Regular biography
Jae Gil Lee is a faculty member in the School of Computing at KAIST. His research focuses on the School of Computing, and he is affiliated with the Department of CS. His contact information includes an email address of jaegil@kaist.ac.kr and a website link for further details.
Scholar-generated biography
Jae-Gil Lee is a Professor at the School of Computing, KAIST, specializing in big data and data mining. His research focuses on developing advanced techniques for analyzing and extracting insights from large-scale data, with applications in trajectory clustering, geospatial big data, and traffic pattern analysis. He has contributed to the development of frameworks for trajectory outlier detection, incremental clustering, and community detection in multi-layer graphs. His work also addresses challenges in data quality and noisy labels in deep learning, emphasizing a data-centric AI approach. Lee's research has led to the creation of tools like Movemine and RP-DBSCAN, which enhance the analysis of moving object data and improve clustering efficiency.