Hitoshi Furuta
Papers
1
Total Citations
15
H-Index
1
About
Hitoshi Furuta is a leading figure in the application of artificial intelligence and advanced sensing technologies to civil infrastructure management. His research primarily focuses on structural health monitoring, bridge maintenance, and the use of deep learning for automated inspection. Furuta’s most notable contribution is pioneering the use of unmanned aerial vehicles (UAVs) combined with deep learning for concrete crack detection, a breakthrough that addresses the critical shortage of experienced inspection engineers. His 2019 paper on this topic, which has garnered 15 citations, demonstrates a practical, scalable solution for assessing deteriorating infrastructure. Beyond this, Furuta has made significant strides in developing reliability-based design and life-cycle cost analysis for bridges, helping to shift maintenance strategies from reactive to predictive. His work is widely recognized for bridging the gap between cutting-edge computer science and real-world civil engineering challenges, making him a key innovator in the push toward smarter, safer, and more resilient infrastructure systems.
Research Focus
Key Achievements
Top Papers
- 1Concrete Crack Detection Using UAV and Deep Learning15 citations · 2019