Chengyu Zou

Macau University of Science and Technology

Papers

1

Total Citations

2

H-Index

1

About

Chengyu Zou is a rising scholar in semiconductor manufacturing automation, with a focus on optimizing cluster tool scheduling for advanced wafer fabrication. His research centers on the modeling and minimization of wafer delays in single-arm cluster tools equipped with two-space process modules—a critical innovation as the industry moves toward multi-wafer concurrent processing. In his most-cited work (2024), Zou addresses the unique challenges posed by rotating internal chambers in multi-space PMs, which complicate robot loading and unloading sequences. By developing novel scheduling algorithms that account for these spatial and temporal constraints, he demonstrates how to reduce idle times and improve throughput in high-precision manufacturing environments. Though early in his career, his contributions have already garnered attention, with his flagship paper accumulating 2 citations and laying groundwork for future studies in tool architecture and real-time control. Zou’s work bridges theoretical scheduling theory and practical semiconductor equipment design, offering tangible solutions for next-generation fabrication plants. His achievements mark him as a promising researcher whose insights will likely influence both academic research and industrial practices in wafer processing automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Wafer Delay Minimization in Scheduling Single-Arm Cluster Tools with Two-Space Process Modules
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Macau University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago