Data Intelligence System Lab (DISLab)
Department of Industrial and Systems Engineering & Graduate School of Data Science, KAIST, South Korea
Department of Industrial and Systems Engineering & Graduate School of Data Science, KAIST, South Korea Also, affiliated with Department of AX at the KAIST College of AI
Welcome to DISLab! We are dedicated to building trustworthy Agentic AI systems grounded in data-centric intelligence. We believe that intelligence does not emerge from model scale alone, but from how data is perceived, structured, remembered, and used throughout an agent's lifecycle. We study how data quality, data structure, and data utilization fundamentally shape an agent's ability to reason, act, and adapt in complex real-world environments. Our goal is to design AI agents that can operate reliably under noisy inputs, long contexts, and imperfect information.
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View All →Our research is organized around four core components of Agentic AI:
Agent Perception
Understanding multi-modal and long-context signals across text, images, video, and other sensory inputs to perceive complex environments.
Agent Intelligence
Developing reasoning and decision-making capabilities that integrate world understanding with value alignment to enable purposeful and safe agent behavior.
Agent Memory
Designing memory and information compression mechanisms that organize, store, and retrieve knowledge over long horizons for consistent agent behaviors.
Agent Modeling
Building efficient and controllable agent models through knowledge distillation, compression, safety guardrails, and automatic evaluation.