Projects per year
Organization profile
Organization profile
The mission of the Computer Engineering Degree Program at KFUPM is to develop and train the human intellect needed for meeting the continued technological advances in the discipline of Computer Engineering and IT-related areas. This includes graduating well-trained computer engineers to participate in the industrial development which is taking place in the Kingdom of Saudi Arabia.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Hakim Adiche
- Interdisciplinary Research Center for Intelligent Manufacturing & Robotics
- Department of Computer Engineering - Lecturer
Person: Researcher, Academic
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Understanding Public Perception and Adoption of Residential Solar Photovoltaic Systems in Sri Lanka
Khan, S. (PI) & Kaleem, Z. (CoI)
1/09/25 → 1/09/26
Project: Research
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Policy-Driven Access Control in OpenStack Using Machine Learning for Enhanced Cloud Security
Afaq, M. (PI)
1/03/25 → 28/02/26
Project: Research
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Deep Latent Space Representation Learning for Medical Image Enhancement
Khan, S. (PI)
1/03/25 → 28/02/26
Project: Research
Research output
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Flow anomaly detection in harsh industrial environments: A data analytics & machine learning approach
Moubayed, A., 30 Jan 2026, In: Measurement: Journal of the International Measurement Confederation. 258, 119043.Research output: Contribution to journal › Article › peer-review
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Q-Learning-Based Multi-channel ALOHA MAC for LoRaWAN
Omar, M. O., Al-Awami, L., Baroudi, U. & Ahmed, A. F., Mar 2026, In: Journal of Network and Systems Management. 34, 1, 21.Research output: Contribution to journal › Article › peer-review
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RetailEye: Supervised Contrastive Learning with Compliance Matching for Retail Shelf Monitoring
Alghaslan, M., Almutairy, K., El-Alfy, E. S. & Siddiqui, A. J., 2026, Neural Information Processing - 31st International Conference, ICONIP 2024, Proceedings. Mahmud, M., Doborjeh, M., Doborjeh, Z., Wong, K., Leung, A. C. S. & Tanveer, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 248-263 16 p. (Communications in Computer and Information Science; vol. 2297 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review