Jiawei Han

Ph.D. University of Wisconsin- Madison, 1985

Research Statement

"Necessity is the mother of invention." As a young, exciting scientific discipline, knowledge discovery and data mining is to uncover patterns and knowledge hidden in massive data sets by integration and further development of methods generated in multiple disciplines, including statistics, machine learning, database systems, algorithms, information theory, Web technology, spatiotemporal, text, multimedia, and biological data analysis, and high performance computing.
 
Our current research into data mining has been focused on the following themes:
 
1. Information Network Analysis and Discovery
 
2. Sequential and Structured Pattern Discovery: Classification, Clustering and Outlier Analysis
 
3. Mining Spatiotemporal and Multimedia Data, Sensor Networks, Cyberphysical Systems, and Software Systems
 
4. Discovery of the Dynamics of Data Streams in Multi-Dimensional Space
 
5. Multidimensional Analysis and Ranking in Structural Data, Text, Web, and Other Information Repositories