Johnson Opeyemi Abiola
Papers
1
Total Citations
2
H-Index
1
About
Dr. Johnson Opeyemi Abiola is a forward-thinking researcher at the intersection of artificial intelligence, robotics, and industrial engineering. His work focuses on revolutionizing how industries approach equipment reliability, moving from costly reactive repairs to intelligent, data-driven predictive maintenance (PdM). His most-cited paper, “Artificial intelligence and robotics in predictive maintenance: a comprehensive review” (2026), serves as a seminal roadmap for the field, synthesizing how AI algorithms and autonomous robotic systems can collaboratively monitor, diagnose, and preempt equipment failures. This contribution has already garnered attention, accumulating 2 citations in a short time and establishing a framework for future smart factory implementations. Dr. Abiola’s research is notable for bridging the gap between theoretical AI models and practical, deployable robotic solutions, offering industries a clear path toward reduced downtime and optimized operational costs. His work is particularly impactful for students and engineers seeking to understand the convergence of Industry 4.0 technologies, positioning him as a key voice in the next wave of manufacturing and infrastructure innovation.
Research Focus
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Top Papers
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