Summary
Mostafa Rahmani is a postdoctoral researcher and machine learning engineer with nine years of experience advancing physical-layer wireless communications and AI-driven network optimization at the University of York and Shiraz University of Technology. He specializes in MIMO and cell-free systems, channel coding and estimation, and large-scale link/system-level simulation using MATLAB 5G NR Toolbox, while developing distributed MIMO, fronthaul compression, and intelligent RIC algorithms with deep reinforcement learning. Comfortable in Python and MATLAB, he has applied data-driven ML to both telecom problems and computer vision tasks like face recognition and segmentation, and has a history of delivering applied ML solutions such as COVID-19 severity prediction systems. He co-supervises PhD students and collaborates with industry partners to shape 3GPP-relevant studies, blending rigorous research with practical engineering. A decade of self-directed learning and sustained research roles reflects his persistence and ability to bridge theory and implementation at the intersection of 5G/6G and AI. Based in the UK, he maintains an active code presence (GitLab) supporting reproducible research and prototyping.
9 years of coding experience
9 years of employment as a software developer
Shiraz University
Master's Degree, Electrical, Electronics and Communications Engineering, Master's Degree, Electrical, Electronics and Communications Engineering at Tarbiat Modares University
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, 20, Doctor of Philosophy - PhD, Electrical and Electronics Engineering, 20 at Shiraz University of Technology