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.
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.
Fingerprint
Dive into the research topics where Qatar Computing Research Institute is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
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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-02-2: 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), Afridi, A. (Graduate Student), Thadikkal Abdul Muthalif, N. (Graduate Student), Mohamed Nour, A. (Graduate Student), Miller, H. (Graduate Student) & Elfadl, A. (Graduate Student)
1/06/24 → 30/11/25
Project: Applied 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 → 30/11/25
Project: Applied Research
Research output
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A multi-ancestry genome-wide association study and evaluation of polygenic scores of LDL-C levels
Umlai, U. K. I., Toor, S. M., Al-Sarraj, Y. A., Mohammed, S., Al Hail, M. S. H., Ullah, E., Kunji, K., El-Menyar, A., Gomaa, M., Jayyousi, A., Saad, M., Qureshi, N., Al Suwaidi, J. M. & Albagha, O. M. E., Mar 2025, In: Journal of Lipid Research. 66, 3, 12 p., 100752.Research output: Contribution to journal › Article › peer-review
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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, 110118.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
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