Electrical Engineering Department

Chairman: Dr. Navarun Gupta

The Electrical Engineering department at the University of Bridgeport offers an undergraduate degree and graduate degree to help meet the growing need for engineers. At UB, students will gain knowledge in the areas and competencies necessary to be successful in electrical engineering, while also having the opportunity to gain an in-depth knowledge in areas such as Communications, Control Systems, Electronics and Digital Processing.

Students in our master’s degree program have the option to choose from several concentration areas. In addition, the department also offers the opportunity to acquire dual graduate degrees along with the M.S. degree in Electrical Engineering. Candidates for these dual Master’s degree programs are typically required to complete a total of 48 credit hours to satisfy the requirements of two Masters degrees. This implies 15 credit hours in addition to the 30 hours required for the M.S. degree in Electrical Engineering. Please refer to the Graduate Studies Division catalog pages for detailed information on Dual Graduate Degree programs.

Mission Statement of the Electrical Engineering Department

The department’s mission is to provide an intellectually stimulating environment preparing our students to be leaders in industry, government, and academia. The department promotes academic excellence and scholarly research at the frontiers of electrical engineering through a rigorous curriculum of theory and an interdisciplinary, application-oriented approach. We strive to prepare our students for professional careers and advanced studies. We are committed to creating awareness of ethical responsibilities to the profession and to society.

Faculty

Buket D. Barkana, Ph.D.

Professor of Electrical Engineering, School of Engineering

Engineering – Technology Bldg – Office 157

(203) 576-4577

bbarkana@bridgeport.edu

Buket D. Barkana is a Professor in the Electrical Engineering Department at the University of Bridgeport, Connecticut. She is also the Director of the Signal Processing Research Group (SPRG) Laboratory in the School of Engineering, University of Bridgeport. A member of IEEE, Dr. Barkana received her...

Buket D. Barkana is a Professor in the Electrical Engineering Department at the University of Bridgeport, Connecticut. She is also the Director of the Signal Processing Research Group (SPRG) Laboratory in the School of Engineering, University of Bridgeport. A member of IEEE, Dr. Barkana received her B.S. degree in Electrical and Electronics Engineering from Anatolia University, Eskisehir, Turkey in 1994, and M.Sc. and Ph.D. degrees in Electrical and Electronics Engineering from the ESOGU, Eskisehir, Turkey in 1997 and 2005, respectively. She worked as a full-time faculty member at Anatolia University from 1995-1999, and as a Research Assistant at the ESOGU from 1999-2001 in Turkey. Dr. Barkana joined the University of Bridgeport in January 2007.

Dr. Barkana’s research interests include digital signal and image processing, innovations in engineering education, and STEM education in K-12 schools. Besides teaching, she supervises Master and Ph.D. students. Along with Dr. Ngoh and Dr. Cook, Dr. Barkana developed a project-based STEM course titled “STEM for Teacher Educators” for the School of Education students at UB in 2010.

Dr. Barkana works with local K-12 schools to advertise and improve their science and pre-engineering education. She has internal and external funded grants.

Education:
Ph.D., Electrical and Electronics Engineering, ESOGU, Eskisehir, Turkey, 2005
M.Sc., Electrical and Electronics Engineering, ESOGU, Eskisehir, Turkey, 1997
B.S., Electrical and Electronics Engineering, Anatolia University, Eskisehir, Turkey, 1994

Courses Taught:
ELEG 443/ BME443: Digital Signal Processing
ELEG 459/BMEG459: Audio Signal Processing Lab
ELEG 442: Digital Communications
ELEG 543/BMEG543: Digital Signal Processing Lab
ELEG 513/BMEG513: Biomedical Image Processing
ELEG: Communications Lab
EDMM-600D-BR1 STEM for Teacher Educators

Publications:
Mohammad Daneshzand, Miad Faezipour, Buket D. Barkana, Hyperbolic Modeling of Subthalamic Nucleus cells to investigate the effect of Dopamine Depletion, Computational Intelligence and Neuroscience, Volume 2017 (2017), Article ID 5472752, https://doi.org/10.1155/2017/5472752.

Mohammad Daneshzand, Miad Faezipour, Buket D. Barkana, Computational stimulation of the basal ganglia neurons with cost effective delayed Gaussian waveforms, Frontiers in Computational Neuroscience, August 2017 https://doi.org/10.3389/fncom.2017.00073

Arafat Abu Mallouh, Zakariya Qawaqneh, B.D. Barkana, Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model, arXiv:1709.01664 [cs.CV], 2017

Zakariya Qawaqneh, Arafat Abu Mallouh, B.D. Barkana, Age and gender classification from speech and face images by jointly fine-tuned deep neural networks, Expert Systems with Applications, vol.85, pp: 76-86, November 2017.

Buket D. Barkana, Inci Saricicek, Evaluation of SVM, ANN, and classifier-fusion based CAD systems in benign and malignant breast lesion classification using digital mammography images. Journal of Medical Imaging and Health Informatics, vol.7, no.7, pp.1566-1571, November 2017, DOI: https://doi.org/10.1166/jmihi.2017.2167

Arafat Abu Mallouh, Zakariya Qawaqneh, B.D. Barkana, New Transformed Features Generated by Deep Bottleneck Extractor and a GMM-UBM Classifier for Speaker Age and Gender Classification. Neural Computing & Applications, 2017, DOI: 10.1007/s00521-017-2848-4.

D. Barkana, Inci Sariciek, Burak Yildirim, Performance analysis of descriptive statistical features in retinal segmentation via fuzzy, ANN, SVM, and classifier fusion. Knowledge Based Systems, Volume 118, 15 February 2017, Pages 165–176.

Zakariya Qawaqneh, Arafat Abu Mallouh, B.D. Barkana, Deep Neural Network Framework for Speaker′s Age and Gender Classification using I-Vector. Knowledge Based Systems, Volume 115, 1 January 2017, Pages 5–14. 10.1016/j.knosys.2016.10.008.

D. Barkana, Jingcheng Zhou, A new pitch-range based feature set for speakers age and gender classification. Applied Acoustics, Volume 98, Pages 52-61, November 2015.

Hmurcik, B.D. Barkana, N. Gupta, Two Case Studies: Real-life fatal burn case including smoke inhalation and fatal high-voltage electrical burn. International Journal of Advanced Research, 3(11):318-321, 2015.

Abuzaghleh, Omar, Buket D. Barkana, and Miad Faezipour, Noninvasive Real-Time Automated Skin Lesion Analysis System for Melanoma Early Detection and Prevention. IEEE Journal of Translational Engineering in Health and Medicine (JTEHM), 10.1109/JTEHM.2015.2419612, 2015.

Buket D. Barkana, Isam Hameed, Helen Ocbagabir, Burak Yildirim, Unsupervised blood vessel segmentation in retinal images by a novel vessel strengthening method and by a pixel tracking algorithm. Journal of Innovative Computing Information and Control (IJICIC), Vol.11 (1), pp.189-201, February 2015.

Abuzaghleh, Omar, Miad Faezipour, and Buket D. Barkana, Skincure: An Innovative Smart Phone-Based Application to Assist In Melanoma Early Detection and Prevention. Signal and Image Processing: An International Journal (SIPIJ), Vol.5, No.6, December 2014.

D. Barkana, N. Ngoh, A. Cook, Case Study: Development and Assessment of a STEM-Based Course for Teacher Educators. Education, Vol.3, No.3, 2013

D. Barkana, B. Uzkent, I. Saricicek, Normal and Abnormal Non-Speech Audio Event Detection Using MFCC and PR-Based Feature Sets. Advanced Materials Research, Management, Manufacturing, and Materials Engineering II, Vol. 601, 2013

B.D. Barkana, B. Uzkent, H. Cevikalp, Non-speech environmental sound classification using SVMs with a new set of feature parameters to improve recognition rates. Int. Journal of Innovative Computing Information and Control (IJICIC), 2012, Volume 8, Number 5(B), May 2012

Honors and Awards:
Best Faculty Poster Award, 2017: Ioana A. Badara, Shobhitha Sarab, Abhilash Medisetty, Allen P. Cook, Joyce Cook, & Buket D. Barkana, “The Influence of Emotional States on Short-Term Memory Retention by Using Electroencephalography (EEG) Measurements: A Case Study”, University of Bridgeport, Faculty Research Day, March 24, 2017.
Best Faculty Poster Award, 2016: Omar Abuzaghleh, Miad Faezipour, and Buket D. Barkana, SKINcure: An innovative Smart phone-based application to assist in melanoma early detection and prevention, Faculty Research Day, April 2016, University of Bridgeport, CT, USA.
Best Paper Award, 2015: M.M. Almi’ani, B.D. Barkana, “A Modified Region Growing Based Algorithm to Vessel Segmentation in Magnetic Resonance Angiography,” the 11th IEEE Long Island Systems, Applications and Technology Conference (IEEE LISAT2015), May 1, 2015, NY, USA.
Best Student Poster Award: Second Place, 2013: Isam Hameed, Helen Ocbagabir Sama Abdulmalik, B.D. Barkana, “Blood Vessel Segmentation in Retinal Images with a Novel Network Tracking Algorithm”, American Society of Engineering Education (ASEE) Northeast Section Conference, David Crawford School of Engineering, Norwich University, March 14-16, 2013.
Best Student Poster Award: Third Place, 2012: Tariq Abuzaghleh, B.D. Barkana, “A Computer-Aided Method for the Cobb Angle Measurement”, Poster Presentation, 2012 American Society of Engineering Education – Northeast Section Conference, University of Massachusetts, Lowell, April 28, 2012.
Best Student Paper Honorable Mention Award, 2009: Stark B., Advisor: BD Barkana, “Dual Architecture Implementation of Acoustic Echo Cancellation”, Advisor: Barkana B.D., Proceedings of the 2009 ASEE NE American Society for Engineering Education Conference, April 3-4, 2009.
Best Paper Nominee, 2009: B.D. Barkana, S. Patel, N. Gupta, and L. V. Hmurcik, “Using real-life cases to teach students about electric burns: Part 1 Secondary burns”, The Proceedings of the 2009 ASEE NE American Society for Engineering Education Conference, April 3-4, 2009.
Best Student Paper Nominee, 2009: Zheng M., Xeing W., Barkana B.D., An automatic text-dependent speaker verification system design using MATLAB”, The Proceedings of the 2009 ASEE NE American Society for Engineering Education Conference, April 3-4, 2009.
Best Student Paper Nominee, 2009: Yu L., Barkana B.D., “Speech Disorders: An analysis of hypernasal speech using signal processing techniques”, The Proceedings of the 2009 ASEE NE American Society for Engineering Education Conference, April 3-4, 2009.
Best Student Paper Award, Second Place, 2008: Bachu R., Adapa B.K., Kopparthi S., Barkana B.D., “Separation of Voiced and Unvoiced Speech Signals using Energy and Zero Crossing Rate”, ASEE Regional Conference, West Point, March 2008.
Honorable Mention Award, 2008: Bachu R., Deepawale D.S, “Emotional Speech Detection”, Advisor: Barkana B.D., ASEE Regional Conference, West Point, Poster Presentation, March 2008.
Best Student Poster Honorable Mention Award, 2009: Hirani N., Suhagiya V., “Speaker Identification System”, Advisor: Barkana B.D., ASEE NE Conference, Bridgeport, Poster Presentation, April 3-4, 2009.

Grants:
“Investigation of the influence of emotional states on memory retention, concentration, and learning by using Electroencephalograpgy (EEG) measurements”, PI: B. D. Barkana, Co-PIs: Joanna Badara, Allen Cook, Funding agency: University of Bridgeport Seed Grant, 2016. Amount: $6400.
“Planning for a Teacher Fellowship/Master Teacher Fellowship Program to serve high-Need Schools in Urban Southwestern Connecticut”. PI: I. Badara, Co-PIs: B. D. Barkana, N. Gupta, N. Ngoh, M. Gherasimova, Funding Agency: National Science Foundation (NSF), Robert Noyce Teacher Preparation Program, 2013. Amount: $192,347.
“SkinAid: A Real time image analysis system to aid in the malignant melanoma prevention and early detection”, PI: B. D. Barkana, Co-PI: Miad Faezipour, Funding agency: University of Bridgeport Seed Grant, 2013. Amount: $6000.
“K-12 STEM Teacher Program”, PI: B. D. Barkana; Co-PIs: Nelson Ngoh, Allen Cook, and Joanna A. Badara. Funding Agency: University of Bridgeport Seed Grant, 2012. Amount: $5,900.

Navarun Gupta, Ph.D.

Professor of Electrical Engineering, School of Engineering

Engineering – Technology Bldg – Office 138

(203) 576-4117

navarung@bridgeport.edu

Dr. Navarun Gupta is a Professor of Electrical Engineering at University of Bridgeport. He served as the Department Chair from 2013-2018. Dr. Gupta received his Ph.D. from Florida International University in Miami. He has two master’s degrees – one in Physics from Georgia State University and anothe...

Dr. Navarun Gupta is a Professor of Electrical Engineering at University of Bridgeport. He served as the Department Chair from 2013-2018. Dr. Gupta received his Ph.D. from Florida International University in Miami. He has two master’s degrees – one in Physics from Georgia State University and another in Electrical Engineering from Mercer University. Dr. Gupta’s research interests lie in signal processing, and its applications in audio and bio signals.

Education:
Ph.D., Electrical Engineering, Florida International University, 2003
M.S. Physics, Georgia State University, 1992
M.S. Electrical Engineering, Mercer University, 1998

Courses Taught:
Biosignal Processing
Communication Lab
Pattern Recognition
Satellite Communication
Introduction to Engineering
Fiber Optics Lab
Digital Signal Processing (both lab and lecture)
Senior Project
Signals and systems
Controls Lab

Journal Publications:
S. H. Ahammad, M. Z. U. Rahman, L. K. Rao, A. Sulthana, N. Gupta and A. Lay-Ekuakille, "A Multi-Level Sensor based Spinal Cord disorder Classification Model for Patient Wellness and Remote Monitoring," in IEEE Sensors Journal, doi: 10.1109/JSEN.2020.3012578.

M.B.H. Frej, J. Dichter, N. Gupta, “Lightweight Accountable Privacy-Preserving Protocol Allowing the Cloud Client to Audit the Third-Party Auditor for Malicious Activities”, Applied Sciences, Vol. 9, Issue 15, 3034, July 2019

Z. Nossire, N. Gupta, L. Almazaydeh, X. Xiong, “New Empirical Path Loss Model for 28 GHz and 38 GHz Millimeter Wave in Indoor Urban under Various Conditions”, Applied Sciences, Vol. 8, Issue 11, 2122, Nov. 2018

Hussain Alhassan, Navarun Gupta, “The Changes of Brain Signals by use of Meditation during Problem Solving”, International Journal of Scientific & Engineering Research, Volume 7, Issue 2, February-2016

Hussain Alhassan, Navarun Gupta, “Brain Signal Analysis of Meditation and its Impact on Concentration and Diluted Modes”, International Journal of Scientific & Engineering Research, Volume 7, Issue 2, February-2016

L. Hmurcik, B.D. Barkana, N. Gupta, “Two Case Studies: Real-life fatal burn case including smoke inhalation and fatal high-voltage electrical burn”, International Journal of Advanced Research, 3(11):318-321, 2015

N. Gupta, L.V. Hmurcik, M. Joshi, B. Dharmadhikari, “On the Analysis of the Laminar to Turbulent Flow Patterns in the Treatment of a Patient Receiving Oxygen”, International Journal of Applied Sciences (IJAS), Vol. 1, Issue 2, pp. 23-29, Dec 2010

M. Iyer, N. Gupta, T. Perrault “Automated Estimation of Neck Movement Angles using Image Processing Techniques”, International Journal of Advanced Research in Computer Science, Vol. 1, May-June 2010, pp. 15-18

B. D. Barkana, N. Gupta, L.V. Hmurcik, “Two Case Reports: Electrothermal (aka contact) burns and the effects of current density, application time, and skin resistance”, Burns Journal of the International Society for Burn Injuries, 2009 (http://dx.doi.org/10.1016/j.burns.2009.09.006)

Navarun Gupta, Carlos Ordóñez and Armando Barreto, "The Effect of Pinna Protrusion Angle in the Localization of Virtual Sound in the Horizontal Plane" (Abstract), Journal of the Acoustical Society of America, Vol. 110, No. 5, Part 2, November 2001, p. 2679

Omar Grafals, Navarun Gupta, Gualberto Cremades, Barreto, A. B., and Malek Adjouadi, "Decreased 3D-Sound Spatialization Accuracy Caused by Speech Bandwidth Limitation Over Commodity Audio Components", Biomedical Sciences Instrumentation, Vol.36, April 2000, pp. 245 – 250

P.J. Wiita, H.R. Miller, N. Gupta, S.K. Chakrabarti, “Accretion Disk Models for Microvariablity”, Cambridge University Press, Cambridge, pp. 311-319, 1992.

Books/ Chapters:
Book Title: Adaptive Filtering – Principles, Concepts and Applications.
Chapter: Speech Signal Conditioning for Mobile Applications Using Adaptive Filters.
Publisher: Nova. Published: 2019.

Book Title: Speech, Image and Language Processing for Human Computer Interaction.
Chapter: Improving Audio Spatialization Using Customizable Pinna Based Anthropometric Model of Head-Related Transfer Functions.
Publisher: IGI Global. Published: 2012

Book Title: Online Engineering, Publisher: Springer. Published Jan 2009.
Editors: Saikat Ray, Navarun Gupta, Tarek Sobh

Grants:
United Illuminating Company: Research on Energy Loss from a Failed Steam Trap. PI: M. Omidiora, N. Gupta and J. Hu. Amount: $11,020.05, Feb. 2018

Department of Education (Federal Award): Fairchild Wheeler Magnet Schools Project 2014. Co-PI: Developed course outlines for applied aerospace/ hydrospace mechanics and applied fluid mechanics courses.

NSF: Planning for a Teacher Fellowship/Master Teacher Fellowship Program to Serve High-Need Schools in Urban Southwestern Connecticut, PI: Ioana Badara, Co PI: Nelson Ngoh, Buket Barkana, Navarun Gupta, Jan-Dec 2014, Amount: $192,347

ENGAGE Everyday Examples in Engineering (E3) mini-grant program: PI’s: J. Hu, N. Gupta, M. Faezipour, March 2013, Amount: $2000

Ahmed El-Sayed, Ph.D.

PhD, MSCE, MSEM, BSEE

Assistant Professor of Electrical Engineering, Electrical Engineering Department

Technology Building, Room 138, 221 University Ave, Bridgeport, CT 06604

(203) 576-4571

aelsayed@bridgeport.edu

Dr. El-Sayed received the B.Sc. degree in electrical engineering from the Department of Electrical Engineering, Alexandria University, Egypt, in 2003, the M.Sc. degree in engineering mathematics from the Department of Engineering Mathematics and Physics, Alexandria University, in 2006, and the M.Sc....

Dr. El-Sayed received the B.Sc. degree in electrical engineering from the Department of Electrical Engineering, Alexandria University, Egypt, in 2003, the M.Sc. degree in engineering mathematics from the Department of Engineering Mathematics and Physics, Alexandria University, in 2006, and the M.Sc. and Ph.D. degrees in computer engineering from the Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, CT, USA, in 2011 and 2016, respectively. Currently, he is Assistant Professor of Electrical and Computer Engineering at the University of Bridgeport. He published articles in the fields of robotics, soft computing, and computer vision. His research interests include robotics, AI, fuzzy systems, soft computing, machine learning, pattern recognition, and computer vision. He is a member of IEEE, ASEE, the Honor Society of Phi Kappa Phi, the Honor Society for Computing and Information Disciplines Upsilon Pi Epsilon (UPE), and a lifetime member of the Egyptian Engineering Syndicate.

Education:

Ph.D. in Computer Science and Engineering, University of Bridgeport, Bridgeport, CT - May 2016
Master of Science in Computer Engineering, University of Bridgeport, Bridgeport, CT - May 2011
Master of Science in Engineering Mathematics, Alexandria University, Alexandria, Egypt - November 2006
Bachelor of Science in Electrical Engineering, Alexandria University, Alexandria, Egypt - July 2003

Courses Teaching:

CPEG 387/587: Embedded Systems Design
ELEG/CPEG 599: Introduction to Autonomous Vehicles
ELEG 317: Control Systems
CPSC 101: Introductory to Computing
ELEG 361: Controls Lab
ELEG 364: Programmable Logic Control
ELEG 236: Network Analysis II Lab

Publications:

Book Chapters

Ahmed A. ElSayed, Elif A. Kongar, and Surendra M. Gupta, "A Heuristic Approach for Disassembly Sequencing Problem for Robotic Disassembly Operations", in the book "Prototyping of Robotic Systems: Applications of Design and Implementation", by IGI Global Publishers. Editors: Tarek Sobh, Xingguo Xiong, ISBN10: 1466601760.

Journal Papers

Wei, Ruoqi; Garcia, Cesar; El-Sayed, Ahmed; Peterson, Viyaleta; Mahmood, Ausif “Variations in Variational Autoencoders - A Comparative Evaluation,” IEEE Access Journal, vol. 8, pp. 153651-153670, 2020, DOI: 10.1109/ACCESS.2020.3018151.
M. Aloudat, M. Faezipour, and A. El-Sayed, "Automated Vision-Based High Intraocular Pressure Detection Using Frontal Eye Images," in IEEE Journal of Translational Engineering in Health and Medicine, vol. 7, pp. 1-13, 2019.
Gazi Murat Duman; Ahmed El-Sayed; Elif Kongar; Surendra M. Gupta,” An Intelligent Multiattribute Group Decision-Making Approach With Preference Elicitation for Performance Evaluation,” IEEE Transactions on Engineering Management, DOI: 10.1109/TEM.2019.2900936.
Alshibli, M.; ElSayed, A.; Kongar, E.; Sobh, T. & Gupta, S. M., “A Robust Robotic Disassembly Sequence Design Using Orthogonal Arrays and Task Allocation,” Robotics, 2019.
Ahmed ElSayed, Elif Kongar, Ausif Mahmood, Tarek M. Sobh, Terrance Boult, " Neural Generative Models for 3D Faces with Application in 3D Texture Free Face Recognition" CoRR abs/1811.04358 (2018).
Al-Oudat, M.; Faezipour, M.; El-Sayed, A., “A smart intraocular pressure risk assessment framework using frontal eye image analysis”, EURASIP Journal on Image and Video Processing, Springer, 2018.
Carol Papp, Ruba S. Deeb, Christine Booth, Ahmed El-Sayed, Tina Freilicher, “Bridging medical simulation with computer science and engineering: A growing field of study”, Nurse Education Today, Volume 71, 2018, Pages 1-6.
Ahmed ElSayed, Elif Kongar, Ausif Mahmood, Tarek Sobh,” Unsupervised Face Recognition in the Wild using High Dimensional Features under Super Resolution Effect”, Springer Journal of Signal, Image and Video Processing (SIVP), Springer, 2018.
Mohammad Alshibli, Ahmed ElSayed, Elif Kongar, Tarek Sobh, "A Decision Maker-Centered End-of-Life Product Recovery System for Robot Task Sequencing", Journal of Intelligent & Robotic Systems, Springer, 2017.
Ahmed ElSayed, Ausif Mahmood, Tarek M. Sobh, "Effect of Super Resolution on High Dimensional Features for Unsupervised Face Recognition in the Wild". CoRR abs/1704.01464 (2017).
Ahmed ElSayed, Elif Kongar, Surendra M. Gupta. "Fuzzy Linear Physical Programming for Multiple Criteria Decision-Making Under Uncertainty." International Journal of Computers Communications & Control, 11.1 (2016): 26-38. Web. 15 Jan. 2016.
Alshibli, M.; ElSayed, A.; Kongar, E.; Sobh, T. M. & Gupta, S. M. "Disassembly Sequencing Using Tabu Search", Journal of Intelligent & Robotic Systems, 2016, 1-11.
Munther Abualkibash, Ahmed ElSayed, Ausif Mahmood, "Highly Scalable, Parallel and Distributed AdaBoost Algorithm using Light Weight Threads and Web Services on a Network of Multi-Core Machines", International Journal of Distributed and Parallel Systems (IJDPS) Vol.4, No.3, May 2013.
Ahmed ElSayed, Elif Kongar, Surendra Gupta, and Tarek Sobh, "A Robotic-Driven Disassembly Sequence Generator for End-Of-Life Electronic Products", the Journal of Intelligent and Robotic Systems, Springer, March 2012.
Ahmed ElSayed, Elif Kongar, Surendra Gupta and Tarek Sobh, "Robotized End-of-Life Product Disassembly", Robotics News, June 2012
Ahmed ElSayed, Elif Kongar, and Surendra M. Gupta, "An Evolutionary Algorithm for Selective Disassembly of End-of-Life Products", International Journal of Swarm Intelligence and Evolutionary Computation Vol. 1 (2012), Article ID Z110601, 7 pages.
M. Rizk, A. ElSayed, "Learning Air-To-Ground Integrated Fuzzy Guidance System Using Tabu Search", Ubiquitous Computing and Communication Journal (ISSN 1992-8424), UbiCC Journal, Volume 6: Issue 2, 15 April 2011.
M. Rizk, A. ElSayed, "Air-To-Ground Integrated Fuzzy Guidance System", Ubiquitous Computing and Communication Journal (ISSN 1992-8424), UbiCC Journal, Volume 6: Issue 2, 15 April 2011.

Conference Papers

Mohammad Aloudat, Miad Faezipour, Ahmed ElSayed, “High Intraocular Pressure Detection from Frontal Eye Images: A Machine Learning Based Approach”, Engineering in Medicine and Biology Conference (EMBC 2018), Honolulu, HI, USA, July 17-21, 2018.
Gazi Murat Duman, Ahmed ElSayed, Elif Kongar, " A Hybrid Multi-Attribute Decision Making (MADM) Approach for Performance Evaluation: A Food Industry Case Study", IISE annual conference and Expo (IISE 2018), Orlando, FL, May 19-22, 2018 (Invited Paper).
Ahmed ElSayed, Ausif Mahmood, Tarek Sobh, " Effect of Super Resolution on High Dimensional Features for Unsupervised Face Recognition in the Wild", Applied Imagery Pattern Recognition Workshop (AIPR 2017), Washington, DC, 10-12 October 2017.
ElSayed, Ahmed; Duman, Gazi; Tozanli, Ozden; Kongar, Elif, “Computer Vision Application for Environmentally Conscious Smart Painting Truck”, 14th International Conference on Remote Engineering and Virtual Instrumentation (REV 2017), Columbia University, New York, USA, 15-17 March 2017.
Gazi Murat Duman, Ozden Tozanli, Ahmed ElSayed, Elif Kongar, Surendra M. Gupta, "An Adaptable Disassembly Line Balancing Approach Using Multi-Objective Heuristics for Multi-Product Robotic Disassembly", IISE annual conference and Expo (IISE 2017), Pittsburg, PA, 20-23 May 2017 (Invited Paper).
Ahmed ElSayed, Ausif Mahmood, Tarek Sobh, "Unsupervised Sub-graph Selection and its Application in Face Recognition Techniques", in proceeding of the 2015 International Conference on Image Analysis and Recognition (ICIAR) Niagara Falls, Canada, July 22-24 2015.
ElSayed, A.; Elleithy, A.; Thunga, P.; Zhengping Wu, "Highly secure image steganography algorithm using curvelet transform and DCT encryption," in (LISAT), 2015 IEEE Long Island Systems, Applications, and Technology Conference, vol., no., pp.1-6, 1-1 May 2015.
Alshibli, M.; ElSayed, A.; Kongar, E.; Sobh, T. M. & Gupta, S. M. "Disassembly Sequencing Using Tabu Search", Northeast Decision Sciences Institute Conference, NEDSI 2015, Cambridge, MA, March 20-22 2015.
ElSayed, A.; Sobh, T.; Rizk, M., "Microcontroller Implementation of Fuzzy Guidance System", Student Poster, 2014 ASEE Northeast Section Conference, University of Bridgeport, Bridgeport, CT, April 3-5, 2014.
Ahmed ElSayed, Munther Abualkibash, Ausif Mahmood, "Improved Eigenface Algorithm for Large DataSets using Hierarchical Dissimilar Subgrouping", in proceeding of the 2012 International Conference of Image Processing, Computer Vision and Pattern Recognition, Las Vegas, NV, July 16-19 2012.
Ahmed ElSayed, Elif Kongar, Surendra Gupta, and Tarek Sobh, "An Online Genetic Algorithm for Automated Disassembly Sequence Generation", the 7th ASME/IEEE International Conference on Mechatronics & Embedded Systems & Applications (MESA 2011), August 28-31, 2011, Washington, DC, USA.
ElSayed, A., "A Simulation Model And Analysis For Energy And Resource Utilization: A Hands-On Engineering Education Project For The Digital Generation", Student Poster, 2010 ASEE Northeast Section Conference, Wentworth Institute of Technology, Boston, MA, May 7-8, 2010.
ElSayed, A., Kongar, E., Gupta, S.M., "A Genetic Algorithm Approach To End-Of-Life Disassembly Sequencing for Robotic Disassembly", Northeast Decision Sciences Institute Conference, NEDSI 2010, Hilton Alexandria Old Town, Alexandria, VA, March 26 -- March 28, 2010.

Xingguo (Michael) Xiong, Ph.D.

Associate Professor of Electrical and Computer Engineering, School of Engineering

Engineering – Technology Bldg – Office 140

(203) 576-4760

xxiong@bridgeport.edu

Xingguo Xiong is an associate professor in Department of Electrical and Computer Engineering, University of Bridgeport, CT. He obtained his B.S. in Physics in 1994 from Wuhan University, China. He obtained his first Ph.D. degree in Electrical Engineering in July 1999 from Shanghai Institute of Micro...

Xingguo Xiong is an associate professor in Department of Electrical and Computer Engineering, University of Bridgeport, CT. He obtained his B.S. in Physics in 1994 from Wuhan University, China. He obtained his first Ph.D. degree in Electrical Engineering in July 1999 from Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China. He obtained his second Ph.D. degree in Computer Engineering in July 2005 from University of Cincinnati, OH, USA. His research areas include MEMS (Microelectromechanical Systems), nanotechnology, as well as low power VLSI design and VLSI testing. He is the recipient of the 2009 Northeast ASEE (American Society of Engineering Education) Outstanding Teacher Award.

Education:
Ph.D., Computer Engineering, University of Cincinnati, August 2005
Ph.D., Electrical Engineering, Shanghai Institute of Microsystem and Information Technology (SMIT), Chinese Academy of Sciences, Shanghai, China, July 1999
B.S., Physics, Wuhan University, Wuhan, China, July 1994

Courses Taught:
BME/EE 547: BioMEMS (BioMicroelectromechanical Systems)
BME/EE-451: Introduction to Nanotechnology
EE-548: Low Power VLSI Circuit Design
EE-404: Digital VLSI
EE-458: Analog VLSI Circuit Design
EE-549: VLSI Testing
EE-550: Digital VLSI System Design
EE-448: Microelectronic Fabrication
EE-447: Semiconductors
EE-460: Control Theory
CPE/EE-286: Introduction to Microprocessors
EE348: Electronics

Publications:
BOOK CHAPTERS
Nicolae Gari, Xingguo Xiong, “Prototyping of UB Excavator for NASA Lunabotic Competition”, a chapter in the book, “Prototyping of Robotic Systems: Applications of Design and Implementation”. (ISBN10: 1466601760), Feb. 29, 2012, IGI Global publishing company.

Ramesh Ramadoss, Robert Dean, Xingguo Xiong, Chapter 13: “MEMS Testing”, in book: Laung-Terng Wang, Charles Stroud, and Nur A. Touba (Editors), “System-on-Chip Test Architectures (Systems on Silicon)”, Morgan Kaufmann Publishers, 2008, ISBN: 0123-73973-X, ISBN 13: 978-0123-73973-5, pp. 591-651.

PUBLICATIONS (SELECTIVE)
Nicolae Gari, Xingguo Xiong, “Prototyping of UB Excavator for NASA Lunabotic Competition”, a chapter in the book, “Prototyping of Robotic Systems: Applications of Design and Implementation”. (ISBN10: 1466601760), Feb. 29, 2012, IGI Global publishing company.

Xingguo Xiong, Hanyu Xie, “MEMS Dual-mode Electrostatically Actuated Micromirror”, Professional Paper in 2014 ASEE (The American Society for Engineering Education) Zone 1 Conference, April 3-5, 2014, University of Bridgeport, Bridgeport, CT.

Xingguo Xiong, Lidong Qiang, Linfeng Zhang, Junling Hu, “MEMS Dual Axis Accelerometer with H-T Shape Structure”, Proc. of IEEE International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE’13), Dec. 12-14, 2013.

Umatri Pradhananga, Xingguo Xiong, Linfeng Zhang, “PSPICE Implementation of Block-wise Shut-down Technique for 8×8 bit Low Power Pipelined Booth Multiplier”, Proc. of IEEE International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE’13), Dec. 12-14, 2013.

Xingguo Xiong, Huanyu Li, “High-Linearity MEMS Accelerometer with Lateral Comb Finger Groups”, Proc. of IEEE International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE’13), Dec. 12-14, 2013.

Xingguo Xiong, Haifeng Dong, “Design of a MEMS Gyroscope with Glass-Silicon-Glass Sandwich Structure”, Journal of Micro and Nanosystems, Vol. 3, No. 1, 2011.

X. Xiong, Y. Wu, and W. Jone, “Material Fatigue and Reliability of MEMS Accelerometers”, Proc. of 23rd IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems (DFT’08), Cambridge (MA), USA, Oct. 1-3, 2008.

Honors and Awards:
Wei Zhan, Xingguo Xiong, Prabir Patra, Junling Hu, Chengsi Li, “COMSOL Simulation of MEMS Piezoelectrically Actuated Micropump”, 1st prize of Graduate Student Poster in 2014 University of Bridgeport Faculty Research Day, March 28, 2014, University of Bridgeport, Bridgeport, CT.
Ruoxu Jia, Junling Hu, Xingguo Xiong, Linfeng Zhang, “Shape optimization design and material selection for a fitness equipment”, Honorable Mention award of Student Poster in 2014 ASEE (The American Society for Engineering Education) Zone 1 Conference, April 3-5, 2014, University of Bridgeport, Bridgeport, CT.
Vinothini Velusamy, Xingguo Xiong, “Design of 8-bit Carry-Skip Adder Using Reversible Gates”, “Design and Simulation of an 8-bit Memory-less Pipelined Full Adder”, honorable mention award in 2011 ASEE (The American Society for Engineering Education) Northeast Section Conference, April 29-30, 2011, Hartford, CT.
Ming Xia, Xingguo Xiong, “Theoretical Analysis of a Nanosensor based on WO3-coated Carbon Nanotube for Ultra-high Sensitive Breath Acetone Sensing”, honorable mention award in 2011 ASEE (The American Society for Engineering Education) Northeast Section Conference, April 29-30, 2011, Hartford, CT.
Recipient of 2009 Northeast ASEE (American Society of Engineering Education) Outstanding Teacher Award, Apr. 3, 2009.
Recipient of honorable mentions award for research paper in ASEE’09 conference: Hassan Bajwa, Prabir Patra, Xingguo Xiong, “Nanotechnology Curriculum Initiative in Connecticut”, 2009 Northeast ASEE Conference, Bridgeport, CT, Apr. 3-4, 2009.
2nd place prize winner in ASEE’09 student best poster competition: Yang Yang, Xingguo Xiong, “Gated clock technique for low power VLSI design”, 2009 Northeast ASEE Conference, Bridgeport, CT, Apr. 3-4, 2009.
8. Honorable mention award winner in ASEE’09 student best poster competition: Vignesh Veerapandian, Xingguo Xiong, “Design of Efficient SOC-Based Multi-Core System Using NOC”, 2009 Northeast ASEE Conference, Bridgeport, CT, Apr. 3-4, 2009.
2nd place prize winner in ASEE’08 student best poster competition: Bhushan V. Dharmadhikari, Xingguo Xiong, “Stiction Fault Simulation of MEMS Comb Accelerometer”, ASEE Zone 1 Conference 2008, United States Military Academy, West Point, NY, Mar. 28-29, 2008.
3rd place prize winner in ASEE’08 student best poster competition: Haifeng Dong, Xingguo Xiong, “Design and Fabrication of a Bulk-micromachined MEMS Accelerometer”, ASEE Zone 1 Conference 2008, United States Military Academy, West Point, NY, Mar. 28-29, 2008.
Honorable mentions award in ASEE’08 student best poster competition: Xiaoping Li, Xingguo Xiong, “Power Comparison of CMOS and Domino Full-adders”, ASEE Zone 1 Conference 2008, United States Military Academy, West Point, NY, Mar. 28-29, 2008.

Grants:
Xingguo Xiong, Gould K450B Logic Analyzer (ERLE Item Control Number: 89514103420083), Energy-Related Laboratory Equipment (ERLE) grant by U.S. Department of Energy (DOE), 01/16/2011. Status: approved, original acquisition cost of the received equipment: $20,016.77.
Class-on-a-chip MEMS education kit received from Texas Tech University (Dr. Tim Dallas) as part of a research collaboration. Received on 09/01/2010.
Funding from US Department of Energy (DoE) under program of Strategic Training and Education in Power Systems (STEPS – Topic A), Funding Opportunity Number: DE-FOA-0000152 entitled Workforce Training for the Electric Power Sector. The proposal was submitted by a Nationwide Consortium of Universities, led by the University of Minnesota, to Revitalize Electric Power Engineering Education by State-of-the-Art Laboratories, of which Prof. Linfeng Zhang and Prof. Xingguo Xiong are joint representatives of University of Bridgeport as a member of the consortium. Status: funded on 04/08/2010 for 3 years, Recovery Act Funding received: $2,500,000. Total project value including cost share: $4,175,423, funds received from University of Bridgeport (Prof. Xingguo Xiong and Professor Zhang): $37,500 ($25,000 from the consortium and $12,500 matching fund from University of Bridgeport).
ESMD (Exploration Systems Mission Directorate) National Design Challenge Project Grant from NASA Connecticut Space Grant College Consortium. The grant was awarded to UB excavator team for NASA 1st lunabotics mining competition in Kennedy Space Center, FL on May 27-28, 2010. Status: funded, Funding amount: $8776.42 (Among it, $4500 was from NASA CT Space consortium, and $4276.42 from UB School of Engineering).
Xingguo Xiong (PI), Linfeng Zhang (co-PI), Hassan Bajwa (co-PI), “A Bulk-micromachined MEMS Comb Vibratory Gyroscope”, UB seed money grant proposal, funding agency: University of Bridgeport, Period: 05/2009 – 05/2010, funding: $6930.00.
Hassan Bajwa (PI), Xingguo Xiong (co-PI), “Dynamically Configured, Low Power SRAM Design”, UB seed money grant proposal, funding agency: University of Bridgeport, Period: 05/2009 – 05/2010, funding: $6650.00.
Linfeng Zhang (PI), Angela Santiago (co-PI), Xingguo Xiong (co-PI), “Integration of the platinum nanoparticles and carbon nanotubes in silicon-based micro fuel cell and silicon-based chemical/biological sensor”, UB seed money grant proposal, funding agency: University of Bridgeport, Period: 05/2009 – 05/2010, funding: $6864.00
Xingguo Xiong, HP/Agilent 3457A Digital Multimeter (ERLE Item Control Number: 89480891310015), Energy-Related Laboratory Equipment (ERLE) grant by U.S. Department of Energy (DOE), 08/04/2009. Status: approved, original acquisition cost of the received equipment: $10,000.00.