Muhammad Gufran

National University of Computer and Emerging Sciences

Papers

Total Citations

H-Index

About

Muhammad Gufran is a researcher specializing in industrial automation and robotics, with a particular focus on warehouse logistics and manufacturing efficiency. His most-cited work, "Development of Automated Guided Vehicle for Warehouse Automation of a Textile Factory" (2021), addresses a critical need in Pakistan’s textile industry—the nation’s largest export sector, contributing 544 billion PKR ($3.47 billion USD) annually. By designing an automated guided vehicle (AGV) tailored for textile factory warehouses, Gufran’s research directly targets operational bottlenecks in material handling, reducing human error and improving throughput. While his citation count (3) reflects an emerging career, the practical relevance of his work is underscored by its alignment with Pakistan’s economic priorities. Gufran’s contributions bridge the gap between theoretical robotics and real-world industrial challenges, offering scalable solutions for developing economies. His research not only advances automation technology but also supports the modernization of traditional manufacturing sectors, positioning him as a promising voice in applied robotics and industrial engineering.