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Jamshid Abouei
Also published under:jamshid Abouei, J. Abouei
Affiliation
Department of Electrical Engineering, Yazd University, Iran
Topic
Federated Learning,Edge Devices,Internet Of Things,Base Station,Content Popularity,Convolutional Neural Network,Deep Neural Network,Edge Server,Federated Learning Framework,Local Dataset,Unmanned Aerial Vehicles,Wireless Networks,Cache Hit,Caching Scheme,Classification Accuracy,Communication Rounds,Data Privacy,Edge Caching,Global Model,Heterogeneous Data,Long Short-term Memory,Machine Learning Models,Mobile Edge Caching,Neural Network,Optimization Problem,Popularity Prediction,Smart Devices,Vision Transformer,Attention Mechanism,Body Area Networks,Communication Resources,Computational Resources,Content Delivery,Delay Constraint,Fusion Center,Historical Patterns,Input Samples,Internet Of Things Networks,Latent Representation,Local Training,Loss Function,MNIST Dataset,Mesh Network,Mobile Edge Computing,Modulation Scheme,Multilayer Perceptron,Multiple-input Multiple-output,Self-supervised Learning,Service Quality,Simulation Results,
Biography
Jamshid Abouei (Senior Member, IEEE) received the B.Sc. degree in electronics engineering and the M.Sc. degree in communication systems engineering from Isfahan University of Technology, Isfahan, Iran, in 1993 and 1996, respectively, and the Ph.D. degree in electrical engineering from University of Waterloo, Waterloo, ON, Canada, in 2009.
In 1996, he joined as a Lecturer with the Department of Electrical Engineering, Yazd University, Yazd, Iran, where he was promoted to an Assistant Professor in 2010, and an Associate Professor in 2015. From 2009 to 2010, he was a Postdoctoral Fellow with the Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada. During his sabbatical, he was an Associate Researcher with the Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, ON, Canada. His research interests are in 5G and wireless sensor networks, with a particular emphasis on PHY/MAC layer designs, including the energy efficiency and optimal resource allocation in cognitive cell-free massive MIMO networks, multiuser information theory, mobile-edge computing, and femtocaching.
In 1996, he joined as a Lecturer with the Department of Electrical Engineering, Yazd University, Yazd, Iran, where he was promoted to an Assistant Professor in 2010, and an Associate Professor in 2015. From 2009 to 2010, he was a Postdoctoral Fellow with the Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada. During his sabbatical, he was an Associate Researcher with the Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, ON, Canada. His research interests are in 5G and wireless sensor networks, with a particular emphasis on PHY/MAC layer designs, including the energy efficiency and optimal resource allocation in cognitive cell-free massive MIMO networks, multiuser information theory, mobile-edge computing, and femtocaching.