Khaled Al Jaloud

King Abdulaziz City for Science and Technology

Papers

Total Citations

H-Index

About

Khaled Al Jaloud is a researcher at the forefront of intelligent autonomous systems, with a focused expertise in deep learning control for mobile robotics and their critical applications in healthcare. His work directly addresses pressing societal needs, most notably demonstrated in his highly cited 2021 paper on "Intelligent Autonomous-Robot Control for Medical Applications," which tackles the urgent challenge of rapidly deploying robotic systems in pandemic-stricken healthcare facilities. Al Jaloud’s core contributions lie in developing sophisticated control architectures that integrate computer vision with deep learning, as seen in his work on CNN-PID controllers for mobile robots and deep learning controllers for line-follower systems. These innovations aim to create autonomous vehicles and robots that are not only accurate and efficient but also adaptable to changing environments. With a growing body of work accumulating over 55 citations since 2021, Al Jaloud is establishing himself as a key voice in the next generation of robotics, pushing the boundaries of how autonomous machines can safely and effectively integrate into society, from self-driving cars to life-saving medical support systems.