The Learning and Intelligent Systems Research Group is committed to the research of analyzing complex phenomena emergent in the real and cyber worlds by using statistical machine learning, data mining, data stream analysis and sensor networks. We focus on the following two research topics:

1. Statistical Machine Learning and Data Mining team deals with the large-scale, indeterminate and ever-changing information on the Web to explore the latent semantic structure that governs its data generation process and enables new knowledge discoveries, and
2. S-ROOM team deals with sensor data and sensor networks to establish an intelligent and user-friendly environment that can "think" like a human by exploring real-world "semantics" that bridges between real and cyber worlds by interpleting and symbolizing sensor data.