Qing An defends PhD thesis
May 1, 2025·
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1 min read
Rahman Doost-Mohammady
Congratulations to Qing An (PhD'25, MS'23) on successfully defending his PhD thesis! Qing’s research focused on deep reinforcement learning for resource scheduling in massive MIMO networks. He has joined Apple to continue his work on next-generation wireless systems.
Authors
Rahman Doost-Mohammady
(he/him)
Assistant Research Professor
I work at the intersection of computer systems and wireless
networking — building programmable, intelligent infrastructure for
5G/6G and Open RAN. A common thread across my projects is algorithm
and system design across FPGA, GPU, and CPU — spanning real-time
massive MIMO baseband on commodity servers, many-antenna hardware
platforms, and learning-driven schedulers. I am currently focused on
virtualized Open RAN systems and ML-enabled RAN software design.