Multi-Agent and AI Systems
Learning, coordination, routing, and decision-making among interacting intelligent agents.
GIST · EECS
Intelligent Systems and Networks
Learning, decision-making, and optimization for intelligent and networked systems.
We are recruiting graduate students.
Interested students are welcome to send their CV to
sunjungkang@gist.ac.kr.
Learn more →
About us
Intelligence that works across networks.
The Intelligent Systems and Networks Laboratory (ISN Lab) studies information exchange, decision-making, collaboration, and resource optimization in intelligent and networked systems. We develop theoretical, optimization-based, and learning-based approaches for efficient, reliable, and adaptive networked intelligence.
ISN Lab은 지능형·네트워크 시스템에서의 정보 교환, 의사결정, 협업, 자원 최적화를 연구합니다. 멀티에이전트 및 AI 시스템, 정보 신선도, 통신 및 자원 최적화를 중심으로 효율적이고 신뢰성 높은 지능형 네트워크 시스템을 위한 이론·최적화·학습 기반 방법론을 개발합니다.
Information Freshness and Networked Systems
Timely information delivery, Age of Information, and control of dynamic networked systems.
Communication and Resource Optimization
Optimization and learning for wireless, edge, satellite, and distributed computing systems.
Recent news
Updates from the lab
- Oct 2026ISN Lab launches at GIST.
- Oct 2026We are recruiting motivated graduate students interested in AI and networked systems.