Miad Faezipour

Miad Faezipour, Ph.D.

Associate Professor of Computer Science and Engineering and Biomedical Engineering

Engineering – Technology Bldg – Office 155
(203) 576-4702

Miad Faezipour is an associate professor in Computer Science & Engineering and Biomedical Engineering at the University of Bridgeport, CT, and the founder and director of the Digital/Biomedical Embedded Systems & Technology (D-BEST) research laboratory since July 2011. Prior to joining UB as an assistant professor, she has been a post-doctoral research associate at the University of Texas at Dallas collaborating with the CICS and QoLT laboratories. She received the B.Sc. in Electrical Engineering from the University of Tehran, Iran and the M.Sc. and Ph.D. in Electrical Engineering from the University of Texas at Dallas. Her research interests lie in the broad areas of biomedical signal processing and behavior analysis techniques, machine learning/classification, high-speed packet processing architectures, and digital/biomedical embedded systems. She is a member of IEEE, EMBS and IEEE Women in Engineering.

 

Education:
Ph.D. in Electrical Engineering, University of Texas at Dallas, 2010
M.S. in Electrical Engineering, University of Texas at Dallas, 2006
B.S. in Electrical Engineering, University of Tehran, Tehran, Iran, 2002

 

Courses Taught:
CPEG 210 Digital Systems Design I
CPEG 315 Digital Systems Design II with Lab
CPEG/BMEG 387/587 Embedded Systems Design
CPEG 447 Logic Synthesis Using FPGAs
CPEG/BMEG 415/515 Advanced Digital Systems

 

Publications:
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.

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.

M. Daneshzand, M. Faezipour and B. D. Barkana, “Computational Stimulation of the Basal Ganglia Neurons with Cost Effective Delayed Gaussian Waveforms”, Frontiers in Computational Neuroscience, Vol. 11, No. 73, pp. 1-16, Aug. 2017.

M. Daneshzand, M. Faezipour and B. D. Barkana, “Hyperbolic Modeling of Subthalamic Nucleus Cells to Investigate the Effect of Dopamine Depletion”, Computational Intelligence and Neuroscience, 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”, Entropy, Special Issue in Entropy and Electroencephalography II, Vol. 18, No. 9, 272, pp. 1-31, Aug. 2016.

O. Abuzaghleh, B. D. Barkana and M. Faezipour, “Noninvasive Real-Time Automated Skin Lesion Analysis System for Melanoma Early Detection and Prevention”, 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.

A. Abuzneid, T. M. Sobh, M. Faezipour, A. Mahmood and J. James, “Fortified Anonymous Communication Protocol for Location Privacy in WSN: A Modular Approach”, Sensors Journal, Vol. 15, pp. 5821-58642, 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”, Signal & Image Processing : An International Journal (SIPIJ) Vol.5, No.6, pp. 1-15, Dec. 2014.

A. Abushakra and M. Faezipour, “Augmenting Breath Regulation Using a Mobile Driven Virtual Reality Therapy Framework”, 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”, IEEE Journal on Translational Engineering in Health and Medicine, Vol. 1, pp. 1-12, Nov. 2013. RANKED TOP #1 MOST ACCESSED ARTICLES IN MARCH 2017.

A. Abushakra and M. Faezipour*, “Acoustic Signal Classification of Breathing Movements to Virtually Aid Breath Regulation”, IEEE Transactions on Information Technology in BioMedicine (TITB), newly named as IEEE Journal of Biomedical Health Informatics, Vol. 17, No. 2, pp. 493-500, March 2013.

S. Ostadabbas, R. Yousefi, M. Nourani, M. Faezipour, L. Tamil and M. Pompeo, “A Resource-Efficient Planning for Pressure Ulcer Prevention,” IEEE Transactions on Information Technology in Biomedicine (TITB), Vol.16, No. 6, pp. 1265-1273, Nov. 2012.

M. Faezipour*, A. Saeed, M. Nourani and S. Addepalli, “Progress and Challenges in Intelligent Vehicle-Area-Networks”, Communications of the ACM, Vol. 55, No. 2, pp. 90-100, Feb. 2012.

M. Faezipour*, A. Saeed, S. C. Bulusu, M. Nourani, H. Minn and L. S. Tamil “A Patient-Adaptive Profiling Scheme for ECG Beat Classification”, IEEE Transactions on Information Technology in Biomedicine, Vol. 14, No. 5, pp. 1153-1165, Sep. 2010. RANKED TOP 10 ACCESSED ARTICLES IN DECEMBER 2010.

M. Faezipour*, M. Nourani and R. Panigrahy, “A Hardware Platform for Efficient Worm Outbreak Detection”, ACM Transactions on Design Automation of Electronic Systems, pp. Vol. 14, No. 4, Article 49, pp. 49-67, Aug. 2009.

A. Saeed, M. Faezipour, M. Nourani, S. Banerjee, G. Lee, G, Gupta, L. S. Tamil, “A Scalable Wireless Body Area Network for Bio-Telemetry”, Journal of Information Processing Systems (JIPS), Vol. 5, No. 2, pp. 77-86, Jun. 2009.

M. Faezipour* and M. Nourani, “Wire-Speed TCAM-Based Architectures for Multi-Match Packet Classification”, IEEE Transactions on Computers, Vol. 58, No. 1, pp. 5-17, Jan. 2009.

 

Honors and Awards:
Honored Certificate of Appreciation & Recognition: Contributing Women Faculty, We L.E.A.D & Student Programming Board, March 2017.
Honored Certificate of Appreciation: Scientific Efforts on IEEE International Conference on Multidisciplinary in IT and Communication Science Technologies, May 2016.
Awarded Recognized Reviewer, Biomedical Signal Processing and Control Journal, Feb. 2016
Recipient of the Best Faculty Poster Award, Faculty Research Day, Bridgeport, CT, Mar. 2014.

 

Grants:
University of Bridgeport Seed Money Grant (Funded: $15,000) Jan. 2018-Dec. 2018
Co-Principal Investigator, Dynamic Intrusion Detection System for the Internet-of-Things Using Machine Learning

NASA Connecticut Space Grant Consortium (Funded: $27,300) Jun. 2017-May 2018
Co-Principal Investigator, Computer-Aided Simulator and Benchmark Testbed for the Internet of WSNs Using Satellite Link Communications
UB’ matching fund: $17,300

University of Bridgeport Seed Money Grant (Funded: $9,975) Jan. 2016-Dec. 2016
Co-Principal Investigator, Automatic Gait Balance Detection: Hardware/Software and Mobile Application Design

University of Bridgeport Seed Money Grant (Funded: $6,000) Feb. 2015-Feb. 2016
Principal Investigator, Histogram Analysis for Automatic Blood Vessels Detection: First Step of Intraocular Pressure (IOP)

University of Bridgeport Seed Money Grant (Funded: $6,000) Feb. 2014-Feb. 2015
Principal Investigator, Efficient EEG Analysis for Seizure Monitoring in Epileptic Patients

University of Bridgeport Seed Money Grant (Funded: $6,000) Feb. 2014-Feb. 2015
Co-Principal Investigator, SKINaid: A Real-Time Image Analysis System to Aid in the Malignant Melanoma Prevention and Early Detection

National Science Foundation (NSF) (Funded: $2,000) Mar. 2013-Mar. 2014
Co-Principal Investigator, Engaging Students: Everyday Examples in Engineering (E3s)
NSF E3s Minigrant

NASA Connecticut Space Grant Consortium (Funded: $5,000) 2013-May 2013
Investigator/Supervisor, Identifying Breathing Movements to Aid Breath Regulation
Undergraduate Fellowship Awarded to Sarah Michels

University of Bridgeport Seed Money Grant (Funded: $6,000 Ranked:#1 Mar. 2012-Mar. 2013
Principal Investigator, Breathing Movement Classification for Lung Cancer Patients