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Ahmed Abdelmoaty
Affiliation
Software and IT Engineering Department, École de Technologie Supérieure (ETS), University of Québec, Montreal, Canada
Al-Azhar University, Egypt
Al-Azhar University, Egypt
Topic
Base Station,Backhaul Network,Network Resilience,Optimization Problem,Poisson Process,Wireless,Wireless Backhaul,Wireless Networks,5G New Radio,Carrier Frequency,Carrier Frequency Offset,Carrier Frequency Offset Estimation,Convolutional Neural Network,Cyclic Prefix,Data-driven Estimation,Decision Variables,Gradient Boosting Machine,Hierarchical Design,Integer Linear Programming Formulation,Integer Linear Programming Problem,Line-of-sight,Long Short-term Memory,Machine Learning Techniques,Mean Absolute Percentage Error,Mobile Network,Mobile Operators,Neural Network,Objective Function,Offset Estimation,Orthogonal Frequency Division Multiplexing,Path Loss,Problem Statement,Role Of Nodes,Subcarrier Spacing,Synchronization Signal,Unmanned Aerial Vehicles,Wireless Backhaul Networks,2D Location,3D Position,Aggregation Function,Altitude,Artificial Neural Network,Backhaul Links,Baseline Schemes,Betweenness Centrality,Central Node,Centroid,Channel Estimation,Channel Impulse Response,Cloud Radio Access Network,
Biography
Ahmed Abdelmoaty (Member, IEEE) received the B.S. degree in electronics and telecommunications engineering from Al-Azhar University, Cairo, Egypt, in 2004, the M.S. degree in electrical engineering from the King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, in 2017, and the Ph.D. degree from École de Technologie Supérieure (ETS), University of Quebec, Canada, in 2022. Currently, he is a Postdoctoral Fellow with the Electrical Engineering Department, ETS. His research interests include wireless communications, network design, machine learning, and RF propagation.