Sultan M. Alanazi

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Affiliation

Department of Computer Science, College of Science, Northern Border University, Arar, Saudi Arabia

Topic

Deep Learning,F1 Score,Machine Learning,Neural Network,Deep Belief Network,Deep Neural Network,Extreme Learning Machine,Feature Selection Techniques,Hidden Layer,Input Layer,Intrusion Detection System,Linear Discriminant Analysis,Machine Learning Techniques,Multilayer Perceptron,Optimization Algorithm,Recurrent Neural Network,Support Vector Machine,Adaptive Learning,Adaptive Model,Adaptive Window,Amazon EC2,Application Programming Interface,Artificial Neural Network,Attack Vector,Back Propagation Neural Network,Banking Sector,Banking Services,Banking System,Batch Learning,Batch Size,Benign Samples,Binary Files,Body Mass Index,Class Labels,Classification Accuracy,Cloud Computing,Cloud Environment,Cloud-based System,Common Threat,Concept Drift,Concept Drift Detection,Control Techniques,Convolutional Layers,Convolutional Neural Network,Crayfish,Cyber Operations,Cyber-physical Systems,Cybercrime,Data Mining,Data Pre-processing,

Biography

Sultan M. Alanazi is an Assistant Professor and Head of the Department of Computer Science at Northern Border University, Saudi Arabia. He holds a Ph.D. degree in computer science and the master’s degree in IT from The University of Nottingham, UK, where he also worked as a Teaching Assistant with extensive experience in information technology. He has published several research papers in esteemed international journals and conferences. His research interests include AI, machine learning, natural language processing, cybersecurity, and recommender systems. EOD