Machine learning applications for wireless communication systems

Asmaa Abdallah

Postdoctoral Research Fellow, Electrical and Computer Engineering

Deep learning Digital signal processing Resource allocation Machine learning applications for wireless communication systems

Asmaa Abdallah r eceived the B.S. (with High Distinction) and M.S degree in computer and communications engineering from Rafik Hariri University (RHU), Lebanon, in 2013 and 2015, respectively. In 2020, she received the Ph.D. degree in electrical and computer engineering at the American University of Beirut (AUB), Beirut, Lebanon. Ms. Abdallah was the recipient of the Academic Excellence Award at RHU in 2013 for ranking first on the graduating class. She also received a scholarship from the Lebanese National Counsel for Scientific Research (CNRS-L/AUB) to support her doctoral studies. She is

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.