Muhammad Alrabeiah
Member Of The Spectrum Advisory Group (SAG) at Communications, Space & Technology Commission (CST)
Riyadh, Riyadh Region, Saudi Arabia
Summary
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Senior🎓
Top SchoolMuhammad Alrabeiah is a wireless technologies expert and advisor with 8 years of experience blending academic research and public-sector spectrum policy. Holding a PhD in machine learning for wireless technologies, he is an assistant professor at King Saud University and serves as a member of the Spectrum Advisory Group and wireless technologies advisor at the Communications, Space & Technology Commission, where he leads strategic initiatives, produces ITU contributions, and shapes national spectrum regulation. He brings deep technical chops in ML-driven wireless research combined with practical program management—overseeing SAG’s initiative portfolio and delivering policy-ready studies. Known for connecting global industry stakeholders with national policymaking, he translates complex technical science into actionable regulation and commercialization pathways. An interesting thread through his career is the steady progression from teaching assistant to policy influencer, reflecting a rare blend of classroom rigor and regulatory impact.
8 years of coding experience
Master's of Applied Science (M.A.Sc), Image processing, Master's of Applied Science (M.A.Sc), Image processing at McMaster UniversityDoctor of Philosophy (PhD), Machine learning for wireless technologies, Doctor of Philosophy (PhD), Machine learning for wireless technologies at Arizona State UniversityB.Sc, Electrical Engineering, B.Sc, Electrical Engineering at King Saud University
arabic (native), English
Github Skills (5)
matlab10
5g10
deep-learning9
computer-vision9
matconvnet8
Programming languages (3)
Github contributions (5)
malrabeiah/DL-Massive-MIMO
Apr 2019 - Jul 2020
DL tackling Massive-MIMO problems
Contributions:60 commits, 59 pushes, 5 branches in 1 year 3 months
matlabmassive-mimochannel-mapping5g6g
malrabeiah/CameraPredictsBeams
Sep 2019 - Jan 2022
Camera based beam prediction
Contributions:42 commits, 28 pushes, 3 comments in 2 years 4 months
6gcomputer-vision5gmmwavedeep-learning
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