Papers
3
Total Citations
52
H-Index
2
About
Immanuel Edinbarough is a distinguished researcher and educator whose work bridges the frontiers of manufacturing engineering, robotics, and automation. With over 26 years of teaching and research experience, his primary contributions lie in developing intelligent, vision-based systems for industrial automation and exploring innovative pedagogies for engineering technology education. His most influential work, "A vision and robot based on-line inspection monitoring system for electronic manufacturing" (2005), has garnered 47 citations, establishing a foundational approach for real-time quality control in electronic production lines. Edinbarough has also pioneered the integration of web-based control architectures for automated manufacturing cells, as detailed in his feasibility study on non-site-based hands-on curricula, which proposes an intelligent system linking a CNC milling machine, SCARA robot, and feed station. More recently, he has applied text mining to assess student learning in interactive simulation environments, reflecting his commitment to advancing both technical systems and educational methods. His teaching spans CAD/CAM/CIM, product and process design, materials science, machine design, and renewable energy, making him a versatile figure whose research continues to shape modern manufacturing and engineering education.
Research Focus
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