Experience
Education
Bio
Ke Wang's research interests include database technology, data mining and knowledge discovery, with emphasis on massive datasets, graph and network data, and data privacy. He is particularly interested in combining the strengths of database, statistics, machine learning and optimization to provide actionable solutions to real life problems.

Ke Wang has published in database, information retrieval, and data mining conferences, including SIGMOD, SIGIR, PODS, VLDB, ICDE, EDBT, SIGKDD, SDM and ICDM. He is currently an associate editor of the ACM TKDD journal and he was an associate editor of the IEEE TKDE journal, an editorial board member for Journal of Data Mining and Knowledge Discovery, a PC co-chair for SIAM Conference on Data Mining 2008 and a PC co-char for IEEE International Conference on Intelligence and Security Informatics (ISI) 2010.