EIS Lab
Explainable AI for Intelligent Decision Support
We develop explainable and human-centered AI methods for reliable decision support across complex real-world domains.
Research directions
Explainable & Human-Centered AI
Interpretable AI that combines probabilistic rule extraction, symbolic representations, and agentic explanation generation for understandable decision support.
Intelligent & Explainable Smart Manufacturing
Predictive and explainable AI for manufacturing quality and decision support, including grounded natural-language explanations.
Sustainable Energy Intelligence
Battery health estimation and multimodal renewable-power forecasting for reliable, data-driven energy systems.
The lab
The Explainable Intelligent Systems (EIS) Lab at Seoul National University of Science and Technology develops explainable and human-centered AI methods for industrial and energy systems. Our research combines interpretable machine learning, AI-generated explanations, process-aware analytics, and predictive modeling for manufacturing quality, solar power forecasting, and battery health estimation.
We aim to create AI systems that are not only accurate, but also understandable, trustworthy, and useful for decision-making — bridging methodological research in explainable AI with practical decision-support problems in smart manufacturing and sustainable energy.