Actionable Intelligence Lab

Led by Prof. Changhee Lee, the Actionable Intelligence Lab’s research team is developing a wide range of machine learning approaches including self- and semi-supervised learning, causal inference, automated ML, and many more to address unsolved real-world problems in healthcare, manufacturing, and other domains where critical decision making is the key. (09/2026) Prof. Lee will give a talk on "From Time-series Prediction to Interpretability" at the CCAIM Machine Learning for Healthcare Summer School 2026. (07/2026) Prof. Lee will give a talk on a tutorial on "Interpreting with Features: A Deep Learning Approach at Global and Instance Levels" at the AI KOREA 2026. (07/2026) Prof. Lee will give a talk on a tutorial on time-series analysis and beyond at the KSEPI Summer Training Program 2026. (07/2026) Prof. Lee will serve as a moderator for Track B: Multimodal AI at the Global AI Frontiers Symposium 2026. It's on YouTube. (07/2026) Prof. Lee will give a talk on "What Should We Prepare for in the Age of AI?" at the Hyundai High School Future Leaders Program. (05/2026) Prof. Lee was featured in an interview with JoongAng Ilbo on time-series AI for early cardiac arrest detection and neonatal respiratory monitoring. (05/2026) Prof. Lee will give a talk on understanding black-box time-series predictions at the AI Frontiers Summit 2026. (09/2024) Prof. Lee will give a talk on DL-based feature selection at the CCAIM Summer School 2024.