Chunfeng Liu
Papers
2
Total Citations
49
H-Index
2
About
Chunfeng Liu is a leading researcher in semiconductor manufacturing automation, specializing in the scheduling and control of cluster tools—the robotic workhorses of wafer fabrication. His work addresses one of the field’s most critical challenges: ensuring wafer quality under strict residency time constraints, where wafers must be processed within tight time windows to avoid defects. Liu’s major contributions include developing optimal cyclic scheduling strategies for dual-arm cluster tools, where he pioneered methods to configure processing modules and robot waiting times simultaneously—solving a problem long considered intractable. His 2023 paper on this topic has already garnered 32 citations, reflecting its immediate impact on both theory and practice. More recently, Liu introduced a virtual cell-based scheduling approach for single-arm tools, tackling the even more complex general case where not all processing modules are used. This 2024 work, with 17 citations, demonstrates his ability to push boundaries beyond conventional assumptions. By bridging advanced optimization with real-world fabrication constraints, Liu’s research directly improves throughput and yield in semiconductor fabs, making him a key figure in the evolution of smart manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2