Khaled Elleithy

Also published under:Khaled M. Elleithy, K. M. Elleithy, K. Elleithy

Affiliation

Department of Computer Science & Engineering, University of Bridgeport, Bridgeport, CT

Topic

Convolutional Neural Network,Machine Learning,Neural Network,Quantum Computing,Classical Computer,Convolutional Layers,Generative Adversarial Networks,Quantum Circuit,Quantum State,Activation Function,Artificial Neural Network,Assistive Technology,Classification Network,Computer Vision,Convolutional Neural Network Model,Decision Tree,Digital Images,Face Images,Facial Expressions,Gradient Boosting,Learning Algorithms,Neural Network Classifier,Object Detection,Qubit State,Random Forest,Secret Key,Support Vector Machine,Training Set,Video Frames,Visual Impairment,1D Convolutional Neural Network,Access Control,Active Devices,Actual Size,AdaBoost,Advanced Machine Learning,Age Of Technology,Analysis Of EEG Signals,Arabic Text,Artificial Intelligence,Attention Mechanism,Audio Files,Background Subtraction,Basic Conditions,Binary Classification,Binary Data,Biometric Identification,Biometric Systems,Blind Individuals,Bounding Box,

Biography

Khaled M. Elleithy Dr. Elleithy is the Associate Dean for Graduate Studies in the School of Engineering at the University of Bridgeport. He has research interests are in the areas of network security, mobile communications, and formal approaches for design and verification. He has published more than two hundred and fifty research papers in international journals and conferences in his areas of expertise.
Dr. Elleithy is the co-chair of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE). CISSE is the first Engineering/Computing and Systems Research E-Conference in the world to be completely conducted online in real-time via the internet and was successfully running for six years. Dr. Elleithy is the editor or co-editor of 12 books published by Springer for advances on Innovations and Advanced Techniques in Systems, Computing Sciences and Software.