Fatma Abdelkefi

Also published under:F. Abdelkefi, Fatma AbdelKefi

Affiliation

Higher School of Communications of Tunis, Tunisia

Topic

Neural Network,Additive Noise,Hidden Layer,Cost Function,Inter-symbol Interference,Resource Allocation Problem,Sub-6 GHz,Transmission Channel,Wireless Networks,Activation Function,Base Station,Channel Estimation,Data Rate,Internet Of Things,K-nearest Neighbor,Mean Square Error,Mixed-integer Nonlinear Programming,Neurons In Layer,Output Layer,Power Constraint,Power Level,Quadrature Amplitude Modulation,Quality Of Service Requirements,Resource Allocation,Signal-to-noise,Symbol Error Rate,User Association,Weights Of Layer,Channel Gain,Communication Systems,Data Rate Requirements,Deep Learning,Deep Q-network,Deep Reinforcement Learning,Input Layer,Linear Case,Linear Version,Mobile Users,Multipath Channel,Multiple Access,Multiple Access Techniques,Neural Network Weights,Non-orthogonal Multiple Access,Objective Function,Optimization Problem,Orthogonal Multiple Access,Part Of The Input,Path Loss,Penalty Factor,Power Amplifier,

Biography

Fatma Abdelkei (M’99) received the Engineer degree in electrical engineering from the Ecole Nationale d’Ingénieurs de Tunis, Tunis, Tunisia, in 1998, and the M.S. degree in digital communications systems and the Ph.D. degree (with highest honors) from the Ecole Nationale Supérieure des Télécommunications, Paris, France, in 1999 and 2002, respectively.
She then spent two years with the Communication Technology Laboratory, Swiss Federal Institute of Technology, Zurich, Switzerland, as Postdoctoral Researcher. From 2006 to 2008, she was a Scientific Collaborator with the Ecole Polytechnique Fédérale de Lausanne. Since 2009, she has been with the Ecole Supérieure des Communicatons à Tunis, Tunis, Tunisia, where she is currently an Associate Professor. Her research interests include digital communications, information theory, detection and estimation, equalization, multicarrier systems, compressive sensing, and cognitive radio.