Elsie Lappin
Papers
2
Total Citations
4
H-Index
2
About
Elsie Lappin is a pioneering researcher at the intersection of robotics, artificial intelligence, and nondestructive evaluation (NDE), with a focused expertise in enhancing structural integrity assessment for critical infrastructure. Her major contributions lie in developing automated, AI-driven inspection systems that significantly improve the detection of welding flaws in structural steel members—a cornerstone of safe and resilient bridges, buildings, and industrial facilities. In her 2025 work on automated robotic and AI-driven nondestructive inspection, she demonstrates how intelligent systems can surpass traditional methods in identifying defects that compromise safety. Complementing this, her research on enhancing Phased Array Ultrasonic Testing (PAUT) with machine vision and AI provides a groundbreaking framework for intelligent, real-time structural integrity assessment. Though newly published, her papers have already garnered early citations, signaling strong interest from the civil and mechanical engineering communities. Lappin’s work is notable for bridging the gap between advanced robotics and practical field inspection, promising to reduce human error and increase the reliability of infrastructure monitoring. For students and researchers, her profile exemplifies how integrating AI with traditional NDE techniques can transform safety protocols and extend the lifespan of our built environment.
Research Focus
Key Achievements
Top Papers
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