Ammar Ahmed Alkahtani

Also published under:Ammar A. Alkahtani

Affiliation

Electrical and Electronics Engineering Department, College of Engineering, Universiti Tenaga Nasional, Kajang, Malaysia
Renewable Energy Engineering Department, Fahad Bin Sultan University, Tabuk, Saudi Arabia

Topic

Renewable Energy,Renewable Energy Sources,Renewable Sources,Wireless Networks,Adaptive Neuro-fuzzy Inference System,Artificial Neural Network,Body Area Networks,Diesel Generators,IEEE Standard,Photovoltaic System,Power Consumption,Power Quality,Secondary Electron Emission,Smart Grid,Wind Farm,Wind Power,Wireless Body Area Networks,3D Position,5G Networks,Access Control,Access To Electricity,Accurate Mapping,Achievable Rate,Actuator,Ad Hoc Networks,AdaBoost Classifier,Analog-to-digital Converter,Annual Energy,Antenna Pair,Arabic Numbers,Arrival Time,Artificial Neural Network Classifier,Aspects Of Function,Automated Teller Machines,Automatic Identification System,Average Speed,Average Wind Speed,Azimuth Angle,Base Station,Beating Rate,Binary Phase Shift Keying,Bluetooth,Broadband,Capital Expenses,Cellular Networks,Central Hub,Central Model,Channel Model,Classification Test,Clean Development Mechanism,

Biography

Ammar Ahmed Alkahtani (Senior Member, IEEE) received the bachelor’s degree (Hons.) in electronics majoring in telecommunications from Multimedia University (MMU), the master’s degree in electronics engineering (telecommunication system) from the Universiti Teknikal Malaysia Melaka, in 2011, and the Ph.D. degree from the College of Engineering (COE), Universiti Tenaga Nasional (UNITEN), Malaysia, in 2015. He is currently a Senior Lecturer with the Energy University (UNITEN), Malaysia, and the Head of the Wind Energy Unit. His research interests include signal processing, renewable energy, failure analysis, and applied machine learning.