M. Tamer Özsu
M. Tamer Özsu has helped shape the field of distributed data management since its early days with important contributions. Distributed databases offer the ability to share and access data in a reliable and efficient manner across geographically separated sites. His contributions go beyond distributed data management with pioneering work to provide proper data management support for nontraditional data including graph data, XML data, multimedia and time-series data, and data streams. He has developed representation, querying, and indexing techniques for these hard-to-manage data types that have increasing importance in data science and big data applications. He has also developed award-winning techniques for similarity-based retrieval of stationary and moving objects that are robust to noise and data imperfections.
An IEEE Life Fellow, Özsu is a University Professor with the Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada.