معرفی
Tengjiao Jiang is a Researcher at the Department of Structural Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). Their work focuses on computer vision and deep learning applications for structural monitoring of transportation infrastructure.
Research Interests:
- Computer Vision (CV)
- Machine Learning (ML)
- Optical Measurement
- Structural Health Monitoring (SHM)
- Condition Assessment of Transportation Infrastructures
Recent Research Trends: Their publications (2020–2025) emphasize computer vision systems for railway and bridge monitoring, including uplift measurement, corrosion detection, displacement analysis, and damage assessment using CNNs and transformers. Key methods involve IMU sensors, line tracking, photogrammetry, and 3D reconstruction.
Scientific Awards:
- Best Paper Award at IMAC-XLII conference (Jan 2024)
- Olympiad Medal in Olympiad in Engineering Science (May 2023)
Supervision: Co-supervises PhD student Ziyue Lu (2022–present) and has co-supervised multiple Master’s students on topics like vision-based bridge inspection, modal identification, and vibration response analysis.
Labs & Outreach: Conducts field tests on the Oslo Airport Line with vision-based monitoring systems.
