MingXin Chen
Papers
2
Total Citations
53
H-Index
2
About
MingXin Chen is a leading researcher in semiconductor manufacturing automation, with a primary focus on optimizing the performance of cluster tools—the robotic systems central to modern wafer fabrication. His work addresses a critical challenge in the industry: minimizing wafer delay time in process modules, which is essential for maintaining quality as circuit widths shrink below 10 nanometers. Chen’s most influential paper, “Reducing Wafer Delay Time by Robot Idle Time Regulation for Single-Arm Cluster Tools” (2020), has garnered 48 citations for its novel approach to controlling robot idle time to improve tool throughput. In a related study, he used Petri net modeling to analyze robot waiting time and its direct impact on wafer delay, providing a rigorous framework for scheduling optimization. Chen’s contributions are vital for advancing the efficiency and precision of semiconductor manufacturing, offering practical solutions that bridge theoretical modeling and real-world application. His work is widely recognized by peers in automation and control engineering, making him a key figure in the drive toward higher-yield, defect-free chip production.
Research Focus
Key Achievements
Top Papers
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