CV

Education

• M.S. in Guangzhou, China, South China University of Technology, Sept.2017-Jun.2021
  • GPA: 4.01/5.0 Average Grades: 90/100 Rank: 3/137
  • Relevant Courses: Principles of Machine, C Language Programming, Mechanical Design
  • Top Grade Scholarship at School Level (5%), twice, 2018-2019 & 2019-2020
  • First Prize of the Thirteenth “Higher Education Cup” National University Students’ Innovation Competition of Advanced Mapping Technology and Product Information Modeling (The Highest Level National Competition for graphic arts programs), 2020
  • First Prize of the Sixth Central and Western Region College Students’ Advanced Mapping Technology and Product Information Modeling Innovation Competition, 2020
• B.S. in Chongqing, China, Southwest University, Sept.2021-Jun.2024
  • GPA: 3.6/4.0 Average Grades: 89.75/100
  • Relevant Courses: Optimal Theories and Methods, Numerical Analysis, Modern Manufacturing Engineering
  • Top Grade Scholarship at School Level, twice, 2021-2022 & 2022-2023

RESEARCH EXPERIENCE

• Automatic Liquid Injection Machine for Heat Pipes
  • Project Leader Sept.2021-Feb.2022
    • Built the three-dimensional model of mechanical components and analyzed the mechanical property of materials
    • Designed the electrical control system and assembled mechanical and electronic components
    • Compiled the ladder logic for Mitsubishi PLC to control the system operation
    • Coordinated the project with team members, professors and staffs
• Exploring The Machine Vision-Based Method for Positioning The Center of Heat Pipe Orifices
  • Project Leader Feb.2022-Sept.2023
    • Adopted to various conventional machine vision algorithms to solve the center of the heat pipe orifices
    • Proposed an improved method based on random hough transform
    • Submitted a paper as the second author to the journal of Chongqing University (Currently in peer review)
    • Granted a patent as the third author (Patent No.ZL 2022 1 0592749.4)
• System Development of Machine Vision-Based Positional Solution Algorithm for Ultra-Thin Vapour Chamber
  • Project Leader Feb.2022‐Jun.2024
    • Utilized the deep learning method to improve the traditional visual positioning algorithm
    • Deployed the proposed algorithm to the assembled system
    • Submitted a paper as the first author to Signal, Image and Video processing (Currently in the second round of peer review)
    • Granted a patent as the first author (Patent No.ZL 2022 1 1325575.1)

Skills

• Computer Skills:
  • Operating System: Windows, Linux
  • Programming Language: C++, Python
  • Software and development platform: Visual Studio, Pycharm, Qt Creator, MATLAB, Solidworks, AutoCAD
• Language Skills:
  • English: TOFEL: 95(Reading 27, Listening 23, Speaking 21, Writing 24)
  • Mandarin Chinese (native language)

INTERNSHIP

• Guangdong NewIdea Technology Co., Ltd. (China), Research & Development Engineer Jul.2021‐Jun.2024
  • Worked with experienced engineers in the design, assembly and commissioning of mechanical equipment
  • Application of image acquisition system for machine vision experiments
  • Utilized the servers to train, test, package and deploy the neural networks
  • Used the machine vision and deep learning to solve material detection and positioning problems that occur in real manufacturing
• South China University of Technology, Research Assistant Jun.2024‐present
  • Assisted the supervisor to complete project related experiments and data analysis and processing
  • Mentored lab juniors to complete experiments in machine vision and neural networks

Publications

Deep learning-based machine vision algorithm for target detection and positional solution of ultrathin vapour chamber

Center of circle positioning method of heat pipe orifice based on random hough transform