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Book Chapters

  1.    Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld and Hassan M Fathallah-Shaykh, "Intervention and Control of Gene Regulatory Networks: Theoretical Framework and Application to Human Melanoma Gene Regulation", Statistical Diagnostics for Cancer - Analyzing High-Dimensional Data, Frank Emmert-Streib and Matthias Dehmer (Eds.), Wiley-Blackwell, 2013.  

  2.    Dimah Dera, Fabio Raman, Nidhal Bouaynaya and Hassan M. Fathallah-Shaykh, "Interactive Semi-automated Method Using Non-negative Matrix Factorization and Level Set Segmentation for the BRATS Challenge", Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, A. Crimi, B. Menze, O. Maier, M. Reyes, and H. Handels (Eds.), Springer International Publishing AG, 2017.  

  3.    Asim Waqas, Dimah Dera, Ghulam Rasool, Nidhal Carla Bouaynaya, and Hassan M. Fathallah-Shaykh, "Brain Tumor Segmentation and Surveillance with Deep Artificial Neural Networks", Deep Learning for Biomedical Data Analysis: Techniques, Approaches and Applications, Mourad Elloumi (Eds.), Springer International Publishing AG, 2020.  


Journal Papers

  1.    Dimah Dera, Nidhal C. Bouaynaya, Ghulam Rasool, Roman Shterenberg and Hassan M. Fathallah-Shaykh, “PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural Networks,” IEEE Transactions on Signal Processing, accepted, June 2021.  

  2.    Rouzbeh Nazari, Husam Alfergani, Francis Haas, Maryam E. Karimi, Md Golam Rabbani Fahad, Samain Sabrin, Jess Everett, Nidhal Bouaynaya and Robert W. Peters, “Application of Satellite Remote Sensing in Monitoring Elevated Internal Temperatures of Landfills,” Applied Sciences, September 2020.  

  3.    Ruilong Chen, Lyudmila Mihaylova, Hao Zhu and Nidhal Carla Bouaynaya, “A Deep Learning Framework for Joint Image Restoration and Recognition,” Circuits, Systems, and Signal Processing, vol. 39, pp. 1561-1580, 2020.  

  4.    Daniel E. Cahall, Ghulam Rasool, Nidhal C. Bouaynaya and Hassan M. Fathallah-Shaykh, “Inception Modules Enhance Brain Tumor Segmentation,” Frontiers in Computational Neuroscience, July 2019.   Link to open access article

  5.    Hassan M. Fathallah-Shaykh, Andrew DeAtkine, Elizabeth Coffee, Elias Khayat, Asim Bag, Xiaosi Han, Paula Province Warren, Markus Bredel, John Fiveash, James Markert, Nidhal Bouaynaya and Louis B. Nabors, “Diagnosing growth in low-grade gliomas with and without longitudinal volume measurements: A retrospective observational study ,” PLOS Medicine, vol. 16, no. 5, May 2019.   Link to open access article

  6.    Nesrine Amor, Ghulam Rasool, Nidhal C. Bouaynaya and Roman Shterenberg “Constrained Particle Filtering for Movement Identification in Forearm Prosthesis,” Signal Processing, vol. 161, pp. 25-35, August 2019.   Link to article in ScienceDirect

  7.    Gregory Ditzler, Nidhal Carla Bouaynaya, Roman Shterenberg and Hassan M. Fathallah-Shaykh, “Approximate Kernel Reconstruction for Time-Varying Networks,” BioData Mining, February 2019.   Link to open access article

  8.    Gregory Ditzler, Nidhal Carla Bouaynaya and Roman Shterenberg, “AKRON: An Algorithm for Approximating Sparse Kernel Reconstructions,” Signal Processing, vol. 144, pp. 265-270, March 2018.   Link to article in ScienceDirect

  9.    Nesrine Amor, Nidhal Carla Bou aynaya, Roman Shterenberg and Souad Chebbi, “On the Convergence of Constrained Particle Filters,” IEEE Signal Processing Letters, vol. 24, no. 6, pp. 858-862, June 2017.   Link to article in IEEEXplore

  10.    Belhassen Bayar, Nidhal Bouaynaya and Roman Shterenberg, “SMURC: High-Dimension Small-Sample Multivariate Regression with Covariance Estimation,” IEEE Journal of Biomedical and Health Informatics, vol. 21, issue 2, pp. 573 - 581, March 2017.  

  11.    Dimah Dera, Nidhal Bouaynaya and Hassan M Fathallah-Shaykh, “Automated Robust Image Segmentation: Level Set Method using Non-Negative Matrix Factorization With Application to Brain MRI,” Bulletin of Mathematical Biology, vol.78, issue 7, pp. 1450 - 1476, July 2016.  

  12.    Petia Georgieva, Nidhal Bouaynaya, Filipe Silva, Lyudmila Mihaylova and Lakhmi Jain, “A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources,” IEEE Journal of Biomedical and Health Informatics, vol. 20, issue 3, pp. 880 - 892, May 2016.   Link to article in IEEEXplore Open Access

  13.    Ghulam Rasool, Kamran Iqbal, Nidhal Bouaynaya and Gannon White, “Real-time Task Discrimination for Myoelectric Control Employing Task-Specific Muscle Synergies,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 24, issue 1, pp. 98-108, January 2016.  

  14.    Ghulam Rasool, Nidhal Bouaynaya, Kamran Iqbal and Gannon White, “Surface Myoelectric Signal Classification Using the AR-GARCH Model”, Biomedical Signal Processing & Control , vol. 13, pp. 327-336, September 2014.   Link to article in ScienceDirect

  15.    Jehandad Khan, Nidhal Bouaynaya and Hassan Fathallah-Shaykh, “Tracking of Time-Varying Genomic Regulatory Networks with a LASSO-Kalman Smoother”, EURASIP Journal on Bioinformatics and Systems Biology , vol. 2014, issue 1, February 2014.   Download Data and Code

  16.    Belhassen Bayar, Nidhal Bouaynaya and Roman Shterenberg, “Probabilistic Non-negative Matrix Factorization: Theory and Application to Microarray Data Analysis”, Journal of Bioinformatics and Computational Biology, vol. 12, issue 1, February 2014.   Link to article in World Scientific

  17.    Yasir Rahmatallah, Nidhal Bouaynaya and Seshadri Mohan, “Bit Error Rate Performance of Companding Transforms for OFDM”, IEEE Transactions on Vehicular Technology, vol. 62, no. 8, pp. 4116 - 4120, October 2013.  

  18.    Nidhal Bouaynaya, Roman Shterenberg and Dan Schonfeld, “Optimal Perturbation Control of General Topology Molecular Networks”, IEEE Transactions on Signal Processing, vol. 61, no. 7, pp. 1733-1742, April 2013.   Download Data and Code

  19.    Nidhal Bouaynaya, Roman Shterenberg and Dan Schonfeld, “Methods for Optimal Intervention in Gene Regulatory Networks”, IEEE Signal Processing Magazine, vol. 29, no.1, pp. 158 - 163, January 2012.  

  20.   N. Bouaynaya, M. Charif-Chefchaouni, and D. Schonfeld, “M-Idempotent and Self-Dual Morphological Filters”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 4, pp. 805-813, April 2012.   (Supplemental material )

  21.    T. A. Elwi, H. M. Al-Rizzo, N. Bouaynaya, M. M. Hammood, and Y. Al-Naiemy, “ Theory of gain enhancement of uc-PBG antenna structures without invoking Maxwell's equations: an array signal processing approach”, Progress In Electromagnetics Research B, vol.34, pp.15-30, 2011.  

  22.   N. Bouaynaya, R. Shterenberg and D. Schonfeld, “Inverse Perturbation for Optimal Intervention in Gene Regulatory Networks”, Bioinformatics, vol. 27, no.1, pp. 103-110, 2011. Download supplemental file

  23.   L. Gong, N. Bouaynaya and D. Schonfeld, “Information-Theoretic Model of Evolution over Protein Communication Channel”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 8, no. 1, pp. 143 - 151, 2011.  

  24.   N. Bouaynaya and D. Schonfeld, “On the Optimality of Motion-Based Particle Filtering”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no.7, pp. 1068 – 1073, 2009.  

  25.    N. Bouaynaya and D. Schonfeld, “Non-stationary Analysis of Coding and Non-coding Regions in Nucleotide Sequences”, IEEE Journal of Selected Topics in Signal Processing, vol. 2, no. 3, pp. 357 - 364, June 2008.  

  26.    N. Bouaynaya, M. Charif-Chefchaouni and D. Schonfeld, “Theoretical Foundations of Spatially-Variant Mathematical Morphology Part I: Binary Images”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 5, May 2008.  

  27.    N. Bouaynaya and D. Schonfeld, “Theoretical Foundations of Spatially-Variant Mathematical Morphology Part II: Gray-Level Images”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 5, May 2008.  

  28.    N. Bouaynaya and D Schonfeld, “ Protein Communication System: Evolution and Genomic Structure”, Algorithmica, vol. 48, no. 4, pp. 375–397, August 2007.    

  29.    N. Bouaynaya, M. Charif-Chefchaouni and D. Schonfeld, “Spatially-Variant Morphological Restoration and Skeleton Representation” , IEEE Transactions on Image Processing, vol. 15, no. 11, pp. 3579-3591, November 2006.  

  30.    D. Schonfeld and N. Bouaynaya, “A New Method for Multidimensional Optimization and Its Application in Image and Video Processing”, IEEE Signal Processing Letters, vol. 13, no. 8, August 2006.  

  31.    N. Bouaynaya and D. Schonfeld, “Motion-based particle filtering for head tracking applications”, Electronic Imaging Newsletter, vol. 15, no. 2, pp. 8, June 2005. (Invited Paper)  

 

Conference Papers

  1.    David Specht, Ghulam Rasool, Nidhal Bouaynaya and Charles C. Johnson “Intelligent Helipad Detection from Satellite Imagery”, in The Vertical Flight Society's 76th Annual Forum & Technology Display, May 2021.  

  2.    Hikmat Khan, Ghulam Rasool, Nidhal Carla Bouaynaya, Tyler Travis, Lacey Thompson and Charles C. Johnson “Deep Ensemble for Rotorcraft Attitude Prediction”, in The Vertical Flight Society's 76th Annual Forum & Technology Display, May 2021.  

  3.    Hikmat Khan, Ghulam Rasool, Nidhal Carla Bouaynaya, Tyler Travis, Lacey Thompson and Charles C. Johnson “Explainable AI: Rotorcraft Attitude Prediction”, in The Vertical Flight Society's 76th Annual Forum & Technology Display, October 2020.  

  4.    Eric Feuerstein, Ghulam Rasool, Nidhal Carla Bouaynaya, Ravi Ramachandran and Charles C. Johnson “Artificial Intelligence for Helicopter Safety: Head-Pose Estimation in the Cockpit”, in The Vertical Flight Society's 76th Annual Forum & Technology Display, October 2020.  

  5.    Giuseppina Carannante, Dimah Dera, Ghulam Rasool and Nidhal C. Bouaynaya “Self-Compression in Bayesian Neural Networks”, in the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2020), Espoo, Finland, September 2020.

  6.    Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya and Lyudmila Mihaylova “Robust Learning via Ensemble Density Propagation in Deep Neural Networks”, in the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2020), Espoo, Finland, September 2020.

  7.    Peng Wang, Renke He, Qibin Zhang, Jikai Wang, Lyudmila Mihaylova and Nidhal C. Bouaynaya “Bayesian Neural Networks Uncertainty Quantification with Cubature Rules”, in the International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, UK, July 2020.

  8.    Shamoon Siddiqui, Ghulam Rasool, Ravi Ramachandran and Nidhal Bouaynaya “Evaluating Speech Enhancement Methods through Deep Speech Recognition”, in the International Joint Conference on Neural Networks (IJCNN 2020), Glasgow, UK, July 2020.

  9.    Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Adam Eicheny, Stephen Shankoy, Jeff Cammeratay and Sanipa Arnold “Bayes-SAR Net: Robust SAR Image Classification with Uncertainty Estimation Using Bayesian Convolutional Neural Network”, in IEEE International Radar Conference, Washington, DC, April 2020.

  10.    Dimah Dera, Ghulam Rasool and Nidhal Bouaynaya “Extended Variational Inference for Propagating Uncertainty in Convolutional Neural Networks ”, in IEEE International Workshop on Machine Learning for Signal Processing, Pittsburgh, PA, October 2019. (Best Student Paper Award at MLSP'19).

  11.    James A. Ritchie III, Andrew J. Fabian, Nidhal C. Bouaynaya and Mike M. Paglione “EnAcT: Generating Aircraft Encounters using a Spherical Earth Model”, in Air Traffic Management Research and Development (ATM R&D) Seminar, Vienna, Austria, June 2019.  

  12.    Hikmat Khan, Ghulam Rasool, Nidhal Carla Bouaynaya and Charles C. Johnson “Rotorcraft Flight Information Inference from Cockpit Videos using Deep Learning”, in The Vertical Flight Society's 75th Annual Forum & Technology Display, Philadelphia, PA, May 2019.   Link to article

  13.    Ravi P. Ramachandran, Kevin D. Dahm and Nidhal C. Bouaynaya “Introducing Undergraduates to Pattern Recognition and Machine Learning Through Speech Processing”, in the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019.  

  14.    Kevin D. Dahm, Ravi P. Ramachandran and Nidhal C. Bouaynaya “Use of Big Data Analytics in a First Year Engineering Project”, in the ASEE Annual Conference and Exhibition, NSF Grantees Poster Session, Tampa, Florida, June 2019.  

  15.    Nesrine Amor, Ghulam Rasool, Nidhal C. Bouaynaya and Roman Shterenberg “Hand Movement Discrimination Using Particle Filters”, in the IEEE Signal Processing in Medicine and Biology Symposium, Philadelphia, December 2018.  

  16.    Jiashu Guo, Zhengzhong Liang, Gregory Ditzler, Nidhal Bouaynaya and Hassan M. Fathallah-Shaykh, “Nonlinear Brain Tumor Model Estimation with Long Short-Term Memory Neural Networks ”, in the International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, July 2018.  

  17.    Oliver Palumbo, Dimah Dera, Nidhal Bouaynaya and Hassan M. Fathallah-Shaykh, “Inverted Cone Convolutional Neural Network for Deboning MRIs ”, in the International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, July 2018.  

  18.    Kevin D. Dahm, Ravi P. Ramachandran and Nidhal C. Bouaynaya “Enhancing Core Chemical Engineering Courses with Computationally-Intense Course Modules”, in the ASEE Annual Conference and Exposition, NSF Grantees Poster Session, Salt Lake City, Utah, June 2018.   Link to ASEE site

  19.    Victor Carluccio, Nidhal Bouaynaya, Gregory Ditzler and Hassan M. Fathallah-Shaykh, “The AKRON-Kalman Filter for Tracking Time-Varying Networks”, in the International Conference on Biomedical and Health Informatics (BHI), Orlando, Florida, February 2017.  

  20.    P. A. Awolumate, M. Rudy, R. P. Ramachandran, N. C. Bouaynaya, K. D. Dahm, R. Nazari and U. Thayasivam “A Pattern Recognition Approach to Signal to Noise Ratio Estimation of Speech”, in the ASEE Annual Conference and Exposition, NSF Grantees Poster Session, Columbus, Ohio, June 2017.   Link to ASEE site

  21.    Nesrine Amor, Nidhal Bouaynaya, Petia Georgieva, Roman Shterenberg and Souad Chebbi, “EEG Dynamic Source Localization using Constrained Particle Filtering”, in the IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), Athens, Greece, December 2016.  

  22.    Nicholas DeCicco, Kristine Napolitano, Russell Trafford, Petia Georgieva, Nidhal Bouaynaya and Robi Polikar “Circular Path Autopilot Navigation System”, in the International Conference on Control Engineering &Information Technology (CEIT-2016), Hammamet, Tunisia, December 2016.  

  23.    Kane Heaning, Saad Sohail, William Kerbel, Russell Trafford, Petia Georgieva, Nidhal Bouaynaya and Robi Polikar “Dual Axis Solar Panel Control System”, in the International Conference on Control Engineering &Information Technology (CEIT-2016), Hammamet, Tunisia, December 2016.  

  24.    Dimah Dera, Nidhal Bouaynaya, Robi Polikar, and Hassan M. Fathallah-Shaykh “Non-Negative Matrix Factorization for Non-Parametric and Unsupervised Image Clustering and Segmentation”, in the International Joint Conference on Neural Networks (IJCNN 2016), Vancouver, Canada, July 2016.  

  25.    Bradley Ebinger, Nidhal Bouaynaya, Petia Georgieva and Lyudmila Mihaylova “EEG Dynamic Source Localization using Marginalized Particle Filtering”, in the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2015), Washington D.C., November 2015.  

  26.    Dimah Dera, Nidhal Bouaynaya and Hassan M Fathallah-Shaykh “Level Set Segmentation using Non-Negative Matrix Factorization of Brain MRI Images”, in the IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2015), Washington D.C., November 2015. (Runner-up Best Paper Award)  

  27.    Bradley Ebinger, Nidhal Bouaynaya, Roman Shterenberg and Robi Polikar “Constrained State Estimation In Particle Filters”, in the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), Brisbane, Australia, April 2015.  

  28.    Belhassen Bayar, Nidhal Bouaynaya and Roman Shterenberg “ Kernel Reconstruction: an Exact Greedy Algorithm for Compressive Sensing”, in the IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2014), Atlanta, Georgia, December 2014.  

  29.    Jehandad Khan, Nidhal Bouaynaya and Robi Polikar “Optimal Bayesian Classification in Nonstationary Streaming Environments”, in the International Joint Conference on Neural Networks (IJCNN 2014), Beijing, China, July 2014, pp. 609-616.  

  30.    Petia Georgiva, Filipe Silva, Lyudmila Mihaylova and Nidhal Bouaynaya “Statistical Approach for Reconstruction of Dynamic Brain Dipoles based on EEG Data ”, in the International Joint Conference on Neural Networks (IJCNN 2014), Beijing, China, July 2014, pp. 2592-2599.  

  31.    Petia Georgiva, Filipe Silva, Nidhal Bouaynaya and Lyudmila Mihaylova “Bayesian Tracking and Multi-Core Beamforming for Estimation of Correlated Brain Sources ”, in the Data Fusion & Target Tracking Conference, Liverpool, UK, February 2014.  

  32.    Belhassen Bayar, Nidhal Bouaynaya and Roman Shterenberg “ Inference of Genetic Regulatory Networks with Unknown Covariance Structure ”, in the IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2013), Houston, Texas, November 2013, pp. 74-77 (Best Paper Award at GENSIPS'13).  

  33.    Ghulam Rasool, Kamran Iqbal, Nidhal Bouaynaya and Gannon White “ Neural Drive Estimation Using the Hypothesis of Muscle Synergies and the State-Constrained Kalman Filter ”, in the International IEEE EMBS Neural Engineering Conference, San Diego, California, November 2013, pp. 802-805.  

  34.    Jehandad Khan, Nidhal Bouaynaya and Hassan Fathallah-Shaykh “Compressive Kalman Filtering for Recovering Temporally-Rewiring Genetic Networks”, in the European Signal Processing Conference, Marrakesh, Morocco, September 2013, pp. 1-5.  

  35.    Mohammed Mohammed-Rasheed, Nidhal Bouaynaya and Hassan Fathallah-Shaykh “A Combined Constraint Approach for Inference of Sparse Large-Scale Biomolecular Networks”, in the International Conference on Control, Engineering & Information Technology, vol.1, June 2013, Sousse, Tunisia, pp. 38-42.  

  36.    Petia Georgieva1, Nidhal Bouaynaya, Lyudmila Mihaylova, and Filipe Silva “Bayesian Approach for Reconstruction of Moving Brain Dipoles”, in the International Conference on Image Analysis and Recognition, Póvoa de Varzim, Portugal, June 2013.  

  37.    Haoyu Wang, Nidhal Bouaynaya, Roman Shterenberg and Dan Schonfeld “Sparse Biologically-Constrained Optimal Perturbation of Gene Regulatory Networks”, in The International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 2013.  

  38.    Ghulam Rasool and Nidhal Bouaynaya “Inference of Time-Varying Gene Networks using Constrained and Smoothed Kalman Filtering”, in IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), Washington, DC, December 2012.  

  39.    Ghulam Rasool, Nidhal Bouaynaya, Hassan Fathallah-Shaykh and Dan Schonfeld "Inference of Genetic Regulatory Networks Using Regularized Likelihood with Covariance Estimation", in IEEE Statistical Signal Processing Workshop (SSP), Ann Arbor, August 2012, pp. 560-563. (Invited Paper).  

  40.    Ghulam Rasool, Nidhal Bouaynaya and Kamran Iqbal, "Muscle Activity Detection From Myoelectric Signals Based on the AR-GARCH Model", in IEEE Statistical Signal Processing Workshop (SSP), Ann Arbor, August 2012.  

  41.    Petia Petia Georgieva, Lyudmila Mihaylova, Nidhal Bouaynaya and Lakhmi Jain "Particle Filters and Beamforming for EEG Source Estimation", in IEEE World Congress on Computational Intelligence, International Joint Conference on Neural Networks, Australia, June 2012.  

  42.    Jerzy S. Zielinski, Agnieszka K. Zielinska and Nidhal Bouaynaya "Three-dimensional Morphology Quantification of Biofilm Structures from Confocal Laser Scanning Microscopy Images", in International Conference on Industrial and Intelligent Information, Singapore, March 2012.  

  43.    Aaron Koch, Nidhal Bouaynaya, and Roman Shterenberg "An Encryption Algorithm based on the Prime Roots of Unity", in International Conference on Industrial and Intelligent Information, Singapore, March 2012.  

  44.    Hacer Varol, Nidhal Bouaynaya, and William O’Neill "Breast Cancer Detection Using Communications Technology", in International Conference on Industrial and Intelligent Information, Singapore, March 2012.  

     

  45.    Nidhal Bouaynaya, Mohammad Rasheed, Roman Shterenberg, and Dan Schonfeld "Intervention in General Topology Gene Regulatory Networks", in IEEE International Workshop on Genomic Signal Processing and Statistics, San Antonio, Texas, December 2011.  

  46.    Belhassen Bayar, Nidhal Bouaynaya and Roman Shterenberg "Clustering Gene Expression Data using Probabilistic Non-negative Matrix Factorization", in IEEE International Workshop on Genomic Signal Processing and Statistics, San Antonio, Texas, December 2011.  

  47.    Yasir Rahmatallah, Nidhal Bouaynaya and Seshadri Mohan "Bit Error Rate Performance of Linear Companding Transforms for PAPR Reduction in OFDM Systems", in IEEE Global Communications Conference (GLOBECOM 2011), Houston, Texas, December 2011.  

  48.    Nidhal Bouaynaya, Roman Shterenberg and Dan Schonfeld "Robustness of Inverse Perturbation for Discrete Event Control", in IEEE International Conference of the Engineering in Medicine and Biology Society (EMBC'11) , Boston, MA, August 2011.  

  49.    Yasir Rahmatallah, Nidhal Bouaynaya and Seshadri Mohan "On the Performance of Linear and Nonlinear Companding Transforms in OFDM Systems", in Wireless Telecommunications Symposium (WTS 2011) , New York City, New York, April 2011.  

  50.    Jerzy S. Zielinski, Agnieszka K. Zielinska, Nidhal Bouaynaya and Mark S. Smeltzer "Automated Biofilm Region Recognition And Morphology Quantification From Confocal Laser Scanning Microscopy Imaging", in Biomedical Science and Engineering Conference - Image Informatics and Analytics in Biomedicine (BSEC 2011), Knoxville, Tennessee, March 2011.  

  51.    Nidhal Bouaynaya, Roman Shterenberg and Dan Schonfeld "Optimal Perturbation Control Of Gene Regulatory Networks", in IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS'10), New York, NY, November 2010.  

  52.    Jerzy Zielinski and Nidhal Bouaynaya "Statistical Sequential Analysis for Detection of Microcalcifications in Digital Mammograms", in IEEE International Conference On Signal Processing And Communications, Bangalore, India, July 2010.  

  53.    Jerzy Zielinski, Nidhal Bouaynaya and Dan Schonfeld "Two-Dimensional ARMA Modeling for Breast Cancer Detection and Classification", in IEEE International Conference On Signal Processing And Communications, Bangalore, India, July 2010.  

  54.    Ahmad AbdulSadda, Nidhal Bouaynaya and Kamran Iqbal "Noninvasive Breast Tumor Localization Based on Ultrawideband Microwave Backscatter", in IEEE International Conference On Signal Processing And Communications, Bangalore, India, July 2010.  

  55.    Yasir Rahmatallah, Nidhal Bouaynaya and Seshadri Mohan "ARMA Companding Scheme With Improved Symbol Error Rate For PAPR Reduction in OFDM Systems", in Wireless Telecommunications Symposium, Tampa, Florida, April 2010.  

  56.    Yupo Chan, Nidhal Bouaynaya, Parimal Chowdhury, Danuta Leszczynska, Tucker A. Patterson, and Olga Ta "Predictive Models Of Cognitive Outcomes Of Developmental Insults", in BioNanoTox Conference, Little Rock, November 2009.  

  57.    Nidhal Bouaynaya and Dan Schonfeld "Adaptive Mathematical Morphology: A Unified Representation Theory", in IEEE International Conference on Image processing (ICIP'09), Cairo, Egypt, November 2009. (Invited Paper)  

  58.    Ahmed Abdulsadda, Nidhal Bouaynaya, and Kamran Iqbal, "Stability Analysis and Breast Tumor Classification from 2D ARMA Models of Ultrasound Images", in IEEE International Conference of the Engineering in Medicine and Biology Society (EMBC'09), Minneapolis, Minnesota, September 2009.  

  59.    Nidhal Bouaynaya, Dan Schonfeld and Radhakrishnan Nagarajan, "Analysis of Temporal Gene Expression profiles using Time-Dependent MUSIC Algorithm", in IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS'09), Minneapolis, Minnesota, May 2009, pp. 1-4.  

  60.    Jerzy S Zielinski, Nidhal Bouaynaya, Dan Schonfeld and William O'Neill, "Time-Dependent ARMA Modelling of Genomic Sequences",in Proceedings of BMC Bioinformatics, vol. 9, Suppl. 9, 2008.  

  61.    N. Bouaynaya and D. Schonfeld, "Emergence of New Structure from Non-Stationary Analysis of Genomic Sequences", in IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS'08), Phoenix, June 2008, pp. 1-4.  

  62.    N. Bouaynaya and D. Schonfeld, "Non-Stationary Analysis of Genomic Sequences" , in IEEE Statistical Signal Processing Workshop, Madison, WI, August 2007, pp. 200-204.  

  63.    L. Gong, N. Bouaynaya and D. Schonfeld, "Information-Theoretic Bounds of Evolutionary Processes Modeled as a Protein Communication System" , in IEEE Statistical Signal Processing Workshop , Madison, WI, August 2007, pp. 1-5. (Invited Paper)  

  64.    N. Bouaynaya and D. Schonfeld, "The Genomic Structure: Proof of the Role of Non-Coding DNA", in IEEE International Conference of the Engineering in Medicine and Biology Society (EMBC'06), New York City, August 2006, pp. 4544-4547.  

  65.    N. Bouaynaya and D. Schonfeld, "Biological Evolution: Distribution and Convergence Analysis of Amino Acids", in IEEE International Conference of the Engineering in Medicine and Biology Society (EMBC'06), New York City, August 2006, pp. 2045 - 2048.  

  66.    N. Bouaynaya and D. Schonfeld, "Analysis of Protein Evolution as a Communication System", in IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS'06), College Station, TX, May 2006, pp. 23-24.  

  67.    N. Bouaynaya and D. Schonfeld, "Active Surfaces for Video Tracking and 3-D Segmentation Based on a New Method for Multidimensional Optimization", in Visual Communications and Image Processing (VCIP'06), vol. 6077, San Jose, CA, January 2006.  

  68.    N. Bouaynaya and D. Schonfeld, "Spatially-Variant morphological image processing: theory and applications", in Proceedings of SPIE Visual Communications and Image Processing (VCIP'06), vol. 6077, San Jose, CA, January 2006. (Best Student Paper Award).  

  69.    N. Bouaynaya and D. Schonfeld, "Complete system for head tracking using motion-based particle filter and randomly perturbed active contour", in Proceedings of SPIE, Image and Video Communications and Processing (IVCP'05), vol. 5685, San Jose, CA, March 2005, pp. 864-873. (Finalist for Best Student Paper Award).  

  70.    N. Bouaynaya, W. Qu and D. Schonfeld, "An Online Motion-Based Particle Filter for Head Tracking Applications", in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'05), vol. 2, Philadelphia, PA, March 2005, pp. 225-228.  

  71.    W. Qu, N. Bouaynaya and D. Schonfeld, "Automatic Multi-Head Detection and Tracking System using A Novel Detection-Based Particle Filter and Data Fusion", in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'05), vol. 2, Philadelphia, PA, March 2005, pp. 661-664.



    72. Doctoral Thesis Dissertation

    Nidhal Bouaynaya, "Analysis of Proteomics and Genomics Based on Signal Processing and Communication Theory", University of Illinois at Chicago, May 2007.