News archive - 2017

Monday, November 20, 2017

Professor Tamer Özsu named a Fellow of the American Association for the Advancement of Science

M. Tamer Özsu, a professor in the David R. Cheriton School of Computer Science and a founding member of its Data Systems group, has studied database systems for decades. In fact, his fascination with computer systems that allow users to organize, extract and analyze data began before formal database systems existed.

Thursday, November 9, 2017

ACM recognizes Professor Ken Salem as 2017 Distinguished Member

The Association for Computing Machinery has named David R. Cheriton School of Computer Science Professor Ian Ken Salem among 43 new ACM Distinguished Members globally for their outstanding scientific contributions to computing.

The 2017 Distinguished Members are responsible for an extraordinary array of achievements, reflecting many distinct areas of research and practice in the field of computing and information technology.

Friday, October 20, 2017

From international exchange student to tenure-track prof

Xu Chu graduates from Waterloo with a PhD in computer science and moves on to a faculty position at Georgia Institute of Technology

Xu Chu came to the University of Waterloo in 2010 as a fourth-year exchange student from China.

Thursday, October 12, 2017

Computer scientist receives $135k for state-of-the-art infrastructure

Professor Maura Grossman received a John R. Evans Leaders Fund (JELF) award from the Canada Foundation for Innovation, which will provide her with infrastructure support to expand her research programs. The Honourable Kirsty Duncan, Minister of Science, made the funding announcement in Sudbury today.

Friday, September 29, 2017

David R. Cheriton School of Computer Science launches new lab devoted to data science research

The David R. Cheriton School of Computer Science unveiled a new lab on Thursday, September 28, 2017. Located on the third floor of the Davis Centre, the recently completed 5,000 square foot data systems lab is an open-concept space for more than 70 undergraduate and graduate students, postdoctoral fellows, faculty, and other researchers to conduct innovative, high-impact research in big data and data science.

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