Projects per year
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.
Conduct research of the highest quality and publish research results of indisputable value.
Introduce visionary solutions to significant scientific or technological challenges.
Integrity
Provide leadership in our areas of expertise to global science, international research communities and local society.
Leadership
Provide leadership in our areas of expertise to global science, international research communities and local society.
Collaboration
Promote open collaboration among colleagues and with partners.
Impact
Be result-oriented and provide solutions to emerging problems, ensuring alignment with national priorities.
Stakeholders
The primary stakeholders are:
Faculty are involved in the following areas of research:
- Qatari society, which needs a way to retain its top talent in the field of computer science and to attract top graduates from elsewhere in the region to ensure Qatar’s sustainability in all fields;
- Qatari industry, which needs advanced applied research solutions before they are available commercially;
- Qatar’s government, which needs working solutions that will meet the growing needs of the country and its people.
QCRI’s research focuses on the future needs of its stakeholders by developing cutting-edge applied computing research, helping to identify specific problems and generating tested, proven solutions.QCRI works closely with both research institutes and universities in Qatar which perform fundamental research by working together to advance their most promising basic research findings.
QCRI also works closely with Qatar Science & Technology Park to identify the most viable commercial applications generated by the its research.
Partners and Collaborators
Great scientific research was once done by a few individuals, often working in isolation. For example, over one thousand years ago the great Arab scholar Ibn al Haytham performed the first systematic, verifiable scientific experiments alone, under house arrest, in a bare room in Cairo. That kind of research has gone the way of the astrolabe and camera obscura.
Today’s leading-edge scientific research is done collaboratively by teams of researchers. It takes an organization of a certain size to tackle large-scale computing challenges. It also takes synchronized collaboration to provide the kind of continuity over time to bring promising research to fruition.
To realize our objectives and to meet the growing needs of Qatar, we have partnered with leading research organizations, labs and academic institutions worldwide. Together, we are tackling grand challenges in computing research.
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Collaborations and top research areas from the last five years
Profiles
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QCRI-CORE-000023: Building a resource for Equine Genome Research in Qatar and Morocco
Bensmail, H. (Lead Principal Investigator)
1/09/24 → 1/07/28
Project: Basic Research
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HBKU-OVPR-SRG-02-1: Advancing Qatar's AI Landscape: Developing an Arabic-Centric and Ethically-Aligned Large Language Model
Abdallah, M. M. (Principal Investigator), Al Fuqaha, A. (Principal Investigator), Sencar, H. T. (Lead Principal Investigator), Messaoud, S. (Principal Investigator), Senturk, R. (Principal Investigator), Ozalkan, S. (Principal Investigator) & Abdalla, A. (Graduate Student)
1/06/24 → 31/05/25
Project: Applied Research
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HBKU-OVPR-SRG-02-2: AI-EDAPT: Artificial Intelligence for Educational Adaptation, Personalization, and Transformation
Yahiaoui, R. (Principal Investigator), Koc, M. (Principal Investigator), Dimitropoulos, G. (Principal Investigator), Alam, F. (Principal Investigator), Mikros, G. (Lead Principal Investigator), Riazi, A. (Principal Investigator), Giustini , D. (Principal Investigator), Bower, M. (Consultant) & Ali, L. (Graduate Student)
1/06/24 → 31/05/25
Project: Applied Research
Research output
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A novel deep learning-based approach for video quality enhancement
Zilouchian Moghaddam, P., Modarressi, M. & Sadeghi, M. A., 15 Mar 2025, In: Engineering Applications of Artificial Intelligence. 144, 11 p., 110118.Research output: Contribution to journal › Article › peer-review
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ARADICE: Benchmarks for Dialectal and Cultural Capabilities in LLMs
Mousi, B., Durrani, N., Ahmad, F., Hasan, M. A., Hasanain, M., Kabbani, T., Dalvi, F., Chowdhury, S. A. & Alam, F., 2025, Main Conference. Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Di Eugenio, B. & Schockaert, S. (eds.). Association for Computational Linguistics (ACL), p. 4186-4218 33 p. (Proceedings - International Conference on Computational Linguistics, COLING; vol. Part F206484-1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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CReMa: Crisis Response Through Computational Identification and Matching of Cross-Lingual Requests and Offers Shared on Social Media
Lamsal, R., Read, M. R., Karunasekera, S. & Imran, M., 2025, In: IEEE Transactions on Computational Social Systems. 12, 1, p. 306-319 14 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus)