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Qatar Computing Research Institute

Organisation profile

Organisation profile

Qatar Computing Research Institute (QCRI) is a national research institute, established in 2010 by Qatar Foundation (QF) for Education, Science and Community Development, a private, non-profit organization that is supporting Qatar’s transformation from a carbon economy to a knowledge economy. QCRI operates under the umbrella of Hamad bin Khalifa University (HBKU).

Our Vision

QCRI’s vision is to be a global leader of computing research in identified areas that will bring positive impact to the lives of citizens and society.

Our Mission

Our mission is to conduct innovative, multidisciplinary applied computing research that addresses national priorities by enhancing the quality of life for citizens, enabling broader scientific discoveries and making local businesses more competitive globally.

QCRI Overview

QCRI supports QF’s mission by helping to build Qatar’s innovation and technology capacity. It is focused on tackling large-scale computing challenges that address national priorities for growth and development. In doing this, QCRI conducts world-class multidisciplinary computing research that is relevant to the needs of Qatar, the wider Arab region and the world. The institution performs cutting-edge research in such areas as Arabic language technologies, data analytics and cyber security.

The research conduct at QCRI is aligned with the Qatar National Research Strategy, and supports the strategic priorities outlined in Qatar National Vision 2030.

Research at QCRI

Arabic Language Technologies

Ensuring that the Arabic language flourishes in the digital world is a priority area of QCRI’s research. We are dedicated to promoting the Arabic language in the information age. Some of our current research projects address the challenges related to lack of content and equally important, extracting that content, analyzing and transforming it.

Research Engineering Group

Founded in 2018, the Research Engineering Group was established with the vision of becoming an innovation hub that generates transformative solutions addressing real-world challenges of both local and global significance. Our mission is to transform QCRI research outcomes into robust, commercially viable products.

Cyber Security

We are living in a time of a paradigm shift towards cyber security attacks on targets such as critical infrastructure, governments and sensitive data.

Qatar Center for Artificial Intelligence

QCRI’s Qatar Center for Artificial intelligence Group research expertise transcends the data science stack - from data extraction and cleaning to analytics, retrieval, inference and prediction.

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Collaborations and top research areas from the last five years

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  • AbjadAuthorID: Authorship Identification for Arabic-Script Languages at AbjadNLP 2026

    Abudalfa, S., Ezzini, S., Abdelali, A., Jarrar, M., El-Haj, M., Durrani, N., Sajjad, H., Adeeba, F. & Ahmadi, S., 2026, EACL 2026 - 19th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script, AbjadNLP 2026. El-Haj, M., El-Haj, M., Rayson, P., Jarrar, M., Ezeani, I., Ezzini, S., Ahmadi, S., Haddad, A. H., Amol, C., Abdelali, A. & Abudalfa, S. (eds.). Association for Computational Linguistics (ACL), p. 538-544 7 p. (EACL 2026 - 19th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script, AbjadNLP 2026).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access

  • AbjadGenEval: Abjad AI Generated Text Detection Shared Task for Languages Using Arabic Script at AbjadNLP 2026

    Ezzini, S., Ahmad, I., Chafik, S., Abudalfa, S., El-Haj, M., Abdelali, A., Jarrar, M., Durrani, N., Sajjad, H. & Adeeba, F., 2026, EACL 2026 - 19th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script, AbjadNLP 2026. El-Haj, M., El-Haj, M., Rayson, P., Jarrar, M., Ezeani, I., Ezzini, S., Ahmadi, S., Haddad, A. H., Amol, C., Abdelali, A. & Abudalfa, S. (eds.). Association for Computational Linguistics (ACL), p. 530-537 8 p. (EACL 2026 - 19th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script, AbjadNLP 2026).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access

  • Adaptive malware detection using sequential feature selection: A dueling double deep Q-Network framework for intelligent classification

    Khan, N., Al-Tamimi, A., Bermak, A. & Khalil, I., Jun 2026, In: Journal of Information Security and Applications. 99, 13 p., 104407.

    Research output: Contribution to journal › Article › peer-review

    Open Access
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