Welcom to DILab

At DILab, we study decision intelligence by integrating reinforcement learning, graph neural networks, and optimization techniques to enable adaptive and data-driven decision-making for scheduling and routing in complex manufacturing, logistics, and supply chain systems. In addition, we conduct research on business intelligence to extract actionable insights from large-scale industrial data and support strategic decision-making.

We have open positions for Ph.D., M.S., and undergraduate students. We are looking for self-motivated students who are interested in conducting research at the frontier of artificial intelligence, manufacturing, logistics, and business intelligence. Successful applicants will have opportunities to develop strong research and technical skills in areas such as reinforcement learning, deep learning, smart manufacturing, logistics, and business analytics. Students will work on cutting-edge research problems and collaborate with leading researchers in academia and industry. Prospective students interested in our research are encouraged to contact Prof. Donghun Lee (dhlee@dankook.ac.kr)