Miad Faezipour

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Associate Professor of Computer Science and Engineering
and Biomedical Engineering
University of Bridgeport

Publications
 

Journal Papers [View and download articles from ResearchGate]

  • M. Faezipour and M. Faezipour, "Efficacy of Smart EEG Monitoring Amidst the COVID-19 Pandemic",  Electronics, Special Section of Bioelectronics, Vol. 10, No. 9, 1001, pp. 1-10 , Apr. 2021. [PDF]
  • M. Wasimuddin, K. Elleithy, A. Abuzneid, M. Faezipour, and O. Abuzaghleh, "Multiclass ECG Signal Analysis Using Global Average-Based 2-D Convolutional Neural Network Modeling",   Electronics, Special Issue on Biomedical Signal Processing, Vol. 10, No. 2, 170, pp. 1-29, Jan. 2021. [PDF] FEATURE PAPER
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  • T. F. Arciuolo and M. Faezipour, "PID++: A Computationally Lightweight Humanoid Motion Control Algorithm",  Sensors, Special Issue on Smart Robotics for Automation, Vol. 21, No. 2, 456, pp. 1-25, Jan. 2021. [Link] [PDF]
  • M. Faezipour and A. Abuzneid, "Smartphone Based Self-Testing of COVID-19 Using Breathing Sounds",  Telemedicine and e-Health Journal, Vol. 26, No. 10, pp. 1202-1205, DOI: 10.1089/tmj.2020.0114, Oct. 2020. [Link]
  • M. Wasimuddin, K. Elleithy, A. Abuzneid, M. Faezipour, and O. Abuzaghleh, "Stages-Based ECG Signal Analysis from Traditional Signal Processing to Machine Learning Approaches: A Survey",   IEEE Access, Vol. 8, DOI: 10.1109/ACCESS.2020.3026968, pp. 177782-177803, Sep. 2020. [PDF]
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  • M. Faezipour and M. Faezipour, "System Dynamics Modeling for Smartphone Based Healthcare Tools: Case Study on ECG Monitoring",   IEEE Systems Journal, DOI: 10.1109/JSYST.2020.3009187, July 2020.
  • M. Faezipour and M. Faezipour, "Sustainable Smartphone-Based Healthcare Systems: A Systems Engineering Approach to Assess the Efficacy of Respiratory Monitoring Apps",  Sustainability, Special Issue in Global Health Policy, Health Services and System, and E-health, Vol. 12, No. 12, 5061, pp. 1-18, Jun. 2020. [PDF]
  • H. Musafer, A. Abuzneid, M. Faezipour and A. Mahmood, "An Enhanced Design of Sparse Autoencoder for Latent Features Extraction Based on Trigonometric Simplexes for Network Intrusion Detection Systems",  Electronics, Special Issue in Machine Learning Techniques for Intelligent Intrusion Detection Systems, Vol. 9, No. 2, 259, pp. 1-12, Feb. 2020. [PDF] FEATURE PAPER
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  • M. Aloudat, M. Faezipour and A. El-Sayed, "Automated Vision-Based High Intraocular Pressure Detection Using Frontal Eye Images",   IEEE Journal on Translational Engineering in Health and Medicine (IEEE J-TEHM), Vol. 7, No. 1, Article No. 3800113, pp. 1-13, 2019. [PDF] [Link]
  • A. Alessa and M. Faezipour, "Preliminary Flu Outbreak Prediction Using Twitter Posts Classification and Linear Regression With Historical Centers for Disease Control and Prevention Reports: Prediction Framework Study",   JMIR Public Health and Surveillance, Vol. 5, No. 2, e12383, Jun. 2019. [PDF] [Link]
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  • R. Abdulhammed, H. Musafer, A. Alessa, M. Faezipour and A. Abuzneid, "Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection",   Electronics, Vol. 8, No. 3, 322, pp. 1-27, Mar. 2019. [PDF]
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  • R. Abdulhammed, M. Faezipour, A. Abuzneid and A. AbuMallouh, "Deep and Machine Learning Approaches for Anomaly-Based Intrusion Detection of Imbalanced Network Traffic",   IEEE Sensors Letters, Special Issue on Multimodal Data Fusion, Vol. 3, No. 1, pp. 1-4, Jan. 2019. RANKED TOP #2 MOST ACCESSED ARTICLES IN FEBRUARY 2019.
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  • M. Al-Oudat, M. Faezipour and A. El-Sayed, "A Smart Intraocular Pressure Risk Assessment Framework Using Frontal Eye Image Analysis",   EURASIP Journal on Image and Video Processing, 2018: 90, Springer, pp. 1-15, Dec. 2018. [PDF]
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  • M. Daneshzand, M. Faezipour and B. D. Barkana, "Robust desynchronization of Parkinson's Disease pathological oscillations by frequency modulation of delayed feedback deep brain stimulation",   PLoS One, Vol. 13, No. 11, pp. 1-22, Nov. 2018. [PDF]
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  • M. Daneshzand, M. Faezipour and B. D. Barkana, "Towards Frequency Adaptation for Delayed Feedback Deep Brain Stimulations",   Neural Regeneration Research Journal, Vol. 13, No. 3, Mar. 2018. [PDF]
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  • A. Alessa and M. Faezipour, "A Review of Influenza Detection and Prediction through Social Networking Sites",   BioMed Central Theoretical Biology and Medical Modeling Journal, Vol. 15, No. 2, pp. 1-27, Feb. 2018. [PDF]
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  • M. Daneshzand, M. Faezipour and B. D. Barkana, "Hyperbolic Modeling of Subthalamic Nucleus Cells to Investigate the Effect of Dopamine Depletion",   Compuational Intelligence and Neuroscience, 2017. [PDF]
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  • M. Daneshzand, M. Faezipour and B. D. Barkana, "Computational Stimulation of the Basal Ganglia Neurons with Cost Effective Delayed Gaussian Waveforms", in Frontiers in Computational Neuroscience, Vol. 11, No. 73, pp. 1-16, Aug. 2017. [PDF]
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  • D. Alhelal and M. Faezipour, "Denoising and Beat Detection of ECG Signal by Using FPGA", in International Journal of High Speed Electronics and Systems, Vol. 26, No. 3, 1740016, 2017.
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  • K. A. I. Aboalayon, M. Faezipour, W. S. Almuhammadi and S. Moslehpour, "Sleep Stage Classification Using EEG Signal Analysis: A Comprehensive Survey and New Investigation", in Entropy Journal, Special Issue in Entropy and Electroencephalography II, Vol. 18, No. 9, 272, pp. 1-31, Aug. 2016. [PDF]
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  • L. Almazaydeh, K. Elleithy and M. Faezipour, "A Highly Reliable and Fully Automated Classification System for Sleep Apnea Detection", in International Journal of Intelligent Systems and Applications in Engineering, Vol. 4, No. 3, pp. 66-70, 2016.
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  • L. Almazaydeh, K. Elleithy, M. Faezipour and H. Ocbagabir, "SVM-Based Sleep Apnea Identification Using Optimal RR-Interval Features of the ECG Signal", in International Journal of Intelligent Systems and Applications in Engineering, Vol. 4, No. 1, pp. 1-4, 2016.
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  • O. Abuzaghleh, B. D. Barkana and M. Faezipour, "Noninvasive Real-Time Automated Skin Lesion Analysis System for Melanoma Early Detection and Prevention", in IEEE Journal on Translational Engineering in Health and Medicine (IEEE J-TEHM), Vol. 3, No. 4300212, pp. 1-12, Apr. 2015. RANKED TOP #3 MOST ACCESSED ARTICLES IN MARCH 2017. [PDF] [Link]
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  • A. Abuzneid, T. M. Sobh, M. Faezipour, A. Mahmood and J. James, "Fortified Anonymous Communication Protocol for Location Privacy in WSN: A Modular Approach", in Sensors Journal, Vol. 15, pp. 5821-58642, Mar. 2015. [PDF]
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  • M. Al Oudat and M. Faezipour, "A Survey of Image Retrieval Techniques for Search Engine", in International Journal of Scientific & Engineering Research, Vol. 6, No. 7, pp. 1868-1888, 2015.
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  • A. Abuzneid, T. M. Sobh and M. Faezipour, "An Enhanced Communication Protocol for Location Privacy in WSN", in International Journal of Distributed Sensor Networks, Vol. 2015, pp. 1-15, Mar. 2015.
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  • O. Abuzaghleh, M. Faezipour and B. D. Barkana, "SkinCure: An Innovative Smart Phone Based Application to Assist in Melanoma Early Detection and Prevention", in Signal & Image Processing: An International Journal (SIPIJ) Vol. 5, No.6, pp. 1-15, Dec. 2014.
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  • A. Abushakra and M. Faezipour, "A Novel Lung Capacity Model to Virtually Aid in Breath Regulation", in International Journal of High Speed Electronics and Systems, Vol. 23, No. 1, pp. 1450011-1-1450011-10, May 2014.
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  • A. Abushakra and M. Faezipour, "Augmenting Breath Regulation Using a Mobile Driven Virtual Reality Therapy Framework", in IEEE Journal of Biomedical and Health Informatics, Vol. 18, No. 3, pp. 746-752, May 2014.
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  • A. Al-Rahayfeh and M. Faezipour, "Eye Tracking and Head Movement Detection: A State-of-Art Survey", in IEEE Journal on Translational Engineering in Health and Medicine, Vol. 1, pp. 1-12, Nov. 2013. RANKED TOP #1 MOST ACCESSED ARTICLES IN APRIL 2019 and MARCH 2017. [PDF] [Link]
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  • A. Abushakra and M. Faezipour, "Acoustic Signal Classification of Breathing Movements to Virtually Aid Breath Regulation", in IEEE Transactions on Information Technology in BioMedicine (TITB) also newly named as IEEE Journal of Biomedical Health Informatics, Vol. 17, No. 2, pp. 493-500, March 2013.
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  • S. Ostadabbas, R. Yousefi, M. Nourani, M. Faezipour, L. Tamil and M. Pompeo, "A Resource-Efficient Planning for Pressure Ulcer Prevention", in  IEEE Transactions on Information Technology in BioMedicine (TITB), Vol.16, No. 6, pp. 1265-1273, Nov. 2012.
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  • L. Almazaydeh, M. Faezipour and K. Elleithy, "A Neural Network System for Detection of Obstructive Sleep Apnea Through SpO2 Signal Features", in International Journal of Advanced Computer Science and Applications (IJACSA), vol. 3, no.5, pp. 7-11, June 2012.
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  • M. Faezipour, M. Nourani, A. Saeed and S. Addepalli, "Progress and Challenges in Intelligent Vehicle-Area-Networks", in Communications of the ACM, vol. 55, no. 2, pp. 90-100, Feb. 2012.
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  • S. C. Bulusu, M. Faezipour, V. Ng, S. Banerjee, M. Nourani and L. S. Tamil, "Early Detection of Myocardial Ischemia Using Transient ST-Segment Episode Analysis of ECG", in International Journal of Medical Implants and Devices, vol. 5, no. 2, pp. 113, Apr.-May 2011.
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  • R. Yousefi, S. Ostadabbas, M. Faezipour, M. Nourani, L. Tamil and M. Pompeo, "Posture and Limb Detection for Pressure Ulcer Prevention", in International Journal of Medical Implants and Devices, vol. 5, no. 2, pp. 77, Apr.-May 2011.
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  • M. Faezipour, A. Saeed, S. C. Bulusu, M. Nourani, H. Minn and L. S. Tamil, "A Patient-Adaptive Profiling Scheme for ECG Beat Classification", in IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 5, pp. 1153-1165, Sep. 2010. RANKED TOP 10 ACCESSED ARTICLES IN DECEMBER 2010.
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  • M. Faezipour, M. Nourani and R. Panigrahy, "A Hardware Platform for Efficient Worm Outbreak Detection", in ACM Transactions on Design Automation of Electronic Systems, pp. vol. 14, no. 4, article 49, pp. 49-67, Aug. 2009.
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  • A. Saeed, M. Faezipour, M. Nourani, S. Banerjee, G. Lee, G, Gupta, L. S. Tamil, "A Scalable Wireless Body Area Network for Bio-Telemetry", in Journal of Information Processing Systems (JIPS), vol. 5, no. 2, pp. 77-86, Jun. 2009.
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  • M. Faezipour and M. Nourani, "Wire-Speed TCAM-Based Architectures for Multi-Match Packet Classification", in IEEE Transactions on Computers, vol. 58, no. 1, pp. 5-17, Jan. 2009.

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    Conference Papers

  • T. F. Arciuolo, M. Faezipour, S. Patel and X. Xiong, "Robotic End Effector for Lunar and Martian Geological Space Exploration: Design for Interchangeability", accepted (to appear), IEEE International Conference on Robotics and Automation Sciences (ICRAS'21), 2021.
  • B. Z. Barkana, D. A. Barkana, and M. Faezipour, "Image-Based Determination of the Growth or Shrinkage of Wounds at the Dermal Layer", accepted (to appear) in Proceedings of the IEEE International Conference on Computational Science and Computational Intelligence - Special Track: International Symposium on Signal & Image Processing, Computer Vision & Pattern Recognition IEEE CSCI-ISPC, Dec. 2020.
  • T. F. Arciuolo and M. Faezipour, "Dynamically Adjustable PID for Adaptive Motion Control: PID++ Algorithm Introduction and Applications", accepted (to appear) in Proceedings of the IEEE International Conference on Computational Science and Computational Intelligence IEEE CSCI 2020, Dec. 2020.
  • A. Attia, M. Faezipour and A. Abuzneid, "Network Intrusion Detection with XGBoost and Deep Learning Algorithms: An Evaluation Study", accepted (to appear) in Proceedings of the IEEE International Conference on Computational Science and Computational Intelligence - Special Track: International Symposium on Mobile Computing, Wireless Networks, & Security IEEE CSCI-ISMC, Dec. 2020.
  • M. Faezipour and M. Faezipour, "Smart Healthcare Monitoring Apps with a Flavor of Systems Engineering", accepted (to appear) in the International Conference on Health Informatics and Medical Systems (HIMS'20), Springer Nature, July 2020.
  • A. Rahmati, M. Aloudat, A. Abuzneid and M. Faezipour, "Intraocular Pressure Detection Using CNN from Frontal Eye Images", accepted (to appear) in the International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'20), Springer Nature, July 2020.
  • A. Attia, M. Faezipour and A. Abuzneid, "Comparative Study of Hybrid Machine Learning Algorithms for Network Intrusion Detection", accepted (to appear) in the International Conference on Internet Computing & IoT (ICOMP'20), Springer Nature, July 2020.
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  • K. A. I. Aboalayon and, M. Faezipour, "Single Channel EEG for Near Real-Time Sleep Stage Detection", in Proceedings of the IEEE International Conference on Computational Science and Computational Intelligence - Special Track: International Symposium on Signal & Image Processing, Computer Vision & Pattern Recognition IEEE CSCI-ISPC'2019, pp. 641-645, Dec. 2019.
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  • M. Wasimuddin, K. Elleithy, A. Abuzneid, M. Faezipour, and O. Abuzaghleh, "ECG Signal Analysis Using 2-D Image Classification with Convolutional Neural Network", in Proceedings of the IEEE International Conference on Computational Science and Computational Intelligence - Special Track: International Symposium on Health Informatics & Medical Systems IEEE CSCI-ISHI'2019, pp. 949-954, Dec. 2019.
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  • R. Abdulhammed, M. Faezipour, Hassan Musafer and A. Abuzneid, "Efficient Network Intrusion Detection Using PCA-Based Dimensionality Reduction of Features", in Proceedings of the IEEE International Symposium on Networks, Computers and Communications (IEEE ISNCC 2019), pp. 1-6, Jun. 2019.
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  • M. Daneshzand, M. Faezipour and B. D. Barkana, "Delayed Feedback Frequency Adjustment for Deep Brain Stimulation of Subthalamic Nucleus Oscillations", in Proceedings of the IEEE International Engineering in Medicine and Biology Society Conference, (IEEE EMBC'18), pp. 2194-2197, Jul. 2018.
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  • A. Alessa and M. Faezipour, "Tweet Classification Using Sentiment Analysis Features and TF-IDF Weighting for Improved Flu Trend Detection", in Proceedings of the International Conference on Machine Learning and Data Mining in Pattern Recognition (MLDM 2018), Publisher: Springer Cham, pp. 174-186, Jul. 2018.
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  • R. Abdulhammed, M. Faezipour, A. Abuzneid and A. Alessa, "Enhancing Wireless Intrusion Detection Using Machine Learning Classification with Reduced Attribute Sets", in Proceedings of the IEEE International Wireless Communications and Mobile Computing Conference (IEEE IWCMC 2018), pp. 524-529, Limassol, Cyprus, Jun. 2018.
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  • R. Abdulhammed, M. Faezipour, A. Abuzneid and A. Alessa, "Effective Features Selection and Machine Learning Classifiers for Improved Wireless Intrusion Detection", in Proceedings of the IEEE International Symposium on Networks, Computers and Communications (IEEE ISNCC 2018), pp. 1-6, Rome, Italy, Jun. 2018.
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  • A. Alessa, M. Faezipour and Z. Alhassan, "Text Classification of Flu-Related Tweets Using FastText with Sentiment and Keyword Features", in Proceedings of the IEEE International Conference on Healthcare Informatics (ICHI 2018), pp. 366-367, June 2018.
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  • M. Daneshzand, S. A. Ibrahim, M. Faezipour and B. D. Barkana, "Desynchronization and Energy Efficiency of Gaussian Neurostimulation on Different Sites of the Basal Ganglia", in Proceedings of the 17th IEEE International Conference on Bio-Informatics and Bio-Engineering (BIBE'17), pp. 57-62, Oct. 2017.
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  • A. Alessa and M. Faezipour, "MapReduce and Spark-Based Analytic Framework Using Social Media Data for Earlier Flu Outbreak Detection", in Lecture Notes in Computer Science, LNAI 10357, Advances in Data Mining. Applications and Theoretical Aspects, and in Proceedings of the Industrial Conference on Data Mining (ICDM 2017), Publisher: Springer Nature, pp. 246-257, Jul. 2017.
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  • R. Abdulhammed, M. Faezipour and K. Elleithy, "Malicious Behavior Monitoring of Embedded Medical devices: A Hardware-Based Specification Rules Approach", in Proceedings of IEEE Long Island Systems, Applications and Technology Conference (IEEE LISAT'17), pp. 1-6, May 2017.
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  • S. Al-Khammasi, K. A. I. Aboalayon, M. Daneshzand, Misagh Faezipour and Miad Faezipour, "Hardware-Based FIR Filter Implementations for ECG Signal Denoising: A Monitoring Framework from Industrial Electronics Perspective", in Proceedings of the Annual IEEE Connecticut Conference on Industrial Electronics, Technology & Automation (CT-IETA 2016), pp. 1-6, Oct. 2016. RECEIVED 3RD PLACE BEST PAPER AWARD
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  • H. S. Alotaibi, R. Mahjoub and M. Faezipour, "An Intelligent System to Control the Operation of Tunnels and Subways", in Proceedings of the Annual IEEE Connecticut Conference on Industrial Electronics, Technology & Automation (CT-IETA 2016), pp. 1-5, Oct. 2016.
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  • M. Aloudat and M. Faezipour, "Pupil/Iris Ratio Determination for IOP", in Proceedings of the IEEE International Engineering in Medicine and Biology Society Conference, (IEEE EMBC'16), Aug. 2016.
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  • M. Aloudat and M. Faezipour, "Determination for Glaucoma Disease Based on Red Area Percentage", in Proceedings of IEEE Long Island Systems, Applications and Technology Conference (IEEE LISAT'16), pp. 1-5, Apr. 2016.
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  • R. Abdulhammed, M. Faezipour and K. Elleithy, "Network Intrusion Detection Using Hardware Techniques: A Review", in Proceedings of IEEE Long Island Systems, Applications and Technology Conference (IEEE LISAT'16), pp. 1-7, Apr. 2016.
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  • M. Daneshzand, D. Thomas, K. Elleithy and M. Faezipour, "An Energy Efficient Wireless Sensor Network based on Human Neurons Communication", in Proceeding of the IEEE International Conference on Multisensor Fusion and Integration (IEEE MFI'15), pp. 339-344, Sep. 2015.
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  • T. Alshugran, J. Dichter and M. Faezipour, "Formally Expressing HIPAA Privacy Policies for Web Services", in Proceedings of the IEEE International Conference on Electro/Information Technology (IEEE EIT'15), pp. 295-299, May 2015.
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  • M. Aloudat and M. Faezipour, "Histogram Analysis for Automatic Blood Vessels Detection: First Step of IOP", in Proceedings of the IEEE International Conference on Electro/Information Technology (IEEE EIT'15), pp. 146-151, May 2015.
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  • D. Alhelal, K. A. I. Aboalayon, M. Daneshzand and M. Faezipour, "FPGA-Based Denoising and Beat Detection of the ECG Signal", in Proceedings of IEEE Long Island Systems, Applications and Technology Conference (IEEE LISAT'15), pp. 1-5, May 2015.
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  • W.S. Almuhammadi, K.A.I. Aboalayon, and M. Faezipour, "Efficient obstructive sleep apnea classification based on EEG signals", in Proceedings of the IEEE Long Island Systems, Applications and Technology Conference (LISAT'15), pp. 1-6, May 2015.
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  • K.A.I.Aboalayon, W.S. Almuhammadi and M. Faezipour, "A comparison of different machine learning algorithms using single channel EEG signal for classifying human sleep stages", in Proceedings of the IEEE Long Island Systems, Applications and Technology Conference (LISAT'15), pp. 1-6, May 2015.
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  • O. Abuzaghleh, M. Faezipour and B.D. Barkana, "A comparison of feature sets for an automated skin lesion analysis system for melanoma early detection and prevention", in Proceedings of the IEEE Long Island Systems, Applications and Technology Conference (LISAT'15), pp. 1-6, May 2015.
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  • M. Aloudat and M. Faezipour, "Determining the thickness of the liquid on the cornea for open and closed angle glaucoma using haar filter", in Proceedings of the IEEE Long Island Systems, Applications and Technology Conference (LISAT'15), pp. 1-6, May 2015.
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  • A. Odeh, K. Elleithy, M. Faezipour and E. Abdelfattah, "Highly efficient novel text steganography algorithms", in Proceedings of the IEEE Long Island Systems, Applications and Technology Conference (LISAT'15), pp. 1-7, May 2015.
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  • A.-S. Abuzneid, T. Sobh and M. Faezipour, "An Enhanced Communication Protocol for Anonymity and Location Privacy in WSN", in Proceedings of the IEEE Wireless Communications and Networking Conference Workshops (WCNCW), pp. 91-96, Mar. 2015.
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  • Khalid A. I. Aboalayon and Miad Faezipour*, "Multi-Class SVM Based on Sleep Stage Identification Using EEG Signal", in Proceedings of IEEE EMBS Special Topic Conference on Healthcare Innovation & Point-of-Care Technologies (HIPOCT), pp. 181-184, Oct. 2014.
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  • Khyati Patel, Ashish Aphale, Isaac Macwan, Miad Faezipour and Prabir Patra, "Polycaprolactone Nanofibrous Materials As an Efficient Dry Eye Test Strip", in Proceedings of IEEE EMBS Special Topic Conference on Healthcare Innovation & Point-of-Care Technologies (HIPOCT), pp. 103-105, Oct. 2014.
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  • Amer Al-Rahayfeh and Miad Faezipour*, "Application of Head Flexion Detection for Enhancing Eye Gaze Direction Classification", in Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 966-969, Aug. 2014.
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  • Yuying Bi, Prabir Patra and Miad Faezipour, "Structure of Collagen-Glycosaminoglycan Matrix and the Influence to its Integrity and Stability", in Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 3949-3952, Aug. 2014.
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  • Ammar Odeh, Khaled Elleithy and Miad Faezipour, "Fast Real-Time Hardware Engine for ZWC Text Steganography", in Proceedings of the 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (VITAE), pp. 1-5, May 2014.
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  • Khalid A. I. Aboalayon, H. T Ocbagabir and Miad Faezipour* "Efficient Sleep Stage Classification Based on EEG Signals", in Proceedings of the 10th IEEE Long Island Systems, Applications and Technology Conference (LISAT), pp. 1-6, May 2014.
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  • Amer Al-Rahayfeh and Miad Faezipour*, "Classifiers Comparison for a New Eye Gaze Direction Classification System", in Proceedings of the 10th IEEE Long Island Systems, Applications and Technology Conference (LISAT) pp. 1-6, May 2014.
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  • Amer Al-Rahayfeh and Miad Faezipour*, "Enhanced Combined Eye Gaze Direction Classification and Head Flexion Detection System", in Proceedings of the 10th IEEE Long Island Systems, Applications and Technology Conference (LISAT) pp. 1-6, May 2014.
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  • Ammar Odeh, Khaled Elleithy and Miad Faezipour, "Fast Real-Time Hardware Engine for Multipoint Text Steganography", in Proceedings of the 10th IEEE Long Island Systems, Applications and Technology Conference (LISAT) pp. 1-5, May 2014.
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  • Ammar Odeh, Khaled Elleithy and Miad Faezipour, "A Reliable and Fast Real-Time Hardware Engine for Text Steganography", in Proceedings of the 10th IEEE Long Island Systems, Applications and Technology Conference (LISAT) pp. 1-6, May 2014.
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  • Omar Abuzaghleh, Buket D. Barkana and Miad Faezipour*, "Automated Skin Lesion Analysis Based on Color and Shape Geometry Feature Set for Melanoma Early Detection and Prevention", in Proceedings of the 10th IEEE Long Island Systems, Applications and Technology Conference (LISAT) pp. 1-6, May 2014.
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  • Omar Abuzaghleh, Buket D. Barkana and Miad Faezipour*, "Automated SKINcure: A real Time Image Analysis System to Aid in the Malignant Melanoma Prevention and Early Detection", in Proceedings of the IEEE Southwest Symposium on, Image Analysis and Interpretation (SSIAI), pp. 85-88, Apr. 2014.
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  • Omar Yahya and Miad Faezipour*, "Automatic Detection and Classification of Acoustic Breathing Cycles", in Proceedings of the Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1), pp. 1-5, IEEE Publisher, Apr. 2014.
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  • Ammar Odeh, Khaled Elleithy and Miad Faezipour, "Steganography in Text By Using MS Word Symbols", in Proceedings of the Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1), pp. 1-5, IEEE Publisher, Apr. 2014.
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  • Mohammad Daneshzand, Reza Zoroofi and Miad Faezipour*, "MR Image Assisted Drug Delivery in Respiratory Tract and Trachea Tissues Based on an Enhanced Level Set Method", in Proceedings of the Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1), pp. 1-7, IEEE Publisher, Apr. 2014.
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  • A. Al-Rahayfeh and M. Faezipour, "Enhanced Eye Gaze Direction Classification Using a Combination of Face Detection, CHT and SVM", in Proceedings of the IEEE Signal Processing in Medicine and Biology Symposium (SPMB'13), pp.1-6 , New York, NY, Dec. 2013.
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  • L. Almazaydeh, K. Elleithy, M. Faezipour and A. Abushakra, "Apnea Detection Based on Respiratory Signal Classification", Procedia Computer Science, Vol. 21, pp. 310-316, Elsevier, ScienceDirect, the 3rd International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2013), Ontario, Canada, Oct. 2013.
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  • A. Al-Rahayfeh and M. Faezipour, "Enhanced Frame Rate for Real-Time Eye Tracking Using Circular Hough Transform", in Proceedings of the 9th IEEE Long Island Systems and Applications and Technology Conference (IEEE LISAT'13), pp. 1-6, Farmingdale, NY, May 2013.
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  • D. Saber, N. Fadhil, P. Patra and M. Faezipour, "Intravascular Multi-Layered Glucose Sensor for an Artificial Pancreas", in Proceedings of the 9th IEEE Long Island Systems and Applications and Technology Conference (IEEE LISAT'13), pp. 1-6, May 2013.
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  • H. Ocbagabir, K. A. I. Aboalayon and M. Faezipour, "Efficient EEG Analysis for Seizure Monitoring in Epileptic Patients", in Proceedings of the 9th IEEE Long Island Systems and Applications and Technology Conference (IEEE LISAT'13), pp. 1-6, Farmingdale, NY, May 2013.
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  • O. Abuzaghleh, M. Faezipour and B. D. Barkana, "SKINaid: A Virtual Reality System to Aid in the Skin Cancer Prevention and Pain Treatments", in Proceedings of the 9th IEEE Long Island Systems and Applications and Technology Conference (IEEE LISAT'13), pp. 1-6, Farmingdale, NY, May 2013.
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  • A. Odeh, K. Elleithy and M. Faezipour, "Steganography in Arabic Text using Kashida Variation Algorithm (KVA)", in Proceedings of the 9th IEEE Long Island Systems and Applications and Technology Conference (IEEE LISAT'13), pp. 1-6, Farmingdale, NY, May 2013.
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  • A. Odeh, K. Elleithy and M. Faezipour, "Text Steganography Using Language Remarks", in Proceedings of the ASEE Northeast Regional Conference, pp. 1-7, Norwich, VT, Mar. 2013.
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  • O. Abuzaghleh and M. Faezipour, "A Novel Virtual Reality System for Skin Cancer Prevention Aid", in Proceedings of the ASEE Northeast Regional Conference, pp. 1-5, Norwich, VT, Mar. 2013.
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  • L. Almazaydeh, K. Elleithy and M. Faezipour, "A Panoramic Study of Obstructive Sleep Apnea Detection Technologies", in Proceedings of the 28th International Conference on Computers and Their Applications, CATA-2013, pp. 1-6, Mar., 2013.
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  • A. Abushakra and M. Faezipour, "Estimating Lung Capacity from Acoustic Signal of Respiration", in Proceedings of the IEEE EMBS Micro and Nanotechnology in Medicine Conference (IEEE MNMC'12), pp. 19, Kaanapali, Hawaii, Dec. 2012.
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  • A. Abushakra and M. Faezipour, "Conceptual Framework of a Virtual Reality Environment to Assist Lung Cancer Patientsv, in Proceedings of the IEEE EMBS Micro and Nanotechnology in Medicine Conference (IEEE MNMC'12), pp. 20, Kaanapali, Hawaii, Dec. 2012.
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  • L. Almazaydeh, K. Elleithy, V. Pande, and M. Faezipour, "OSA Screening Test at the Patient's Home", in Proceedings of the IEEE EMBS Micro and Nanotechnology in Medicine Conference (IEEE MNMC'12), pp. 5, Kaanapali, Hawaii, Dec. 2012.
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  • A. Al-Rahayfeh and M. Faezipour, "Eye Tracking and Head Movements Detection to Assist People with Disabilities: Unveiled", in Proceedings of the CISSE Conference, IEEE Connecticut Section, pp. 1-4, Dec. 2012.
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  • L. Almazaydeh, K. Elleithy, M. Faezipour and H. Ocbagabir, "SVM-Based Sleep Apnea Identification Using Optimal RR-Interval Features of the ECG Signal", in Proceedings the IEEE Healthcare Innovation Conference, (IEEE HIC 2012), pp. 278-281, Houston, TX, Nov. 2012.
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  • A. Abushakra and M. Faezipour, "An Automated Approach Towards Estimating Lung Capacity from Respiration Sounds", in Proceedings of the IEEE Healthcare Innovations Conference (HIC'12), pp. 232-235 , Houston, TX, Nov. 2012.
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  • A. Abushakra and M. Faezipour, "Lung Capacity Estimation Through Acoustic Signal of Breath", in Proceedings of the 12th IEEE International Conference on BioInformatics and BioEngineering (BIBE), pp. 386-391, Larnaca, Cyprus, Nov. 2012.
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  • L. Almazaydeh, K. Elleithy, V. Pande, and M. Faezipour, "Development of OSA Event Detection Using Threshold Based Automatic Classification", in Proceedings of the 25th ISCA International Conference on Computer Applications in Industry and Engineering (CAINE'12), pp. 1-5, Nov. 2012.
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  • L. Almazaydeh, K. Elleithy and M. Faezipour, "Obstructive Sleep Apnea Detection Using SVM-Based Classification of ECG Signal Features", in Proceedings of the 34th Annual IEEE Engineering in Medicine and Biology Society Conference (EMBC'12), pp. 4938-4941, Aug.-Sep. 2012.
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  • S. Bhosale, A. Aphale, I. Macwan, M. Faezipour, P. Bhosale and P. Patra, "Computer Assisted Detection of Liver Neoplasm (CADLN)", in Proceedings of the 34th Annual IEEE Engineering in Medicine and Biology Society Conference (EMBC'12), pp. 1510-1513, Aug.-Sep. 2012.
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  • L. Almazaydeh, K. Elleithy and M. Faezipour, "Detection of Obstructive Sleep Apnea Through ECG Signal Features", in Proceedings of the IEEE International Conference on Electro/Information Technology (EIT'12), pp. 1-6, May. 2012.
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  • A. Abushakra, M. Faezipour and A. Abumunshar, "Efficient Frequency-Based Classification of Respiratory Movementsv, in Proceedings the IEEE International Conference on Electro/Information Technology (EIT'12), pp. 1-5, May 2012.
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  • A. M. Odeh and M. Faezipour, "Improving Wireless Infrastructure Networks Security by Access Point Checking", in Proceedings of the ASEE Northeast Regional Conference, pp. 1-10, Apr. 2012.
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  • A. M. Odeh and M. Faezipour, "Access Point Checking to Improve Security in Wireless Infrastructure Networks", in Proceedings of the CISSE Conference, IEEE Connecticut Section, Springer, pp. 1-4, Dec. 2011.
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  • S. Ostadabbas, R. Yousefi, M. Nourani, M. Faezipour, L. Tamil and M. Pompeo, "A Patient Posture Scheduling Using Constrained Shortest Path to Prevent Pressure Ulcers", in Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM'11), pp. 327-332, Nov. 2011.
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  • R. Yousefi, S. Ostadabbas, M. Faezipour, M. Nourani, V. Ng, L. Tamil, A. Bowling, D. Behan and M. Pompeo, "A Smart Bed Platform for Monitoring & Ulcer Prevention", in Proceedings of the 4th IEEE International Conference on Biomedical Engineering and Informatics (BMEI'11), pp. 1362-1366, Oct. 2011.
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  • R. Yousefi, S. Ostadabbas, M. Faezipour, M. Farshbaf, M. Nourani, L. Tamil and M. Pompeo, "Bed Posture Classification for Pressure Ulcer Prevention", in Proceedings of the 33rd Annual IEEE Engineering in Medicine and Biology Society Conference (EMBC'11), pp. 7175-7178, Aug.-Sep. 2011.
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  • S. C. Bulusu, M. Faezipour, V. Ng, M. Nourani, L. S. Tamil and S. Banerjee, "Transient ST-Segment Episode Detection for ECG Beat Classification", in Proceedings of the IEEE-NIH Life Science Systems and Applications Workshop (LiSSA'11), pp. 121-124, Apr. 2011.
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  • S. Ostadabbas, R. Yousefi, M. Faezipour, M. Nourani and M. Pompeo, "Pressure Ulcer Prevention: An Efficient Turning Schedule for Bed-Bound Patients", in Proceedings of the IEEE-NIH Life Science Systems and Applications Workshop (LiSSA'11), pp. 159-162, Apr. 2011.
    		•
  • M. Faezipour, A. Saeed, R. Yousefi, S. Ostadabbas, M. Nourani and S. Addepalli, "Data Collection & Processing in Vehicle-Area-Networks: A Review", accepted (to appear) in Proceedings of the IEEE International Symposium on Telecommunications (IST'10), pp. 1-5, Dec. 2010.
    		•
  • M. Faezipour, A. Saeed and M. Nourani, "Automated ECG Profiling and Beat Classification", in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'10), pp. 2198-2201, Mar. 2010.
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  • M. Faezipour, M. Nourani and S. Addepalli, "A Behavioral Analysis Engine for Network Traffic", in Proceedings of the IEEE Consumer Communications & Networking Conference (CCNC'10), pp. 1-5, Jan. 2010.
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  • M. Faezipour, T. M. Tiwari, A. Saeed, M. Nourani and L. S. Tamil, "Wavelet-Based Denoising and Beat Detection of ECG Signal", in Proceedings of the IEEE-NIH Life Science Systems and Applications Workshop, (LiSSA'09), pp. 100-103, Apr. 2009.
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  • A. Saeed, M. Faezipour, M. Nourani and L. S. Tamil, "Plug-and-Play Sensor Node for Body Area Networks", in Proceedings of the IEEE-NIH Life Science Systems and Applications Workshop (LiSSA'09), pp. 104-107, Apr. 2009.
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  • M. Faezipour and M. Nourani, "Regular Expression Matching for Reconfigurable Constraint Repetition Inspection", in Proceedings of the IEEE Global Telecommunication Conference (GLOBECOM'08), pp. 1-5, Nov. 2008.
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  • M. Faezipour and M. Nourani, "Constraint Repetition Inspection for Regular Expression on FPGA", in Proceedings of the16th Annual IEEE Symposium of High-Performance Interconnects (HOTI'08), pp. 111-118, Aug. 2008.
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  • M. Faezipour and M. Nourani, "Reconfigurable Constraint Repetition Unit for Regular Expression Matching", in Proceedings of the 16th Annual IEEE Symposium on Field-Programmable Custom Computing Machines, (FCCM'08)", pp. 279-280, Apr. 2008.
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  • M. Faezipour and M. Nourani, "A High-Performance Multi-Match Priority Encoder for TCAM-Based Packet Classifiers," in Proceedings of the IEEE Dallas Circuits and Systems Workshop (DCAS'07), pp. 85-88, Nov. 2007.
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  • M. Faezipour, M. Nourani and R. Panigrahy, "A Real-Time Worm Outbreak Detection System Using Shared Counters," in Proceedings of the 15th Annual IEEE Symposium of High-Performance Interconnects (HOTI'07), pp. 65-72, Aug. 2007.
    		•
  • M. Faezipour and M. Nourani, "A Customized TCAM Architecture for Multi-Match Packet Classification," in Proceedings of the IEEE Global Telecommunications Conference, (GLOBECOM'06), CAM-01, pp. 1-5, Nov. 2006.
    		•
  • M. Nourani and M. Faezipour, "A Single-Cycle Multi-Match Packet Classification Engine Using TCAMs," in Proceedings of the 14th Annual IEEE Symposium on High-Performance Interconnects (HOTI'06), pp. 73-80, Aug. 2006.

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  • View and download articles from ResearchGate

    • Selected Talks and Presentations

    * Machine Learning Based Feature Reduction for Network Intrusion Detection, Faculty Research Day, Bridgeport, CT, USA, Mar. 2019. RECEIVED BEST FACULTY POSTER AWARD
    * Digital/Biomedical Embedded Software and Hardware Co-Designs, Colloquium Series, Hofstra University, Hempstead, NY, USA, Jan. 2018.
    * EEG Signal Analysis for Effective Classification of Brain States, Faculty Research Day, Bridgeport, CT, March 2015.
    * A Patient Adaptive Profiling Scheme for ECG Beat Classification, Faculty Research Day, Bridgeport, CT, March 2014. RECEIVED BEST FACULTY POSTER AWARD
    * Engage Students in Engineering using Everyday Engineering Examples, Faculty Research Day, Bridgeport, CT, March 2014.
    * D-BEST Lab Research Areas, ASEE Zone 1 Conference Panel Discussion, Bridgeport, CT, April, 2014.
    * Application of Head Flexion Detection for Enhancing Eye Gaze Direction Classification, IEEE Engineering in Medicine and Biology Conference, Chicago, IL, USA, Aug. 2014.
    * Conceptual Framework of a Virtual Reality Environment to Assist Lung Cancer Patients, Faculty Research Day, Bridgeport, CT, USA, Feb 2013.
    * Lung Capacity Estimation Through Acoustic Signal of Breath, IEEE International Conference on BioInformatics and BioEngineering, Larnaca, Cyprus, Nov. 2012.
    * Obstructive Sleep Apnea Detection Using SVM-Based Classification of ECG Signal Features, IEEE Engineering in Medicine and Biology Society Conference, San Diego, CA, USA, Aug. 2012.
    * Early Detection of Myocardial Ischemia Using Transient ST-Segment Episode Analysis of ECG, The University of Texas at Arlington, Arlington, TX, USA, May 2011.
    * Repetition-Based Behavior Analysis and Profiling for Abnormality Detection, Tennessee Tech University, Cookeville, TN, USA, April 2011.
    * Anomaly Detection Using Repetition-Based Behavior Profiling, University of Bridgeport, Bridgeport, CT, USA, April 2011.
    * Packetized Behavior Profiling for Irregularity Detection, Sonoma State University, Rohnert Park, CA, USA, April 2011.
    * Data Acquisition System with 8051 Microcontroller, Ohio Northern University, Ada, OH, USA, March 2011.
    * A Behavioral Analysis Platform for Abnormality Detection, The University of Alaska at Fairbanks, Fairbanks, AK, USA, May 2010.
    * A Patient-Adaptive Profiling Scheme for ECG Beat Classification, The University of Texas Southwestern Medical Center, Dallas, TX, USA, April 2010.
    * Packet Content Inspection: Methodologies and Hardware Implementation, Cisco Systems, Inc., San Jose, CA, USA, April 2010.
    * Automated ECG Profiling and Beat Classification, Dallas, TX, USA, April 2010.
    * Regular Expression Matching for Reconfigurable Constraint Repetition Inspection, New Orleans, LA, USA, Nov. 2008.
    * A High-Performance Multi-Match Priority Encoder for TCAM-Based Packet Classifiers, Dallas, TX, USA, Nov. 2007.
    * A Customized TCAM Architecture for Multi-Match Packet Classification, San Francisco, CA, USA, Nov. 2006.
     


     University of Bridgeport , Engineering-Technology Building , 221 University Ave., Bridgeport, CT 06604, USA