I joined QCRI because the institute is heading in the direction where I want to be.
Nan is working on a data quality management system that provides an end-to-end data cleaning system.
He is also working on a data quality dashboard that explores data quality meta data analysis, which targets a novel way for interaction with users.
Dr. Nan Tang a scientist at QCRI (Qatar Computing Research Institute) at Qatar Foundation, Doha, Qatar. Prior to joining QCRI he was a Research Fellow at LFCS (Laboratory for Foundations of Computer Science) at the University of Edinburgh, working with Prof. Wenfei Fan. He was a scientific staff member with the CWI (Dutch National Research Center for Mathematics and Computer Science), Amsterdam, from Feb. 2008 to Jan. 2010. In CWI, Nan was in the MonetDB group advised by Dr. Peter Boncz. He was awarded his PhD. degree from The Chinese University of Hong Kong at Dec. 2007, co-supervised by Prof. Kam-Fai Wong and Prof. Jeffrey Xu Yu. Nan holds visiting positions at University of Waterloo (Canada, 03/2007-08/2007, with M. Tamer Özsu), and Nanyang Technological University (Singapore, 09/2010, with Xiaokui Xiao).
In the Media
QCRI research studies the pre-Islamic State tweets of people who end up backing the organization paints a revealing picture of how support emerges.
Doha - Qatar, 15 March 2015: Qatar Science & Technology Park (QSTP), part of Qatar Foundation Research and Development (QF R&D), recently hosted a special edition of its acclaimed TECHtalk series. ...
Metabolomics is an emerging field which combines strategies to identify and quantify cellular metabolites using sophisticated analytical technologies with the application of statistical and ...
Co-located with the WWW'15 conference (May 2015, Florence, Italy). Proceedings published by ACM. QCRI's Dr Carlos Castillo is co-organizer.
Doha, Qatar, 25 February 2015 — Dr Ahmed Elmagarmid, Executive Director of Qatar Computing Research Institute (QCRI), a member of Qatar Foundation for Education, Science and Community Development, ...
Second annual symposium to highlight new approaches to valuable data extraction, provide students with insight into machine learning
Fun Filled Activities Designed To Raise Awareness Of Local Culture And The Foundation’s Many Initiatives