Summary
Hanju Yoo is a doctoral student at Yonsei University in Seoul with nine years of technical experience focused on semantic communications, learned image compression, and deep learning for communications. He combines strong academic performance (BE, 4.15/4.3) with hands-on research since 2021, pushing efficient representations and end-to-end learned systems for communication pipelines. His work bridges information theory and neural compression, aiming to reduce bandwidth while preserving perceptual fidelity in real-world channels. Based in South Korea, he brings both deep domain expertise and an engineer’s pragmatism, often exploring interdisciplinary solutions that span signal processing and modern ML.
9 years of coding experience
Bachelor of Engineering - BE, School of integrated technology, 4.15/4.3, Bachelor of Engineering - BE, School of integrated technology, 4.15/4.3 at Yonsei University 연세대학교