QCRI is one of the few serious research places in the Middle East and on track to be one for the key research centers worldwide. The opportunity of being part of this growing effort is the major attraction.
Ihab’s research focus at QCRI is Data Analytics, in particular, data quality issues, information extraction, and probabilistic processing of uncertain data.
Ihab Ilyas is an Associate Professor of Computer Science at the University of Waterloo and VP research at Primal. He received his PhD in computer science from Purdue University, West Lafayette in 2004. He holds BS and MS degrees in computer science from Alexandria University, Egypt. He spent two summers with IBM Almaden Research Center and he is currently an IBM CAS faculty fellow since January 2006. His main research is in the area of database systems, with special interest in top-k and rank-aware query processing, managing uncertain and probabilistic databases, self-managing databases, indexing techniques, and spatial databases.
In the News
Middle East countries are set to redefine the international humanitarian aid sector, and it isn't just because their contributions to global funds are increasing.
QCRI is the local host for EMNLP 2014. EMNLP is organized by SIGDAT, the Association for Computational Linguistics special interest group for linguistic data and corpus-based approaches to natural language processing.
Annual ACS/IEEE Conference will be held in Doha, Qatar. Organized by Qatar University.
The QITCOM 2014 Conference will be held on 26th, 27th and 28th of May, 2014, at the Qatar National Convention Centre. The conference epitomizes QITCOM's aim of tackling local and regional concerns ...
Qatar Computing Research Institute to host student information session showcasing unique summer internship opportunities
Doha, Qatar, 17 March 2014: Just a quarter of a century since the birth of the World Wide Web, Qatar Computing Research Institute (QCRI) has invited its inventor, Sir Tim Berners-Lee, to deliver a ...
Joint Boeing and QCRI research symposium to highlight new approaches to valuable data extraction