Ahmed S. Alfakeeh

Affiliation

Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, KSA

Topic

Neural Network,Convolutional Neural Network,Deep Learning,Adaptive Neuro-fuzzy Inference System,Advanced Driver Assistance Systems,Artificial Neural Network,Deep Belief Network,Deep Neural Network,Driver Distraction,Face Orientation,Fuzzy Rules,Long Short-term Memory,Long Short-term Memory Network,Recurrent Neural Network,Action Recognition,Adaptive Fuzzy Control,Angular Velocity,Automated Guided Vehicles,Automatic Learning,Autonomous Vehicles,Average Accuracy,Averaging Technique,Avoidance Mechanisms,Back Propagation Neural Network,Bayesian Information Criterion,Bayesian Information Criterion Values,Bayesian Model,Blind Source Separation,Brain Activity,Breast Cancer,Breast Cancer Screening,Cancer Classification,Cancer Screening,Cancer Treatment,Cell Phone Usage,Change Projections,Classification Accuracy,Classification Datasets,Classification Of Breast Cancer,Classifier For Analysis,Clinical Datasets,Clinical Expertise,Clinical Trials,Confusion Matrix,Contextual Data,Contribution Of Elements,Control System,Convolutional Neural Network Model,Cost Overruns,DC Motor,

Biography

Ahmed S. Alfakeeh received the degree in computer science from King Abdulaziz University, in 2005, the M.Sc. degree in IT from De Montfort University, in 2010, and the Ph.D. degree from the Software Technology Research Laboratory, a research institute established within, De Montfort University, Leicester, U.K., in 2015. He is currently an Assistant Professor with the Information System Department, Faculty of Computing and Information Technology, King Abdul Aziz University, Jeddah, Saudi Arabia. He is also the Vice Dean of the Research and Consultation Institute for Development. His research projects involve feature interactions detection and resolution in context-aware systems, smart homes systems, software engineering, the Internet of Things (IoT), and data science.