAQC-II Microarray Gene Expression Data”, Nature Journal of Pharmaco-genomics, Volume 10, Issue 4, August 2010.
  81. H. S. Al-Dayaa and D. B. Megherbi, “Reinforcement Learning Technique Using Agent State Occurrence Frequency with Analysis of Knowledge Sharing on the Agent’s Learning Process in Multi-Agent Environments”, The Journal of Supercomputing, June 2010. (on-line)
  82. H. S. Al-Dayaa and D. B. Megherbi, “Knowledge Sharing in Multi-Agent Environments with the Distance-and-Frequency Reinforcement Learning Technique”, Proceedings of the International Conference on Artificial Intelligence”, Las Vegas, USA, June 2010.
  83. S. Elshoura, D. B. Megherbi, “A New Rotation Estimation and Recovery Algorithm”, under review, IEEE International Conference on Computers, Communication, and Control Proceedings (3CA), June 2010.
  84. S. Elshoura, D. B. Megherbi, “High Capacity Blind Information Hiding Schemes Using Tchebichef Moments”, IEEE International Conference on Future Computer and Communications (IFCCC), May 2010.
  85. Ian Sebanja, March 2010. MS hesis: “Detection and Recognition of American Road Signs Via Principal Component Analysis.
  86. Kuldeep Goswami, August 2010. MS Thesis “Generalized Distributed Hardware Architecture for Fast Pattern Search in Large Databases”.
  87. Ambarish Roy, Bradley P. Barber, and Kanti Prasad, “Modeling of RF-MEMS BAW Resonator,” International Conference on VLSI Design, Bangalore India, 2010
  88. Ambarish Roy, Bradley P. Barber, Vinay Kulkarni and Kanti Prasad, “Spurious Mode Suppression in Stacked Crystal Filters,” IEEE Long Island Systems, Applications and Technology Conference, Farmingdale, NY, 2010.
  89. Xuejun Lu, Jarrod Vaillancourt, and Hong Wen, “Temperature-dependent energy gap variation in InAs/GaAs quantum dots," Applied Physics Letters 96, 173105 (2010), selected for the May 10, 2010 issue of Virtual Journal of Nanoscale Science & Technology. The Virtual Journal, which is published by the American Institute of Physics and the American Physical Society in cooperation with numerous other societies and publishers, is an edited compilation of links to articles from participating publishers, covering a focused area of frontier research.
  90. Carissa S. Jones, Xuejun Lu, Mike Renn, Mike Stroder and Wu-Sheng Shih, “Aerosol-jet-printed, high-speed, flexible thin-film transistor made using single-walled carbon nanotube solution,” Microelectronic Engineering Volume 87, Issue 3, March 2010, Pages 434-437.
  91. Ambarish Roy, Bradley P. Barber, and Kanti Prasad, “Microwave Filter and Dedicated Sensor-an Integrated Resonator,” student paper in IEEE Sarnoff Symposium, Princeton, NJ, 2010.
  92. Solanki A, Prasad K, Nunan K, Oreilly R, “Comparing process flow of monolithic CMOS-MEMS Integration on SOI wafers with monolithic BiMOS-MEMS integration on Silicon wafer” at IEEE’s conference held at Seattle Aug 2010.
  93. Wen Hong, PuminunVasinajindakaw, Jarrod Vaillancourt, Haiyan Zhang, Guiru Gu, Runyu Liu, Xuejun Lu, Xifeng Qian, Shivashankar R. Vangala and William D. Goodhue, "Multispectral infrared photodetector with carbon nanotube flexible electronic circuits," Proc SPIE vol. 7679-5 (2010).
  94. Jarrod Vaillancourt, Puminun Vasinajindakaw, Wen Hong, Xuejun Lu, Xifeng Qian, Shivashankar R. Vangala and William D. Goodhue, “A LWIR Quantum Dot Infrared Photodetector working at 298K” Proc. SPIE 7608, 760821 (2010).
  95. Dalila B. Megherbi, Yi Miao, “A distributed efficient face image screening and retrieval with disguised and varying expressions”, IEEE International Conference on Technology for Homeland Security, Waltham, May 2009.
  96. Dalila B. Megherbi, Manuel Madera, Dang Long, “Effect of heterogeneous time delays and link weights on the stability and convergence time of large interconnected dynamical systems: A case study”,IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, China, May 2009.
  97. Dalila Megherbi, Radumilo-Franklin, Jelena, “An intelligent multi-agent distributed battlefield via Multi-Token Message Passing”, IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, China, May 2009.
  98. Dalila B. Megherbi, Yi Miao, “A distributed technique for recognition and retrieval of faces with time-varying expressions”, IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, China, May 2009.
  99. Ambarish Roy, Bradley P. Barber, and Kanti Prasad, “Thin Film Solidly Mounted Resonators for RF Devices,” 12th International Symposium on Microwave and Optical Technology, New Delhi, India 2009.
  100. Ambarish Roy, Bradley P. Barber, Vinay S. Kulkarni, and Kanti Prasad, “Material Acoustic Speed and Density Parameter Extraction in Solidly Mounted Resonators,” student paper in IEEE Sarnoff Symposium, Princeton, NJ, 2009.
  101. B. Megherbi, Manual Madera, L. Dang, “On Interconnected Multi-Agent Dynamical Systems with Non-Uniform Heterogeneous Coupling Link Weights”, Proceedings of the IEEE International Conference on Computational Intelligence, Turkey, July 2008
  102. Suzan Al-Shoura, D.B. Megherbi, “Comparative of Zernike and Tchebichef Moments For Image tampering Detection Sensitivity and Watermak Recovery”, Proceedings of the IEEE International Conference on Homeland Security, MA, June 2008.
  103. Suzan Al-Shoura, D.B. Megherbi, “Analysis of Noise Sensitivity and Reconstruction Accuracy for Tchebichef Moments,” Proceedings of IEEE Southeast Conference, Albama, April 2008.”