معرفی
Ke Wang is a Professor in the School of Computing Science at Simon Fraser University. His research focuses on Data Mining, Database Systems, Data Privacy, and Graph and Network Data. He holds a Ph.D. and M.Sc. from the Georgia Institute of Technology (1986 and 1984, respectively).
Teaching includes courses like Database Systems II, Introduction to Data Mining, and Special Topics in Databases. He has advised numerous students and alumni, many of whom now work in tech, academia, and industry. Notable awards include the 2013 Faculty of Applied Sciences Research Excellence Award and the ECIR 2019 Best System Paper.
His work emphasizes privacy-preserving techniques and has led to contributions like the Introduction to Privacy-Preserving Data Publishing textbook. He has served as a conference chair for major data mining events like SDM 2015/2016 and holds editorial roles in journals like ACM TKDD. His lab, the Database and Data Mining Laboratory, focuses on actionable solutions for real-world data challenges.
