Fahad R. Albogamy

Also published under:Fahad Albogamy

Affiliation

Turabah University College, Computer Sciences Program, Taif University, Taif, Saudi Arabia

Topic

Optimization Algorithm,Actual Cost,Air Gap,Ant Colony,Ant Colony Optimization,Ant Colony Optimization Algorithm,Benchmark Datasets,Canis Lupus,Convolutional Neural Network,Copper Loss,Cost Path,Coupling Coefficient,Critical Infrastructure,Current Node,Cyber-attack Detection,Cyber-physical Systems,Dc Component,Deep Learning,Deep Neural Network,Denial Of Service,Dual Stator,Edge Path,Evaluation Of Function,Excitation Conditions,Exploitation And Exploration,Extreme Learning Machine,False Data Injection Attacks,Fault-tolerant,Fault-tolerant Capability,Feature Selection Algorithm,Feature Subset,Ferritic,Flux Linkage,Foraging,Gated Recurrent Unit,Harmonic Spectrum,Hidden Layer,Hyperparameter Tuning,Intrusion Detection,Intrusion Detection System,Key Performance Parameters,Knapsack Problem,Leakage Flux,Linear Machine,Long Short-term Memory,Machine Cost,Machine Learning Methods,Machine Parts,Malware,Mathematical Analysis,

Biography

Fahad R. Albogamy received the B.Sc. degree (Hons.) in information systems from King Saud University, in 2003, and the M.Sc. and Ph.D. degrees (Hons.) in computer sciences from Manchester University, U.K., in 2010 and 2017, respectively. He worked as a Consultant for academics affairs at the University Vice Presidency for Academic Affairs and Development, Taif University. He was the first Dean of the Applied Computer Sciences College, King Saud University. He is currently an Associate Professor of computer sciences. He is also an Advisor to the President of Saudi Electronic University. His research interests include artificial intelligence, big data, machine learning, NLP, digital image, signal processing, and smart energy.