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.
ProfileĀ
Scopus
Educationš
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.
Experienceš¼
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 Interestsš¬
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.
Awardsš
Zhiwenās 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.
Publicationsš
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”
“Digital thread-driven cloud-fog-edge collaborative disturbance mitigation mechanism for adaptive production in digital twin discrete manufacturing workshop”
“Scene Equipment Saving and Loading Method for Digital Twin Workshop”
“Numerical and experimental analysis of ball screw accuracy reliability with time delay expansion under non-constant operating conditions”
ConclusionāØ
Zhiwen Lin is an exemplary researcher whose work in digital twin systems, intelligent manufacturing, and edge-fog computing has significantly advanced the field of smart manufacturing. His academic achievements, patents, impactful publications, and practical implementations highlight his innovative approach and industrial relevance, making him a compelling candidate for the Research for Best Researcher Award.