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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] |
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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] |
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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] |
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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] |
| |
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] |
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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] |
| |
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. |
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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] |
| |
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] |
| |
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] |
| |
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] |
| |
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] |
| |
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] |
| |
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. |
| |
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] |
| |
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. |
| |
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. |
| |
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. [PDF] |
| |
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] |
| |
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. |
| |
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. |
| |
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. |
| |
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. |
| |
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. |
| |
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. [PDF] |
| |
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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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. |
| |
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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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
| |
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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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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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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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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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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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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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. |
| |
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. |
| |
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. |
| |
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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Selected Posters
|
| * |
R. Abdulhammed, H. Musafer, A. Alessa, M. Faezipour, A. Abuzneid, "Machine Learning Approaches for Flow-Based Intrusion Detection Systems", Faculty Research Day, Mar. 2018. |
| * |
R. Abdulhammed, M. Faezipour and K. Elleithy, "Detecting Malicious Behavior for the Sensors and Actuators Embedded in Medical Devices: A Hardware Approach", Faculty Research Day, Mar. 2017. RECEIVED 1ST PLACE BEST DOCTORAL STUDENT POSTER AWARD |
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M. Aloudat and M. Faezipour*, "Monitoring IOP Based on Pupil/Iris Ratio", IEEE Connecticut Conference on Industrial Electronics, Technology & Automation (CT-IETA 2016) Poster Session, Oct. 2016. RECEIVED 1ST PLACE BEST DOCTORAL STUDENT POSTER AWARD |
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M. Daneshzand, B. Barkana and M. Faezipour*, "Explaining Abnormal Patterns Seen in Parkinson's Disease with Computational Modeling", IEEE Connecticut Conference on Industrial Electronics, Technology & Automation (CT-IETA 2016) Poster Session, Oct. 2016. RECEIVED 2ND PLACE BEST DOCTORAL STUDENT POSTER AWARD |
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K. A. I. Aboalayon and M. Faezipour*, "A New Sleep Stage Classification Model Using Single-Channel EEG Signal Analysis", IEEE Connecticut Conference on Industrial Electronics, Technology & Automation (CT-IETA 2016) Poster Session, Oct. 2016. |
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P. Shah, J. M. Pallis and M. Faezipour*, "Automatic Gait Balance Detection System", IEEE Connecticut Conference on Industrial Electronics, Technology & Automation (CT-IETA 2016) Poster Session, Oct. 2016. RECEIVED 1ST PLACE BEST MASTERS STUDENT POSTER AWARD |
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M. Aloudat and M. Faezipour*, "Pupil/Iris Ratio Determination for IOP", IEEE International Engineering in Medicine and Biology Society Conference, (IEEE EMBC'16) Poster Session, Aug. 2016. |
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O. Abuzaghleh, M. Faezipour and B. Barkana, "A Portable Real-Time Noninvasive Skin Lesion Analysis System to Assist in Melanoma Early Detection and Prevention", Faculty Research Day, Apr. 2016. RECEIVED BEST FACULTY POSTER AWARD |
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M. Faezipour* and M. Aloudat, "Image-Based Risk Assessment Analysis for Glaucoma Determination", Faculty Research Day, Apr. 2016. |
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R. Abdulhammed, M. Faezipour and K. Elleithy, "Network Intrusion Detection Using Hardware Techniques: A Review", ASEE Northeast Regional Conference, Apr. 2016, and Faculty Research Day, Apr. 2016. |
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A. Al Essa, M. Faezipour, J. Lee and G. K. Duggina, "Flu Trend Prediction Using Social Media Network Data", ASEE Northeast Regional Conference, Apr. 2016, and Faculty Research Day, Apr. 2016. |
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L. Vuligonda, P. Donthula, J. M. Pallis and M. Faezipour, "Gait Balance Detection and Analysis Using Smart-phone Application", ASEE Northeast Regional Conference, Apr. 2016, and Faculty Research Day, Apr. 2016. |
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D. Alhelal and M. Faezipour*, "Denoising and Beat Detection of ECG Signal By Using FPGA", Connecticut Microelectronics and Optoelectronics Consortium (CMOC), Apr. 2015. |
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M. Daneshzand, M. Faezipour* and B.D. Barkana, "A Hyperbolic Model of Neuronal Spiking Patterns in Parkinson's Disease", ASEE Northeast Regional Conference, May 2015, and Faculty Research Day, Mar. 2015. |
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Miad Faezipour, Khald A. I. Aboalayon, Mohammad Daneshzand, Wafaa Almuhammadi, and Helen Ocbagabir, "EEG Signal Analysis for Effective Classification of Brain States", Faculty Research Day, Mar. 2015. |
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Khald A. I. Aboalayon and Miad Faezipour, "Multi-Class SVM Based on Sleep Stage Identification Using EEG Signal", ASEE Northeast Regional Conference, May 2015, and Faculty Research Day, Mar. 2015. |
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Mohammad Aloudat and Miad Faezipour, "Histogram Analysis for Automatic Blood Vessels Detection: First Step of IOP", ASEE Northeast Regional Conference, May 2015, and Faculty Research Day, Mar. 2015. |
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Omar Abuzaghleh, Miad Faezipour and Buket D. Barkana, "SKINCURE: An Innovative Smart Phone-Based Application to Assist in Melanoma Early Detection and Prevention", ASEE Northeast Regional Conference, May 2015, and Faculty Research Day, Mar. 2015. |
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Miad Faezipour* et al., "A Patient Adaptive Profiling Scheme for ECG Beat Classification", Faculty Research Day, Mar. 2014, RECEIVED BEST FACULTY POSTER AWARD. |
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Amer Al-Rahayfeh and Miad Faezipour, "Enhanced Eye Gaze Direction Classification Using a Combination of Face Detection, CHT and SVM", ASEE Northeast Zone 1 Conference, Apr. 2014, and Faculty Research Day, Mar. 2014. |
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Ammar Odeh, Khaled Elleithy, Miad Faezipour and Eman Abdelfattah "Novel Steganography over HTML Code", ASEE Northeast Zone 1 Conference, Apr. 2014, and Faculty Research Day, Mar. 2014. |
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Khalid A. I. Aboalayon, H. T Ocbagabir and Miad Faezipour "Efficient Sleep Stage Classification Based on EEG Signals", ASEE Northeast Zone 1 Conference, Apr. 2014, and Faculty Research Day, Mar. 2014. |
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Omar Abuzaghleh, Buket D. Barkana and Miad Faezipour, "SKINcure: A Real Time Image Analysis System to Aid in the Malignant Melanoma Prevention and Early Detection", ASEE Northeast Zone 1 Conference, Apr. 2014, and Faculty Research Day, Mar. 2014. |
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H. T. Ocbagabir, K. A.I. Aboalayon and M. Faezipour, "Simple and Fast EEG Signal Filtering for Monitoring Seizure/Brain Disorders", ASEE Northeast Regional Conference, Mar. 2013. |
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A. Al-Rahayfeh and M. Faezipour, "Super Assistive Technology with Combined Smart Modules", ASEE Northeast Regional Conference, Mar. 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 Treatment", ASEE Northeast Regional Conference, Mar. 2013. |
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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", ASEE Northeast Regional Conference, Mar. 2013, RECEIVED 1ST PLACE BEST STUDENT POSTER AWARD. |
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A. Abushakra and M. Faezipour, "Estimating Lung Capacity From Acoustic Signal of Respiration", Faculty Research Day, Feb. 2013. |
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M. Faezipour and A. Abushakra, "Conceptual Framework of a Virtual Reality Environment to Assist Lung Cancer Patients", Faculty Research Day, Feb. 2013. |
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L. Almazaydeh, K. Elleithy and M. Faezipour, "A New Model for Diagnosing Sleep Apnea through Features Extraction of the SpO2 Signal", in Proceedings of the ASEE Northeast Regional Conference, Apr. 2012, RECEIVED HONORABLE MENTION. |
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A. M. Odeh and M. Faezipour, "Secure Wireless Infrastructure Network Using Access Point Checking", in Proceedings of the ASEE Northeast Regional Conference, Apr. 2012. |
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A. Abushakra, M. Faezipour, A. Abumunshar and P. Patra, "Breathing Movement Classification Using MFCCs", in Proceedings the ASEE Northeast Regional Conference, Apr. 2012. |
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