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Mouna Ben Mabrouk
Affiliation
SogetiLabs Research and Innovation (part of Capgemini), Issy Les Moulineaux, France
Topic
Additive Noise,Wireless,6G Networks,Area Under Curve,Artificial Intelligence Models,Artificial Intelligence Techniques,Authentication,Bayesian Classifier,Best Practice Recommendations,Best Practices,Bit Error,Bit Error Rate,Bit Error Rate Performance,Blockchain Platform,Building Construction,Building Information,Building Information Modelling,Butterworth Bandpass Filter,Channel Estimation,Channel Model,Cloud Computing,Cloud Layer,Cloud Platform,Cognitive Networks,Cognitive Radio,Consortium Blockchain,Conventional Estimation,Critical Applications,Cryptocurrencies,Data Sharing,Decision Tree,Distributed Ledger,Distributed Ledger Technology,Docker Container,Edge Computing,Efficient Deployment,Energy Carbon Emissions,Energy Use,Estimation Strategy,Explainable Artificial Intelligence,False Positive Rate,Family Of Algorithms,Feed-forward Network,Feedforward Neural Network Model,Fog Nodes,Frequency Band,Frequency-selective Channels,Gini Coefficient,Gradient Boosting,Gradient Boosting Machine,
Biography
Mouna Ben Mabrouk received the degree in electronic and telecommunication engineering from the University of Carthage, Tunisia, in 2012, the Ph.D. degree from the IMS laboratory, University of Bordeaux, about power amplifier behavior modeling in a CR context to develop an energy efficient digital linearization technique and as a Student with the University of Bordeaux, France, in 2015. She is currently holds a post-doctoral position with the IETR Laboratory, CentraleSupelec, where she is involved in post-OFDM waveforms for 5G systems.