Islam Hegazy

Also published under:I. M. Hegazy

Affiliation

Department of Computer Science, Faculty of Computer and Information Science, Ain Shams University, Cairo, Egypt

Topic

Artificial Neural Network,Bidirectional Long Short-term Memory,Convolutional Neural Network,Long Short-term Memory,Machine Learning,Recurrent Neural Network,Acoustic Features,Acoustic Model,Adaptive Technique,Adaptive Threshold,Android Application,Android Devices,Anomaly Detection,Arabic Speech,Artificial Intelligence,Automatic Speech,Automatic Speech Recognition System,Botnet Detection,Cloud Computing,Cloud-based System,Confusion Matrix,Crop Management,Crop Monitoring,Crop Yield,Cropped Images,Data Pre-processing,Decision Boundary,Decision Tree,Deep Belief Network,Deep Learning,Deep Neural Network,Depthwise Convolution,Discriminant Criterion,Distributed Denial Of Service,Dynamic Analysis,Dynamic Characteristics,F1 Score,Feed-forward Network,Gated Recurrent Unit,Gaussian Mixture Model,Generative Adversarial Networks,Google Play,Gradient Boosting,Hidden Markov Model,Human-machine Interaction,ImageNet Dataset,Information Leakage,Internet Of Things,Internet Of Things Devices,Internet Of Things Networks,

Biography

Islam Hegazy received the B.Sc. and M.Sc. degrees from the Faculty of Computer and Information Sciences (FCIS), Ain Shams University (ASU), and the Ph.D. degree from the University of Calgary, Calgary, AB, Canada. He is currently an Associate Professor with the Department of Computer Science, FCIS, ASU. He acquired several managerial skills as the CIO of ASU, the Director of the Scientific Computing Center, FCIS, and the coordinator of the Software Engineering Credit Hours Program, FCIS. He has more than 23 years of experience in research and teaching in many fields in computer science. His research interests include networks, security, cloud computing, the IoT, image processing, and AI.