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
The 2014 Qatar Computing Research Institute (QCRI) summer internship programme ‘open house’ will take place on April 7 at QCRI in Tornado Tower, West Bay, Doha.
To help inform the discussion of the nation’s cyber strategy, QCRI has created this report to describe the most significant emerging cyber threats and possible strategies to help the nation’s information economy be more resilient against them.
March 21, 2014, Science correspondent Miles O’Brien reports. The overflow of information generated during a crisis like the Malaysian airliner gone missing can be just as paralyzing as the absence of...
A dedicated track to enriching Arabic digital content will be organized by QCRI.
QCRI will present the ETHRAA initiative at this conference.
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