Rosebella Osei

Missouri University of Science and Technology

Papers

Total Citations

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About

Rosebella Osei is a pioneering researcher at the intersection of intelligent systems and industrial safety, with a primary focus on human-machine collaboration in the mining sector. Her work critically examines how emerging artificial intelligence and automation technologies can be integrated into mining operations to enhance both productivity and worker safety. Osei’s most-cited paper, “Human-machine collaboration in mining: A critical review of emerging frontiers of intelligence systems in the mining industry” (2025), offers a comprehensive synthesis of the latest advancements in autonomous haulage, remote monitoring, and predictive maintenance, while also addressing the socio-technical challenges of human-robot interaction in hazardous environments. This review has quickly become a foundational resource for researchers and engineers seeking to bridge the gap between theoretical AI frameworks and practical mining applications. Though early in her career, Osei’s work is distinguished by its forward-looking perspective on ethical AI deployment and its emphasis on designing systems that augment rather than replace human decision-making. Her contributions are particularly notable for their interdisciplinary approach, drawing from computer science, industrial engineering, and occupational health to chart a safer, more efficient future for one of the world’s most dangerous industries.