Dr. Hong Lang, Tongji University, China
Hong Lang, Ph.D., is a Postdoctoral Research Fellow at the Illinois Center for Transportation, University of Illinois at Urbana-Champaign, and previously held positions at Tongji University in Shanghai, China. His research expertise encompasses nondestructive testing and evaluation, with a focus on self-developed systems for bidirectional 3-D triangulation and LiDAR global registration. Dr. Lang has contributed significantly to intelligent infrastructure survey and maintenance, accumulating extensive data on road surface distress and developing 3-D digital models for defect analysis.
Professional Profile:
ORCID
Summary of Suitability for Best Researcher Award:
Dr. Hong Lang is an exceptional researcher with a strong focus on nondestructive testing and evaluation, intelligent infrastructure survey and maintenance, and the practical application of research findings in these domains. His research contributions are extensive, including the development of innovative systems such as bidirectional 3-D triangulation and LiDAR global registration, as well as advanced AI-based models for pavement distress detection. His expertise in machine learning, computer vision, and sensor-based measurement has led to significant advancements in intelligent infrastructure management, particularly in the context of road surface distress detection and analysis.
Education:
- University of Illinois at Urbana-Champaign, Champaign, Chicago
- Postdoctoral Research Fellow, Illinois Center for Transportation, Jul. 2024 – Present
- Tongji University, Shanghai, China
- Postdoctoral Research Fellow, College of Transportation Engineering, Oct. 2021 – Jul. 2024
- Associate Research Fellow, College of Transportation Engineering, Oct. 2021 – Jul. 2024
- Ph.D. in College of Transportation Engineering, Sep. 2016 – Jun. 2021
- Thesis: Automatic Distress Detection and Classification Algorithms Using 3-D Pavement Images
- Committee: Dr. Feipeng Xiao, Dr. Jian John Lu, Dr. De-Cun James Dong
- Tianjin University of Science & Technology, Tianjin, China
- Bachelor’s Degree in Measurement and Control Technology & Instrument, Sep. 2012 – Jun. 2016
Professional Experience:
- University of Illinois at Urbana-Champaign, Champaign, Chicago
- Postdoctoral Research Fellow at Illinois Center for Transportation, Jul. 2024 – Present
- Tongji University, Shanghai, China
- Postdoctoral Research Fellow at the College of Transportation Engineering, Oct. 2021 – Jul. 2024
- Associate Research Fellow at the College of Transportation Engineering, Oct. 2021 – Jul. 2024
- Tongji University, Shanghai, China
- Ph.D. Student, College of Transportation Engineering, Sep. 2016 – Jun. 2021
Publication top Notes:
Augmented Concrete Crack Segmentation: Learning Complete Representation to Defend Background Interference in Concrete Pavements
The Two-Step Method of Pavement Pothole and Raveling Detection and Segmentation Based on Deep Learning
Automatic Pixel-Level Segmentation of Multiple Pavement Distresses and Surface Design Features with PDSNet II
Plane-based global registration for pavement 3D reconstruction using hybrid solid-state LiDAR point cloud
Automated crack segmentation on 3D asphalt surfaces with richer attention and hybrid pyramid structures