Dr. Abdellatif Saoudi

Dr.Abdellatif_Saoudi
Managing Director
Management
+(974) 4454 0629

Connect with me

 
Assistant: Khadra Abdi (kabdi@qf.org.qa)
We are building a new model for research in the region through QCRI – one that not only stimulates a vibrant research environment but more notably one that has relevance and impact locally with global appeal.

Research Focus at QCRI

Dr. Saoudi is Managing Director of Qatar Foundation’s Qatar Computing Research Institute.

Previous Experience

Prior to joining QCRI, Dr. Saoudi served as Head Corporate Solutions in Qatar Petroleum (Qatar) where he managed large-scale ICT projects’ portfolio as well as leading major initiatives related to Web Technologies, Enterprise Content Management (ECM) and GIS.

He worked as an IT expert for Islamic Development Bank (International Financial Institution) in Jeddah, Saudi Arabia, where he played a key role in leading the strategic banking solutions.

He also served on the faculties of Polytechnic Institute of Nantes and Nantes University. The author of several industrial and scientific papers, he is interested in internet computing, data analytics, and knowledge management.

Professional Experience

  • Qatar Petroleum, Head of Corporate Solutions, 2006 – 2010
  • Qatar Petroleum, Senior Systems Engineer, 2004 – 2006
  • Islamic Development Bank, Business Information Officer, 1998 – 2004

Professional Associations and Awards

  • GIS Special Achievement Award from ESRI (Environmental Systems Research Institute), 2008

Education

  • PhD, Computer Science, Nantes University, 1997
  • MSc, INSA de Lyon, 1993

Selected Research

 

Connect with me

 
Assistant: Khadra Abdi (kabdi@qf.org.qa)

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In the News

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Using Big Data To Understand Migrations

10/08/2014

FORBES Federico Guerrini, Contributor 8 August 2014 Monitoring migrations is not an easy task. While in today’s economy, survey data about economic confidence or public opinion are collected on a ...

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QCRI Takes Steps to Promote Arabic

07/08/2014

Gulf Times 7 August 2014 Qatar Computing Research Institute (QCRI) is applying technology to speech recognition and machine translation to promote Arabic language, reports Foundation magazine. ...

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Closing the Arabic Language Gap Online

22/07/2014

Dr Stephan Vogel, Research Director, Arabic Language Technologies, Qatar Computing Research Institute, describes how his team is applying technology to speech recognition,
machine translation, and answering deep questions

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Upcoming Events

2014

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VLDB2014: 40th International Conference on Very Large Data Bases

Download ICS File 01/09/2014 - 05/09/2014, Hangzhou, China

VLDB is a premier annual international forum for data management and database researchers, vendors, practitioners, application developers, and users.

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31st IASP World Conference

Download ICS File 19/10/2014 - 22/10/2014, Qatar National Convention Centre, Doha, Qatar

The annual conference of the International Association of Science Parks and Areas of Innovation (IASP) is hosted by Qatar Science & Technology Park.

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EMNLP 2014: Conference on Empirical Methods in Natural Language Processing

Download ICS File 25/10/2014 - 29/10/2014, Renaissance Hotel, Doha, Qatar

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.

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Press Releases

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To Make Your Mark in Computer Science Visit the QCRI Summer Internship Programme Open House

03/04/2014

Qatar Computing Research Institute to host student information session showcasing unique summer internship opportunities

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QCRI Organises Talk by the Inventor of the World Wide Web

17/03/2014

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 ...

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World’s Top Machine Learning and Data Analytics Experts Come to Qatar

02/03/2014

Joint Boeing and QCRI research symposium to highlight new approaches to valuable data extraction

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