I was amazed by the QCRI vision and its ambition to be one of the best research labs in the world. That's why I wanted to be a part of this project.
Sofiane's research focuses on developing new algorithms and tools for a better understood of users’ engagement and sentiment in the social web of news. He is also interested on leveraging user generated data, e.g., tweets, comments, shares and visits to identify the most trending topics. This data can be also used to make diversity-aware recommendation for users.
A list of Sofiane's ongoing projects follows:
Before joining QCRI, Sofiane was a PhD candidate at Versailles University. There, he had been involved in two CNRS projects (APMD and AOC), and one industrial project (UUPP) with Alcatel-Lucent Bell Labs. His contributions to these projects focused on data personalization, user modeling, context-awareness, and recommendation systems.
In the News
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HE Dr Hessa al-Jaber: highlights the milestones of Qatar’s ICT sector. By 2016, 95% of households in Qatar shall have the ability to access affordable and high-quality broadband service of at least ...
STUDENTS have been given a new perspective on the world of research through an internship opportunity with a hands-on approach to developing their computing skills. A closing ceremony to mark the end...
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.
The 2014 World Innovation Summit for Education (WISE) will convene November 4-6, in Doha, Qatar,under the theme “Imagine – Create – Learn: Creativity at the Heart of Education”.
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