Myeung Suk Oh

Myeung Suk Oh works on topics that combine wireless communication systems with optimization and machine learning, including energy-efficient MIMO (multi-antenna wireless) systems and multi-task/multi-objective optimization methods. Earlier work focused on machine-learning-based techniques for improving wireless link performance, while more recent work shifts toward theoretical optimization problems involving multiple learning tasks. This research could interest students in wireless networking, signal processing, or optimization theory for machine learning.

Publication output was minimal or absent for most of the decade but increased noticeably starting in 2023, suggesting a recent uptick in research activity.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026