Shafeek Ahmad
Papers
1
Total Citations
3
H-Index
1
About
Shafeek Ahmad is a researcher in mechanical and industrial engineering, with a focus on the design and optimization of automated material handling systems. His work centers on improving the structural integrity and performance of Automated Guided Vehicles (AGVs)—mobile robots essential for transporting goods in production lines and warehouses. Ahmad’s most-cited paper, “Improvement of Automated Guided Vehicle Design Using Finite Element Analysis” (2014), addresses the critical challenge of ensuring AGV designs can withstand mechanical stress under varying payloads. By applying finite element analysis, he provides a systematic method for enhancing durability and safety, contributing to more reliable automation in manufacturing and logistics. Though his citation count is modest, his research offers practical insights for engineers seeking to optimize AGV chassis and frame designs. Ahmad’s work underscores the importance of simulation-driven design in reducing prototype failures and improving operational efficiency. His contributions are particularly valuable for students and practitioners interested in the intersection of robotics, structural mechanics, and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1