Donghoon Seo
Papers
1
Total Citations
1
H-Index
1
About
Donghoon Seo is a leading researcher in the field of lithium-ion battery (LIB) diagnostics, with a focus on developing intelligent, data-driven systems for state-of-health estimation. His work centers on applying deep neural networks (DNNs) and statistical feature extraction to address the critical challenge of battery degradation—specifically, the increase in internal resistance and loss of maximum charge capacity that occurs with repeated cycling. Seo’s most cited paper introduces a novel DNN-based state diagnosis system that leverages statistical features from battery data, offering a practical, non-invasive method for real-time health monitoring. This contribution is vital for applications ranging from mobile robots to electric vehicles, where reliable battery performance is essential. With growing citation impact, Seo’s research bridges the gap between advanced machine learning and electrochemical system analysis, providing scalable solutions for extending battery life and ensuring operational safety. His work represents a significant step toward smarter energy storage management, positioning him as an emerging authority in the intersection of artificial intelligence and battery technology.
Research Focus
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Top Papers
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