Dr. Sofiane Abbar

Dr. Sofiane Abbar - Copy.jpg
Senior Software Engineer
Social Computing
+(974) 4454 1736

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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.

Research Focus at QCRI

Dr. Sofiane Abbar is a Senior Software Engineer in the Social Computing Group @Qatar Computing Research Institute (QCRI).

Prior to joining QCRI, he worked as a temporary assistant professor at University of Paris Dauphine in France. In 2010 Dr. Abbar earned his Ph.D. in computer science from University of Versailles Saint Quentin en Yvelines in collaboration with Alcatel-Lucent Bell Labs  (France), which partly financed his Ph.D. 

Dr. Abbar has contributed since 2011 to the design and implementation of various large-scale and real-time platforms for social analytics, applied to news analytics, health informatics and urban computing. He has also acted as a Program Committee member in conferences including CHI, CIKM, ICWSM, ACM Digital Health, EDBT and ER.

Dr. Abbar's research interests include urban computing and smart cities. He is currently working on projects related to urban mobility, congestion monitoring and forecasting, map inference and city resilience. 

Previous Experience

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.

Professional Experience

  • University of Paris Dauphine (France), Temporary assistant professor, 2010-2011
  • University of Versailles (France), Lecturer, 2008-2010
  • Alcatel-Lucent Bell-Labs (France), research internship, 2007-2008

Professional Associations and Awards

 

Education

  • PhD, University of Versailles (France), 2010
  • M.Sc, University of Paris Dauphine (France), 2007
  • Engineering Bachelor, Ecole Superieur d’Informatique (Algeria),2006

Selected Research

Book Chapter

  • S. Abbar, M. Bouzeghoub, S. Lopes, Personalization Paradigm in Service Delivery Platforms. In Handbook on “Service Delivery Platforms: Developing and Deploying Converged Multimedia Services”. Edited by Syed A. Ahson and Mohammad Ilyas, CRC Press. ISBN: 978-1-4398008-9-8. 650 pages, February 2011.

Conferences

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In the Media

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Can AI Put An End To Fake News? Don't Be So Sure

07/10/2018

Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the ...

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MIT/QCRI system uses machine learning to build road maps

22/04/2018

Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...

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Improving disaster response efforts through data

08/02/2018

Extreme weather events put the most vulnerable communities at high risk. How can data analytics strengthen early warning systems and and support relief efforts for communities in need? The size and ...

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Upcoming Events

2019

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“The Future of Higher Education in the Age of Technological Disruption” by CMU President Dr. Farnam Jahanian

Download ICS File 24/03/2019 ,

Dr. Farnam Jahanian, the President of Carnegie Mellon University, will deliver a public lecture, “The Future of Higher Education in the Age of Technological Disruption” at CMU’s Qatar campus on Sunday, March 24.

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QCRI - MIT CSAIL 2019 Annual Project Review

Download ICS File 25/03/2019 ,

Executive Overview Sessions Open to publi Date: March 25, 2019 Time: 10:15AM - 5:15PM Venue: Hamad Bin Khalia Reseach Complex Multipurpose Room To view agenda, please click here . To RSVP to this ...

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"Learning to See" Public talk by Professor Antonio Torralba (MIT-CSAIL)

Download ICS File 25/03/2019 ,

Visit by Antonio Torralba, who teaches machines to automate tasks that a human visual system can accomplish, is part of annual spring research update between QCRI and MIT-CSAIL.

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News Releases

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QCRI and iMMAP announce Memorandum of Understanding

03/03/2019

Pact aims to apply data analysis and artificial intelligence techniques to solve humanitarian problems.

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UNDP partners with QCRI to use AI for social good

11/02/2019

Qatar forum on leveraging AI to solve humanitarian problems fills to capacity.

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Renowned computing expert C. Mohan to bust blockchain myths in Qatar talk

22/01/2019

Well-known inventor of database recovery algorithms to deliver keynote at QCRI's first blockchain workshop.

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