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Aymen Hamrouni received the Diplome d’Ingenieur (summa cum laude) in Telecommunication Engineering from the Ecole Superieure des Communications de Tunis (SUP’COM), Tunis, Tunisia, in 2019. Before that, he recieved his CPGE degree in advanced theoretical mathematics and physics (Hons.) from Institut Pr´eparatoire aux Etudes d’Ing´enieur de Sfax, in 2016. Aymen is a young, passionate, and self-motivated AI researcher with a versatile background in Information Technologies and equipped with thorough mathematical Optimization knowledge, Graph Theory expertise, and advanced Data Science skills. Fluent in Python, C/C++, and Matlab, Aymen’s interests lay in the intersection of graph neural networks, deep generative modelings, applied machine learning and optimization, mathematical modeling, graph theory, and the Internet-of-Things. Aymen is currently serving as an active reviewer in IEEE IoT Journal, IEEE TCSS, IEEE Access, and IEEE Communication Letters. During the period from 2019 to 2021, Aymen was affiliated as a Junior Research Scientist with Stevens Institute of Technology. He has managed, till now, to produce more than 10 state-of-the-art papers including journals, conferences, and magazines in various top IEEE venues.