Saad Alhuwaimel

King Abdulaziz City for Science and Technology

Papers

Total Citations

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About

Dr. Saad Alhuwaimel is a leading researcher at the intersection of artificial intelligence, robotics, and healthcare, whose work is shaping the future of autonomous systems. His primary research areas include intelligent robot control, deep learning for mobile robotics, and computer vision. Dr. Alhuwaimel’s most significant contributions lie in developing advanced control systems that enable robots to operate autonomously in complex, real-world environments. His highly cited 2021 paper on "Intelligent Autonomous-Robot Control for Medical Applications" (19 citations) directly addresses critical healthcare infrastructure gaps exposed by the COVID-19 pandemic, proposing robotic solutions for infectious patient care. He further advanced the field with his work on "Computer Vision-Control-Based CNN-PID for Mobile Robot" (16 citations), integrating deep learning with classical control theory for self-driving systems. His deep learning approach for mobile-robot motion control (13 citations) and his 2022 study on deep learning control for autonomous robots (7 citations) have collectively established him as a key innovator in creating efficient, adaptive, and intelligent robotic platforms. Dr. Alhuwaimel’s research is pivotal for the next generation of autonomous vehicles and medical robotics.