Khaled M. Elleithy

Khaled M. Elleithy received a B.Sc. degree in computer science and automatic control and an M.S. degree in computer networks from Alexandria University in 1983 and 1986, respectively, as well as M.S. and Ph.D. degrees in computer science from the Center for Advanced Computer Studies, University of Louisiana- Lafayette in 1988 and 1990, respectively. He is the Associate Vice President for Graduate Studies and Research with the University of Bridgeport. He is a Professor of Computer Science and Engineering. His research interests include wireless sensor networks, mobile communications, network security, quantum computing, and formal approaches for design and verification. He has published more than 350 research papers in national/international journals and conferences in his areas of expertise. He is the Editor or Co-Editor of 12 books published by Springer. Dr. Elleithy has more than 25 years of teaching experience. He was a recipient of the Distinguished Professor of the Year, University of Bridgeport, from 2006 to 2007. He has supervised hundreds of senior projects, M.S. theses, and Ph.D. dissertations. He has developed and introduced many new undergraduate/graduate courses. He has also developed new teaching/research laboratories in his area of expertise. His students have won more than 20 prestigious national/international awards from the IEEE, ACM, and ASEE. Dr. Elleithy is a member of the technical program committees of many international conferences as recognition of his research qualifications. He has served as a Guest Editor for several international journals. He was Chairperson for the International Conference on Industrial Electronics, Technology and Automation. Furthermore, he is the Co-Chair and Co-Founder of the Annual International Joint Conferences on Computer, Information, and Systems Sciences and Engineering Virtual Conferences from 2005 to 2014.

Associated articles

JTEHM, Articles, Published Articles
A Multi-Anatomical Retinal Structure Segmentation System for Automatic Eye Screening Using Morphological Adaptive Fuzzy Thresholding
   Abstract Eye exams can be as efficacious as physical ones in determining health concerns. Retina screening can be the very first clue to detecting a variety of hidden health issues including pre-diabetes and diabetes. Through the process of clinical diagnosis and... Read more