Mohammed Alshehhi

Mohammed Bin Rashid School of Government

Papers

1

Total Citations

32

H-Index

1

About

Mohammed Alshehhi is a leading researcher in autonomous systems and sustainable energy solutions for unmanned aerial vehicles. His work focuses on overcoming critical barriers to drone automation, particularly the limitations of battery life and the need for manual recharging. In his highly cited 2017 paper, "Autonomous Inductive Charging System for Battery-operated Electric Drones," Alshehhi introduced a solar-powered charging station that enables fully autonomous, contactless recharging—eliminating human intervention and extending drone operational range. This contribution has garnered 32 citations and is foundational for advancing long-endurance drone missions in logistics, surveillance, and environmental monitoring. Alshehhi’s research uniquely integrates inductive power transfer, renewable energy harvesting, and intelligent control systems, positioning him at the forefront of sustainable robotics. His work not only addresses immediate practical challenges but also paves the way for scalable, self-sustaining drone fleets. For students and researchers, Alshehhi exemplifies how innovative engineering can bridge the gap between theoretical autonomy and real-world deployment, making him a key figure to follow in the evolution of autonomous aerial systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
32
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Inductive Charging System for Battery-operated Electric Drones
32 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Mohammed Bin Rashid School of Government

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago