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Shiyonghua

ProfessorDoctoral Supervisor,

Tel:

Email: yhuashi@scut.edu.cn

Department: School of Mechanical and Automotive Engineering

Office Location:

Research Interests: Intelligent robot, Robotic welding
  • Biography
  • Education
  • Admission Information
  • Work Experience
  • Social Position
  • Research Areas
  • Courses Taught
  • Research Project
  • Selected Publications
  • Achievements
  • Patent
  • Honor
  • Software achievement

Biography

Education

1998.09-2001.06 South China University of Technology, Ph. D

1995.09-1998.04 South China University of Technology, Master

1990.09-1994.06 South China University of Technology, Undergraduate


Admission Information

WorkExperience

Social Position

Research Areas

Intelligent robot, robotic welding, underwater welding


Courses Taught

Research Project

Selected Publications

  • Wang, Zishun;Shi, Yonghua*;Jiang, Shiyi,Passive vision based three-dimensional seam tracking using a stereo vision system with a single HDR camera,Measurement,2025
  • Shi, Yonghua*;Wang, Zishun;Liang, ZhuoYong;Li, Bohan;Lin, Ziluo,A welding seam tracking algorithm adaptive to variable groove type: An interactive segmentation passive vision method,Optics and Laser Technology,2025
  • Zhan, Jiatong;Ye, Xiongyue;Liu, Zhizhong;Zhong, Shaotao;Zhou, Yuchao;Zhang, Rong;Liang, Zuxin;Shi, Yonghua*,Numerical investigation of dynamic arc behavior in K-TIG welding enhanced by an external sinusoidal alternating longitudinal magnetic field,International Journal of Thermal Sciences,2025
  • Chen, Xiyin;Zhang, Xiaohu;Shi, Yonghua*;Huang, Yuxiang;Pang, Junjie,Dual angle magnetic arc blow estimation in keyhole tungsten inert gas welding using high dynamic range imaging and a lightweight vision transformer network with coordinate attention and multiple auxiliary branches,Engineering Applications of Artificial Intelligence,2025
  • Shi, Yong-Hua;Wang, Zi-Shun;Chen, Xi-Yin;Cui, Yan-Xin;Xu, Tao;Wang, Jin-Yi,Real-time K-TIG welding penetration prediction on embedded system using a segmentation-LSTM model,Advances in Manufacturing,2023

Achievements

Patent

Honor

Software achievement