
About
Samuel Afolaranmi is a Researcher affiliated with the Department of Automation Technology and Mechanical Engineering. His work centers on industrial digitalization and AI-driven solutions, contributing to UN Sustainable Development Goals. His interdisciplinary approach bridges engineering and social science domains.
Research Interests: Afolaranmi focuses on cyber-physical systems, industrial AI applications, and digital transformation in manufacturing. Key areas include cloud-based security, conveyor system optimization, and socio-technical aspects of automation like mitigating social isolation in aging populations through technology.
Publication Trends: Recent works (2023-2025) demonstrate a strong emphasis on AI implementation in industrial equipment lifecycle management, energy-efficient production systems, and digital product passports. His research consistently intersects computer science, mechanical engineering, and sustainable development.
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