Mary Akinyemi

University of Lagos, Austin Peay State University

Papers

Total Citations

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About

Dr. Mary Akinyemi is a researcher at the forefront of integrating robotics and artificial intelligence for industrial infrastructure monitoring. Her primary research areas include autonomous unmanned vehicle navigation, Markov decision processes, and corrosion detection modeling. Dr. Akinyemi’s major contribution lies in developing a novel framework that applies Markov decision processes to optimize unmanned vehicle paths for pipeline inspection, a work that has garnered 8 citations and laid the groundwork for more efficient, automated maintenance systems. She has further advanced this field by designing an ensemble algorithm to simulate and analyze corrosion data, addressing critical model errors and enhancing predictive accuracy in real-world applications. Her 2023 paper on this topic has already attracted 3 citations, signaling growing recognition among peers. Dr. Akinyemi’s work is notable for bridging theoretical decision-making models with practical robotic solutions, directly tackling challenges in energy and infrastructure sectors. Her research not only improves inspection reliability but also reduces human risk in hazardous environments, marking her as an emerging leader in intelligent robotics for industrial safety.