Ji He

Papers

Total Citations

H-Index

About

Dr. Ji He is a leading researcher at the intersection of structural health monitoring (SHM) and edge computing, with a core focus on advancing deep learning for infrastructure maintenance. His most notable contribution is the development of **CrackESS**, a self-prompting crack segmentation system specifically designed for edge devices. This work, published in 2025 and already garnering 2 citations, addresses a critical challenge: enabling real-time, accurate defect detection on resource-constrained hardware without relying on cloud connectivity. By integrating self-prompting mechanisms with lightweight neural architectures, Dr. He’s research bridges the gap between high-performance computer vision and practical, on-site deployment. His contributions are pivotal for early detection of structural defects, directly enhancing long-term safety and cost-efficiency in civil infrastructure. Dr. He’s work is particularly impactful for researchers and engineers seeking to deploy intelligent SHM systems in remote or bandwidth-limited environments, marking a significant step toward autonomous, decentralized infrastructure monitoring.