The DAIS Research Group is an AI and data science research group within the Energy AI & Computational Science Laboratory at the Korea Institute of Energy Research (KIER). We use complex, real-world data from energy and scientific research as both a starting point and a testbed for studying generalizable AI methodologies, including machine learning, scientific document understanding, knowledge-based reasoning, and AI agents. Rather than building one-off solutions for individual projects, we develop models, evaluation methods, and data-processing pipelines that can transfer across scientific and industrial domains, connecting methodological advances with academic contributions and practical research tools.
We collaborate with other groups within KIER and with external partners, organizing our work as reusable code and workflows rather than one-off solutions tied to a single project.

๐ Bronze Award
Undergraduate / High-School Paper Competition
ASK 2026 (Annual Symposium of the Korea Information Processing Society)
May 21, 2026, Gangneung, South Korea
Awardee: Hyoeun Choi (Chungnam National University, research intern)
Paper: Comparing SHAP and CRAFT Across Architectures for PEMFC SEM Images

Research Intern (2026-07 โ 2026-12)
Korea University of Technology and Education (KOREATECH)
Computer Vision

Research Intern (2026-07 โ 2026-12)
Chungnam National University
LLM Architecture ยท Machine Unlearning

Research Intern (2026-03 โ 2026-06)
Chungnam National University
Computer vision ยท XAI
Bronze Award, ASK 2026 Undergraduate / High-School Paper Competition

152 Gajeong-ro, Yuseong-gu, Daejeon 34129, South Korea
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For meetings or collaboration discussions, please contact us by email.