Summary
Jaeik Jeong is a research scientist specializing in deep reinforcement learning, smart grids, and energy forecasting with eight years of experience in the Energy ICT Research Section at ETRI. He holds B.S. and M.S. degrees in Electronic Engineering from Sogang University and is pursuing a Ph.D. there, combining rigorous academic training with applied research. Jaeik focuses on bringing RL approaches to real-world energy systems, aiming to improve grid resilience and forecasting accuracy. His work sits at the intersection of control, machine learning, and power systems, often translating theory into practical tools for energy operators. Based in South Korea, he blends long-term academic inquiry with hands-on research in an institutional R&D setting. Colleagues describe him as methodical and experimental-minded, pursuing innovations that bridge lab prototypes and operational deployment.
8 years of coding experience
박사, 전자공학, 박사, 전자공학 at 서강대학교
석사, 전자공학, 석사, 전자공학 at Sogang University
Korean, English