Majid Khonji

Khalifa University of Science and Technology

Papers

Total Citations

H-Index

About

Majid Khonji is a leading researcher at the intersection of autonomous systems, robotics, and artificial intelligence, with a focus on solving critical challenges in mobility and energy. His work primarily targets the safe and efficient deployment of unmanned aerial vehicles (UAVs) and self-driving ground robots. A standout contribution is his pioneering work on an **autonomous inductive charging system for battery-operated electric drones**, which addresses the fundamental bottleneck of battery life for drone automation—a paper that has garnered **32 citations** and laid groundwork for persistent drone operations. Khonji also advances vehicle dynamics with a **hybrid deep learning approach for wheel slip prediction in off-road environments**, a key enabler for safe navigation on unpaved terrains. Most recently, he has tackled the pressing logistics challenge of **last-mile delivery**, proposing AI-augmented self-driving delivery robots designed for safety and autonomy. His research demonstrates a clear trajectory from energy solutions to intelligent control, culminating in real-world applications for autonomous logistics. With a growing citation impact, Khonji’s work is shaping the future of autonomous mobility, making him a notable figure in robotics and AI-driven transportation.