职称：

Job Title:

教授

Professor

学历（学位）

Degree

博士研究生

Doctor

联系邮箱：

E-mail:

tangyunchao@dgut.edu.cn

Professor, Ph.D. Supervisor, and Distinguished Leading Talent at Dongguan University of Technology. Recognized as one of the World's Top 2% Scientists (Stanford University & Elsevier) and featured in a special report on CCTV-10. Principal Investigator for over eight provincial and ministerial-level projects, including the National Natural Science Foundation of China (NSFC). Recipient of the First Prize of the Guangdong Provincial Measurement, Control, and Instrumentation Science and Technology Award. Holder of over 10 patents in computer vision, robotics, and control. Technical achievements successfully applied to major engineering projects, including the Sichuan-Tibet Railway and the Zangmu Bridge. Author of over 20 papers in top-tier SCI journals (CAS Q1) and Editorial Board Member for six SCI journals. Council Member of the UHPC Branch of the Asian Concrete Federation and the Embodied Intelligence Branch of the China Association for Mechatronics Technology and Application.

主要研究方向及内容

Main Research area and subject

结构信息感知、计算机视觉、机器人、组合结构

Structural Information Perception, Computer Vision, Robotics, Composite Structures

学术成果

Academic Achievements

Principal Investigator for over 25 research projects, including the National Natural Science Foundation of China (NSFC). Author of over 40 SCI papers (including 7 ESI Hot Papers and 13 ESI Highly Cited Papers) with an h-index of 40.

Recipient of multiple awards, including the First Prize of the Guangdong Provincial Measurement, Control, and Instrumentation Science and Technology Award. Editorial Board Member for Buildings and Frontiers in Materials, and Council Member of the AI Committee of the Asian Concrete Federation.

(1) 3D vision technologies for a self-developed structural external crack damage recognition robot; Automation in Construction. 2024, 159: 105262. (ESI Hot Paper & Highly Cited Paper)

(2) Beyond time: Enhancing corrosion resistance of geopolymer concrete and BFRP bars in seawater; Composite Structures. 2024, 322, 117439.

(3) Enhanced Precision in Dam Crack Width Measurement: Leveraging Advanced Lightweight Network Identification for Pixel-Level Accuracy; International Journal of Intelligent Systems. 2023, 9940881. (ESI Hot Paper & Highly Cited Paper)

(4) Novel visual crack width measurement based on backbone double-scale features for improved detection automation; Engineering Structures. 2023, 274: 115158. (ESI Hot Paper & Highly Cited Paper)

Real-time detection of surface deformation and strain in recycled aggregate concrete-filled steel tubular columns via four-ocular vision; Robotics and Computer-Integrated Manufacturing. 2019, 59, 36-46. (ESI Hot Paper & Highly Cited Paper)