Ahmed Khalil

American University of Sharjah, Ohio University

Papers

Total Citations

H-Index

About

Ahmed Khalil is a robotics and automation researcher whose work addresses pressing environmental and industrial challenges through innovative mechatronic design. His primary research areas include autonomous systems for renewable energy maintenance, robotic manipulation, and environmental monitoring using deep learning. Khalil’s most impactful contribution is his pioneering work on a hybrid drone system for cleaning solar panels, which tackles the critical issue of dust accumulation that can reduce energy output by up to 30%. This 2022 paper, with 12 citations, proposes a novel design for distributed solar units used in streetlights and remote power stations. Earlier, he developed a feedback control algorithm for robotic cranes to suppress load swing, a fundamental problem in industrial automation, detailed in his 2000 paper (8 citations). Most recently, in 2024, Khalil has advanced environmental robotics by applying deep neural networks to oil spill detection, aiming to enable autonomous cleaning robots. His work bridges practical engineering with sustainability, demonstrating how robotics can maintain renewable energy infrastructure and protect marine ecosystems. Khalil’s research trajectory shows a consistent focus on creating intelligent, autonomous solutions for real-world problems.