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Ibrahim Al-Nahhal
Also published under:
Affiliation
Memorial University, Canada
Topic
Hidden Layer,Computational Complexity,Neural Network,Accurate Estimation,Channel Estimation,Flat Layer,Training Dataset,User Equipment,Accurate Identification,Additional Number,Autocovariance Function,Cell Signaling,Cellular Types,Communication Signals,Communication Systems,Convolutional Layers,Convolutional Neural Network,Deep Neural Network,Dense Layer,Direct Channel,Discrete Fourier Transform Matrix,Estimation Approach,Estimation Performance,Estimation Problem,Feed-forward Network,Gated Recurrent Unit,Identification Of Signals,Input Features,Input Layer,Input-output Pairs,Intelligent Reflecting Surface,Intelligent Reflecting Surface Elements,Joint Estimation,Least Squares Estimation,Literature Estimates,Normalized Mean Square Error,Optical Fiber,Output Layer,Power Spectral Density,Signal-to-noise Ratio Conditions,Single Hidden Layer,Standard Single-mode Fiber,Types Of Inputs,Types Of Pairs,Wavelength Division Multiplexing,Wireless,Accuracy Metrics,Acquisition Mode,Adaptive Equalization,Amplified Spontaneous Emission,
Biography
Ibrahim Al-Nahhal (Senior Member, IEEE) received the B.Sc. degree (Hons.) from Al-Azhar University, Cairo, Egypt, in 2007, the M.Sc. degree from Egypt-Japan University for Science and Technology, New Borg El Arab, Egypt, in 2014, and the Ph.D. degree from Memorial University, St. John’s, NL, Canada, in 2020, all in electronics and communications engineering.
From 2008 to 2012, he was an Engineer in industry and a Teaching Assistant at the Faculty of Engineering, Al-Azhar University. From 2014 to 2015, he was a Physical Layer Expert at Nokia (formerly Alcatel-Lucent), Antwerp, Belgium. He has been a Research Associate and a Per-Course Instructor at Memorial University since 2021. He holds three patents. He has coauthored 30+ peer-reviewed journals articles and conference papers in top-ranked venues. His research interests include reconfigurable intelligent surfaces, full-duplex communications, integrated sensing and communication, channel estimation, machine learning, design of low-complexity receivers for emerging technologies, spatial modulation, multiple-input multiple-output communications, sparse code multiple access, and optical communications.
Dr. Al-Nahhal served as a technical program committee member and a reviewer for various prestigious journals and conferences. He was recognized as the Exemplary Reviewer of IEEE Communications Letters in 2017. He serves as an Editor for IEEE Wireless Communications Letters.
From 2008 to 2012, he was an Engineer in industry and a Teaching Assistant at the Faculty of Engineering, Al-Azhar University. From 2014 to 2015, he was a Physical Layer Expert at Nokia (formerly Alcatel-Lucent), Antwerp, Belgium. He has been a Research Associate and a Per-Course Instructor at Memorial University since 2021. He holds three patents. He has coauthored 30+ peer-reviewed journals articles and conference papers in top-ranked venues. His research interests include reconfigurable intelligent surfaces, full-duplex communications, integrated sensing and communication, channel estimation, machine learning, design of low-complexity receivers for emerging technologies, spatial modulation, multiple-input multiple-output communications, sparse code multiple access, and optical communications.
Dr. Al-Nahhal served as a technical program committee member and a reviewer for various prestigious journals and conferences. He was recognized as the Exemplary Reviewer of IEEE Communications Letters in 2017. He serves as an Editor for IEEE Wireless Communications Letters.