48 / 100

Mr. jinghua Li | Vibration Signal Analysis | Young Scientist Award

Orcid Profile

Educational Details:

Li Jinghua completed his undergraduate studies in Mechanical Design, Manufacturing, and Automation at Shenyang Ligong University from September 2018 to July 2022. Following this, he pursued a Master’s degree in Mechanical and Electronic Engineering at the same university, with his studies spanning from September 2022 to March 2025. Throughout his academic journey, Li has developed a strong foundation in mechanical engineering principles, focusing on the integration of mechanical systems with electronic components, which equips him with the skills necessary for innovative design and problem-solving in the field.

Undergraduate

During his academic journey, Li Jinghua has gained comprehensive knowledge in both undergraduate and master’s degree programs. His undergraduate coursework included foundational subjects such as Basics of Mechanical Design and Manufacturing, Mechanical Principles, Mechanical Design, Basics of Control Engineering, Hydraulic Transmission, Material Mechanics, and Theoretical Mechanics. These courses provided him with a solid understanding of mechanical systems and their applications. In his master’s program, he expanded his expertise to encompass advanced topics such as Signal Analysis and Processing, Digital Image Processing and Machine Vision, Artificial Intelligence and Machine Learning, Mechanical Engineering Testing, and Modern Control Theory. This blend of traditional mechanical engineering principles and cutting-edge technological applications positions Li to contribute significantly to the field of mechanical and electronic engineering.

Textbooks

Li Jinghua serves as the Deputy Editor-in-Chief for the publication “Engineering Application and Practice of Intelligent Computing Power,” published by People’s Posts and Telecommunications Press. In this role, he contributes to the editorial direction and quality of the work, focusing on the practical applications of intelligent computing in engineering. His expertise in mechanical and electronic engineering, combined with his understanding of advanced computing technologies, allows him to guide the inclusion of cutting-edge research and innovative practices. Through this publication, Li aims to promote knowledge sharing and collaboration among professionals in the field, enhancing the integration of intelligent computing solutions in engineering practices.

Software works

Li Jinghua has been involved in several innovative projects that showcase his expertise in image processing and machine learning. One of his notable projects is the Video Target Tracking and Area Detection System based on YOLOv8, which enhances real-time tracking and analysis of moving objects in video streams. Additionally, he has developed a Picture Style Migration System utilizing VGG19, enabling the transformation of images to mimic various artistic styles. Another significant project is the GAN-based Character Avatar Generation System, which employs Generative Adversarial Networks to create unique character avatars for use in gaming and virtual environments. Li has also contributed to a Rice Disease Detection System based on ResNet, facilitating early identification of diseases in rice crops to improve agricultural productivity. Furthermore, he has worked on an All-Round Visual Analysis System that integrates image classification, target detection, semantic segmentation, and instance segmentation, providing comprehensive analytical capabilities for various visual data applications. Through these projects, Li has demonstrated his commitment to advancing intelligent computing solutions across diverse fields.

Top Notable Publications

 

Conclusion

 

 

jinghua Li | Vibration Signal Analysis | Young Scientist Award

You May Also Like