Mohammed A. M. Abdullah

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Affiliation

Department of Computer and Information Engineering, Ninevah University, Mosul, Nineveh, Iraq

Topic

Singular Value Decomposition,Digital Watermarking,Discrete Cosine Transform,Medical Imaging,Wavelet Transform,Channel Estimation,Common Attacks,Cover Image,Deep Learning,Deep Neural Network,Digital Images,Discrete Fourier Transform,Histogram Equalization,Jamming Signal,Least Significant Bit,Magnetic Resonance Imaging,Mean Square Error,Peak Signal-to-noise Ratio,Peak Signal-to-noise Ratio Values,Pepper Noise,Perception Of Quality,Quality Factor,Secrecy Performance,Singular Value,Access Points,Active Eavesdropper,Additive Noise,Adversarial Attacks,AlexNet,Arnold’s Cat Map,Average F1-score,Average Precision,Average Recall,Beamforming,Beamforming Vector,Bit Error,Bit Error Rate,Bit Error Rate Performance,Bottom Of Page,Cat Map,Cell-free Massive Multiple-input Multiple-output,Cell-free System,Cepstral Coefficients,Channel Estimation Algorithm,Channel Gain,Channel Impulse Response,Classification Accuracy,Communication Protocol,Communication Systems,Computational Efficiency,

Biography

Mohammed A. M. Abdullah (M’10) received the B.Sc. and M.Sc. degrees in computer engineering from Iraq, in 2008 and 2010, respectively, and the Ph.D. degree from the School of Electrical and Electronic Engineering, Newcastle University, U.K., in 2017. Since 2017, he has been a Research Fellow of the Department of Computer Science, University of St Andrews. He was a Postdoctoral Researcher with the Department of Engineering, The University of Leicester, U.K. He is currently a Lecturer with the Department of Computer Engineering, Ninevah University. His research interests include the fields of pattern recognition, machine learning, signal processing, and wireless communication. He is a member of the International Biometric Society (IBS) and the British Machine Vision Association (BMVA). He is also an Associate Fellow of the U.K. Higher Education Academy (AFHEA).