Woonghee Lee

Woonghee Lee

Senior Researcher · Principal Investigator
Woonghee Lee leads the DAIS Research Group at the Korea Institute of Energy Research (KIER). His research applies deep learning to image, signal, and text data — currently focused on AI methods for energy and materials research, including time-series and document analysis, robust deep models, and AI agents for research workflows.

Comparing SHAP and CRAFT Across Architectures for PEMFC SEM Images

Cross-architecture comparison of SHAP and CRAFT on PEMFC catalyst SEM images for degradation classification. Co-authored with KIER's analysis and hydrogen fuel cell teams.

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Hyoeun Choi

AI-Based Technology-Trend News Collection, Analysis, and Report Generation System

AI system for global energy and technology news collection, analysis, and report generation.

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Woonghee Lee

Publisher-Adaptive HTML Parsing System for Figure and Caption Extraction from Scientific Papers

Publisher-adaptive extraction of figures, captions, and caption-mentioning body sentences from academic-paper HTML.

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Woonghee Lee

CREMA: Contextual Reconstruction and Extraction of Multimodal Assets from academic papers

Academic paper visual-element extraction with translation and layout reconstruction.

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Woonghee Lee

Automated Photovoltaic Parameter Extraction System Using Physics-Guided Bayesian Optimization

Physics-constrained Bayesian-optimization system for solar-cell parameter extraction.

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Woonghee Lee

ESPRESSO: A Visualization Tool for Labeling Objects in Research PDFs

Visualization tool for labeling objects in research PDFs.

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Woonghee Lee