Khan Sohelrana

Papers

Total Citations

H-Index

About

Khan Sohelrana is a researcher at the forefront of smart automation and Internet of Things (IoT) applications, with a particular focus on developing intelligent, sustainable solutions for everyday tasks. His most cited work, "A Review on Smart IoT based Gesture Controlled Grass Cutting Vehicle" (2020, 9 citations), exemplifies his innovative approach to merging robotics with user-friendly control systems. In this influential paper, Sohelrana introduces a solar-powered grass cutting machine that eliminates physical obstacles by enabling hand gesture control through a remote camera mounted atop the vehicle. This design not only enhances accessibility—allowing operation from any direction—but also promotes eco-friendly energy use. Beyond this flagship study, his research portfolio consistently explores the intersection of IoT, gesture recognition, and autonomous systems, aiming to reduce human effort while increasing efficiency in agricultural and domestic machinery. Sohelrana’s work has garnered attention for its practical, cost-effective solutions that bridge the gap between advanced technology and real-world usability. His contributions are particularly valuable for students and researchers interested in smart agriculture, renewable energy integration, and human-machine interaction.