King Fahd University of Petroleum and Minerals
🇸🇦 SA
Papers
230
Total Citations
5,254
H-Index
34
Researchers
229
About
King Fahd University of Petroleum and Minerals (KFUPM), based in Dhahran, Saudi Arabia, has emerged as a dynamic research powerhouse at the intersection of artificial intelligence, robotics, and intelligent systems. With a portfolio spanning foundational machine learning to cutting-edge large language models, KFUPM researchers are making internationally recognized contributions that bridge theoretical innovation and real-world industrial application. The university's AI research has gained extraordinary traction, with its comprehensive overview of large language models accumulating nearly 500 citations since 2025, reflecting KFUPM's growing influence in the global NLP conversation. Equally impressive is its deep engagement with collaborative robotics, where faculty have systematically reviewed AI-driven cobots for industrial environments, advancing the safe and intelligent integration of robots alongside human workers. Foundational work in potential field-based path planning and decentralized multi-agent control has shaped how autonomous systems navigate complex environments, while contributions to pipeline inspection using robotic sensor networks speak to KFUPM's strength in applied, infrastructure-critical robotics. The university's engineering optimization research is equally prolific, with novel metaheuristic algorithms applied to robot gripper design, parallel kinematic machines, and constrained mechanical systems, showcasing a rigorous approach to intelligent design. Research into omnidirectional mobile robots, robotic arm kinematics, and wireless energy transfer for sensor networks further underscores a comprehensive systems-level perspective. KFUPM also demonstrates forward-thinking engagement with emerging paradigms, including flexible and stretchable electronics, drone-integrated last-mile logistics, and Industry 5.0 educational transformation. For prospective students and collaborators seeking a vibrant, internationally connected research environment where robotics, AI, and engineering converge with both industrial relevance and scientific ambition, KFUPM represents a compelling and rapidly ascending destination.
Research Focus
Key Achievements
Top Papers
- 1Neural Information Processing695 citations · 2017
- 2A Comprehensive Overview of Large Language Models465 citations · 2025
- 3Rethinking engineering education at the age of industry 5.0384 citations · 2021
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- 7Maintenance, Modeling and Optimization115 citations · 2000
- 8Node Localization in Robotic Sensor Networks for Pipeline Inspection107 citations · 2015
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Faculty & Researchers
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