Chenyu Zhang
Ph.D. Candidate@SBU
Hi! I'm Chenyu, a fourth-year Ph.D. candidate in the Department of Civil Engineering at Stony Brook University, supervised by Dr. Ruwen Qin.Â
I received my B.S. degree in Bridge Engineering and M.S. degree in Civil Engineering from Chang'an University in China.
My research lies in deep learning-based computer vision approaches for structural health monitoring of infrastructure, transportation asset management, and resilient infrastructure systems.
05/2025: Honored to receive the Graduate Research Merit Award from the Department of Civil Engineering at Stony Brook University!
03/2025: I was presented the Third Place for Best Talk in Stony Brook University's Three Minute Thesis Competition 2025! [Link] [Video]
01/2025: I was awarded Runner-Up in the 2025 TRB Annual Meeting Three-Minute Thesis (3MT) Competition!
01/2025: I presented "Automated Structural Component Recognition for Bridge Inspection Using Scribble Annotations" at the 2025 TRB Annual Meeting!
10/2024: My first-author paper "When Segment Anything Model Meets Inventorying of Roadway Assets" is published in International Journal of Transportation Science and Technology!
09/2024: My first-author paper "Weakly-supervised structural component segmentation via scribble annotations" is published in Computer-Aided Civil and Infrastructure Engineering!
08/2024: I presented "Attention-Enhanced Co-Interactive Fusion Network (AECIF-Net) for automated structural condition assessment in visual inspection" at the Bridging Transportation Researchers (BTR) Conference!
06/2024: I presented "When Segment Anything Model Meets Inventorying of Roadway Assets" at the International Conference on Transportation and Development (ICTD 2024)!
01/2024: My first-author paper "Attention-Enhanced Co-Interactive Fusion Network (AECIF-Net) for automated structural condition assessment in visual inspection" is published in Automation in Construction!
06/2023: I passed my Ph.D. qualifying exam and am officially a Ph.D. Candidate!
02/2023: My first-author paper "A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection Images" is published in Transportation Research Record!
01/2023: I gave an oral presentation, "A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection Images," at the 2023 Transportation Research Board (TRB) Annual Meeting!