Machine learning applications for wireless communication systems

Mohamed Amine Lahmeri

M.S., Electrical and Computer Engineering

Machine learning applications for wireless communication systems UAV-enabled Communication Systems Next generation wireless communications

Mohamed-Amine Lahmeri is an MS/Ph.D. student in the Communication Theory Lab (CTL) under the supervision of Professor Mohamed-Slim Alouini at King Abdullah University of Science and Technology (KAUST). Education and Early Career Mohamed-Amine Lahmeri joined the best engineering school in Tunisia, "Ecole Polytechnique de Tunisie (EPT)", in 2019 after being ranked among the top 2% at the Tunisian national contest for entrance to engineering schools. During his graduation project, he joined KAUST as a visiting student and got enrolled in the Visiting Student Research Program (VSRP) that is

Asmaa Abdallah

Research Scientist, Electrical and Computer Engineering

Deep learning Digital signal processing Resource allocation Machine learning applications for wireless communication systems 5G and beyond UAV-Assisted cellular and sensor networks artificial intelligence

Abdullah Adil Albakry

Ph.D. Student, Communication and Computing Systems Lab

machine learning Machine learning applications for wireless communication systems

Education and early career: I graduated with my bachelor’s degree in Electrical and Computer engineering with a mathematics minor from North Carolina State University (NCSU) in the United States. Now, I am a MS/PhD student at KAUST supervised by Dr. Ahmed Eltawil. Research Interest: Machine Learning and Communication Education Profile B.Sc., Electrical and Computer Engineering, North Carolina State University, United States, 2020.