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Ahmed Nasser
Also published under:
Affiliation
Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division at, King Abdullah University of Science and Technology (KAUST), Thuwal, KSA
Topic
Channel State,Communication Users,Integrated Sensing And Communication,Joint Power Allocation,Non-orthogonal Multiple Access,Radar Echo,Resource Block,Successive Interference Cancellation,32-bit Floating-point,Additive Noise,Angle Of Arrival,Architectural Design,Bandit Problem,Beamforming,Bias Values,Channel Estimation,Cloud Radio Access Network,Combinatorial Nature,Comma-separated Values,Common Name,Communication Systems,Convolutional Layers,Convolutional Neural Network,Convolutional Neural Network Architecture,Convolutional Neural Network Model,Cramer-Rao Lower Bound,Decoding,Decoding Order,Deep Learning,Deep Reinforcement Learning,Degrees Of Freedom,Discrete Fourier Transform,Echo Signal,Exhaustive Search,Feature Maps,Graphics Processing Unit,Grayscale Pixel,Hardware Accelerators,High Throughput,Information Bits,Input Image,Interference Management,Internet Of Things,Learning Algorithms,Lookup Table,MNIST Dataset,Mobile Network,Multi-armed Bandit,Multiple Access,Neural Network,
Biography
Ahmed Nasser [M] received the M.Sc. degree in electronics and communications engineering from the Egypt-Japan University of Science and Technology (E-JUST), Egypt, in 2016, and the double Ph.D. degree from Kyushu University, Fukuoka, Japan, and E-JUST, Egypt, in2020. He is currently a postdoctoral fellow at king Abdullah University of science and technology (KAUST), Saudi Arabia. Ahmed is also a lecturer at faculty of Engineering, Suez Canal University, Egypt. His research interests include ISAC, HetNets interference management, NOMA, mMIMO channel estimation, interference alignment, digital signal processing, and emerging technologies for 6G wireless networks.