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M. Ahmed
Also published under:M. S. Ahmed
Affiliation
Center for Applied Physical Sciences, Research Institute, King Fahd University of Petroleum and Minerals, Saudi Arabia
Topic
Artificial Neural Network,Acoustic Signals,Additive Noise,Artificial Neural Network Classifier,Atmospheric Attenuation,Classification Performance,Doppler Shift,Hidden Layer,Linear Prediction,Neural Network,Nonlinear Function,Parametrized,Pattern Classification,Presence Of Noise,Reflection Coefficient,Unit Circle,Vortex Shedding,Adaptive Algorithm,Adaptive Control,Adaptive Control Algorithm,Analog-to-digital Converter,Angular Velocity,Application Of Voltage,Artificial Neural Network Training,Background Noise,Backpropagation Algorithm,Bias Term,Breakdown Strength,Bridge Rectifier,Capacitor Charging,Charge Density,Chord Length,Clean Data,Comparable Yields,Control Parameters,Control Structure,Current Characteristics,Current Flow,Current Sensor,DC Conductivity,DC Link,DC Voltage,Dc Supply,Dc-link Capacitor,Dc-link Voltage,Decay Time,Dielectric Breakdown,Direct Adaptive Control,Driver Circuit,Effect Of Noise,
Biography
M. Ahmed is a Senior Research Scientist at the Research institute, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia. He obtained his Ph. D. degree in Experimental Nuclear Physics from University of Birmingham, England. His present research interests include materials analysis using nuclear techniques in a variety of fields. He is currently conducting a research project on the study of water trees in HV cables using the micro-PIXE technique.