Edward Isoghie is a Ph.D. candidate in Industrial and Systems Engineering at the University of Louisville, specializing in human-centered AI, cognitive ergonomics, and extended reality (XR)/digital twin–enabled solutions for workforce development and supply chain resilience. His work bridges academic research, industry consulting, and hands-on engineering to deliver deployable training systems for Industry 4.0 and 5.0. He has strong expertise in quantitative modeling and simulation, human factors, and enterprise systems, along with extensive experience designing and executing mixed-methods studies, developing prototype digital twins, and building AI-driven immersive systems.