Abdul Khader Jilani Saudagar

Imam Mohammad ibn Saud Islamic University

Papers

Total Citations

H-Index

About

Dr. Abdul Khader Jilani Saudagar is a leading researcher at the intersection of artificial intelligence, robotics, and safety systems. His work focuses on developing intelligent, autonomous solutions for critical real-world challenges, particularly in fire safety and robotic manipulation. Dr. Saudagar’s most cited paper, "Automated Fire Extinguishing System Using a Deep Learning Based Framework" (2023, 14 citations), introduces a groundbreaking approach to fire suppression by leveraging deep learning to detect and extinguish fires autonomously, significantly reducing human risk. This work addresses a pressing global need, as manual firefighting remains dangerous and often ineffective. In parallel, his research on "MoMo: Mouse-Based Motion Planning for Optimized Grasping to Declutter Objects Using a Mobile Robotic Manipulator" (2023, 2 citations) advances cost-effective robotics for domestic and industrial decluttering. By integrating YOLO-based object detection with optimized motion planning, Dr. Saudagar’s system enables mobile manipulators to efficiently grasp and clear environments, demonstrating practical AI-driven automation. His contributions are shaping the future of autonomous systems, with potential applications in emergency response, manufacturing, and smart homes. Dr. Saudagar’s work exemplifies how deep learning can transform robotics into life-saving and productivity-enhancing tools.