Immanuel John Samuel

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About

Immanuel John Samuel is a leading researcher in civil infrastructure management, specializing in the integration of advanced digital technologies for structural health monitoring and inspection. His work primarily focuses on leveraging Building Information Modeling (BIM) and Augmented Reality (AR) to enhance the efficiency and accuracy of bridge inspections. His most-cited paper, "Defect-oriented supportive bridge inspection system featuring building information modeling and augmented reality" (2022), has garnered 35 citations, showcasing its influence in the field. Samuel’s major contribution lies in developing a defect-oriented framework that combines BIM’s data-rich models with AR’s real-time visualization, enabling inspectors to identify, document, and analyze structural defects more intuitively and systematically. This approach reduces human error and improves decision-making in maintenance workflows. His research has significant implications for aging infrastructure, offering a scalable solution for proactive asset management. Samuel’s work is notable for its practical application, bridging the gap between theoretical digital twin concepts and on-site inspection needs. He continues to advance smart infrastructure systems, making him a key figure in the evolution of resilient and data-driven civil engineering practices.