Joseph Ekong
Papers
1
Total Citations
2
H-Index
1
About
Joseph Ekong is a forward-thinking researcher at the intersection of advanced manufacturing, workforce development, and Industry 4.0 technologies. His work centers on bridging the gap between emerging industrial automation and practical human skill acquisition, particularly within the foundry and metalcasting sectors. His most cited paper, "A framework for Industry 4.0 workforce training through project-based and experiential learning approaches" (2024), proposes a novel pedagogical model that integrates hands-on, project-based learning with cutting-edge automation to prepare workers for smart factories. Drawing on over five years of direct industry experience—including managing a 3D printing department for sand molds at Trident Alloys and working with Fanuc’s ABB robotic systems—Ekong’s research is grounded in real-world manufacturing challenges. His dual role as a Quality Engineer and department manager gives his work unique practical authority, ensuring his frameworks are not only theoretically sound but immediately applicable. By combining deep industry expertise with academic rigor, Ekong is shaping how the workforce of tomorrow will be trained to thrive in increasingly automated, data-driven production environments.
Research Focus
Key Achievements
Top Papers
- 1