Papers
2
Total Citations
7
H-Index
2
About
Dr. Nansong Wu’s research sits at the intersection of engineering education and intelligent infrastructure, with a focus on preparing students for modern design challenges while developing cutting-edge tools for structural health monitoring. In engineering education, Wu has pioneered methods for measuring self-efficacy in modeling and design courses—a critical factor in training future engineers to navigate rapid technological advances in high-performance computing, additive manufacturing, robotics, and automation. This work, published in 2020 and cited 4 times, addresses how educators can better equip students for complex, technology-driven engineering environments. On the infrastructure side, Wu’s 2019 study on robotics and deep learning for structural health monitoring of utility pipes tackles the urgent challenge of underground sewer condition assessment. By proposing a framework that moves beyond traditional wire-guided CCTV inspection, this work—cited 3 times—integrates robotics and AI to enhance the detection and diagnosis of pipe defects. While still early in their career, Wu’s dual focus on educational measurement and applied intelligent systems demonstrates a commitment to bridging pedagogical innovation with real-world engineering problems, laying groundwork for safer, smarter infrastructure and more capable engineers.
Research Focus
Key Achievements
Top Papers
- 1
- 2