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Mohamed Akrout
Also published under:
Affiliation
Department of ECE, University of Manitoba, Winnipeg, Canada
Topic
Communication Systems,Achievable Rate,Antenna Size,Additive Noise,Impedance Matrix,Multiple-input Multiple-output,Mutual Coupling,Mutual Coupling Effect,Physical Constraints,Wireless Systems,Antenna Array,Channel Estimation,Deep Neural Network,Mutual Information,Parallel Configuration,Size Constraints,Circuit Theory,Communication Channels,Factor Graph,Input-output Relationship,Low-noise Amplifier,Maximum Achievable Rate,Message Passing,Rayleigh Fading Channel,SNR Values,Voltage Noise,Antenna Array Design,Array Design,Base Station,Circuit Model,Communication Rate,Compact Antenna,Coupling Conditions,Deep Learning,Design Of Communication Systems,Domain Shift,Electromagnetic Field,Equivalent Circuit,Fading Channel,Far-field,Gain Bandwidth,Gaussian Noise,Gradient Ascent,Information Bits,Input Port,Joint Pdf,Line-of-sight Channel,Massive Multiple-input Multiple-output,Massive Multiple-input Multiple-output Systems,Mean Square Error,
Biography
Mohamed Akrout ([email protected]) received a B.E. degree in Computer Engineering from Ecole Polytechnique de Montreal, Montreal, Canada, and the “Diplome d'Ingenieur” degree from Telecom ParisTech (ENST), Paris, France, both in 2016. He received an M.S. degree in artificial intelligence from University of Toronto, Toronto, Canada, in 2018. He is a Ph.D. candidate in the Department of Electrical and Computer Engineering at the University of Manitoba, Winnipeg, Canada. He was the recipient of the doctoral scholarship from the Natural Sciences and Engineering Research Council of Canada (NSERC) in 2022. His current research interests include domain generalization for deep learning models, signal processing for inverse problems, and physically-consistent antenna design.