Sunghoon Hong
AI Scientist at LG AI Research
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolSunghoon Hong is an AI Scientist at LG AI Research with eight years of experience applying deep reinforcement learning and graph neural networks to real-world industrial problems. He led reinforcement-learning solutions for petrochemical plant scheduling and combinatorial circuit design, work recognized by a 2025 LG Award, and previously published spotlight and full papers at ICLR while winning the L2RPN 2020 power-grid challenge. Trained at KAIST (MSc AI, top grades) and Yonsei (BS CS), he bridges rigorous research with production impact across domains from power grids and steel plant control to semiconductor workflows. Notably, he combines competitive challenge wins and top-tier conference publications with hands-on deployment experience, making him adept at turning advanced RL research into operational optimization systems.
8 years of coding experience
Master's degree, Artificial Intelligence, 4.0 / 4.3, Master's degree, Artificial Intelligence, 4.0 / 4.3 at 한국과학기술원(KAIST)Bachelor's degree, Computer Science, 3.8 / 4.3, Bachelor's degree, Computer Science, 3.8 / 4.3 at Yonsei University
Japanese, Chinese, English, Korean
Github Skills (21)
sequential8
reinforcement-learning-environments8
generalization7
testbed7
power-systems6
nodejs5
decision-making5
reinforcement-learning5
mysql4
machine-learning4
modularity4
policies4
deep-learning4
message-passing4
database4
Programming languages (4)
Github contributions (5)
sunghoonhong/SWAT
Mar 2022 - May 2022
Contributions:2 commits, 2 branches, 1 comment in 1 month
sunghoonhong/algorithm
Aug 2018 - Aug 2018
Contributions:64 commits, 54 pushes, 1 branch in 21 days
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