Dr. Zhiwen Lin | Engineering | Best Researcher Award
Ph.D. Candidate in Mechanical Engineering at School of Mechanical and Aerospace Engineering, Jilin University, China
Zhiwen Lin, a dedicated Ph.D. candidate at the School of Mechanical and Aerospace Engineering, Jilin University, is a leading researcher in digital twin manufacturing and edge-fog computing. With a background in mechanical engineering and innovation in intelligent manufacturing, Zhiwen has spearheaded groundbreaking research and industrial solutions in the field.
Profile
Education🎓
Zhiwen Lin completed a Master of Engineering in Mechanical Engineering at Beijing University of Technology, building a strong foundation for his doctoral studies at Jilin University. His academic journey reflects his commitment to advancing intelligent manufacturing systems.
Experience💼
Zhiwen developed DTWorks, an innovative digital twin workshop system, implemented in prominent enterprises such as FAW Group. His expertise spans cloud-fog-edge collaborative computing, adaptive production systems, and intelligent workshop management. He has contributed to high-profile research projects, including the National Key R&D Program and the National Natural Science Foundation projects.
Research Interests🔬
Zhiwen focuses on digital twin manufacturing, edge-fog computing, intelligent task scheduling, and manufacturing process optimization. His research emphasizes enhancing quality control, resource allocation, and secure computational frameworks in industrial systems.
Awards🏆
Zhiwen’s innovative research and industrial contributions have earned recognition through patents and publications. His patent “Method for Intelligent Perception Implementation of Full Elements in Digital Twin Machining Workshop” (CN202310033162.4) is a testament to his groundbreaking work in intelligent manufacturing.
Publications📚
Zhiwen has published influential articles in prestigious journals:
“Edge-fog-cloud hybrid collaborative computing solution with an improved parallel evolutionary strategy for enhancing tasks offloading efficiency in intelligent manufacturing workshops”
- Year: 2024
- Citations: 0
“Digital thread-driven cloud-fog-edge collaborative disturbance mitigation mechanism for adaptive production in digital twin discrete manufacturing workshop”
- Year: 2024
- Citations: 0
“Scene Equipment Saving and Loading Method for Digital Twin Workshop”
- Year: 2023
- Citations: 1
“Numerical and experimental analysis of ball screw accuracy reliability with time delay expansion under non-constant operating conditions”
- Year: 2023
- Citations: 0