Mike Tao Zhang
Papers
6
Total Citations
106
H-Index
4
About
Dr. Mike Tao Zhang is a leading figure in automation and manufacturing engineering, with a core focus on semiconductor equipment, green manufacturing, and robotic precision. His most impactful work addresses critical bottlenecks in semiconductor fabrication, where he has made seminal contributions to the throughput analysis and scheduling of cluster tools—the heart of wafer processing. His 2007 paper on linear cluster tools (34 citations) provides foundational models for optimizing productivity, while his subsequent work on tools with buffer modules extends these methods to complex multi-cluster systems. Dr. Zhang is equally renowned for his practical innovations in robotic calibration and part alignment. He developed a fast, low-cost fixturing approach for wafer-handling robots (6 citations) that dramatically reduces setup downtime, a critical achievement for high-volume manufacturing. His algorithmic design of robot grippers for optimal part alignment (18 citations) replaces trial-and-error with a rigorous, optimal solution. As the editor of a special issue on *Automation in Green Manufacturing* (40 citations), he also helped define the emerging intersection of information technology and sustainable production. Dr. Zhang’s work uniquely bridges theoretical scheduling models with real-world robotic precision, making him a pivotal researcher for students and engineers in advanced manufacturing.
Research Focus
Key Achievements
Top Papers
- 1Editorial: Automation in green manufacturing40 citations · 2012
- 2Throughput Analysis of Linear Cluster Tools34 citations · 2007
- 3Designing robot grippers: optimal edge contacts for part alignment18 citations · 2006
- 4Fixture‐based industrial robot calibration for silicon wafer handling6 citations · 2005
- 5Calibration of Wafer Handling Robots: A Fixturing Approach4 citations · 2007
- 6Scheduling Analysis of Cluster Tools with Buffer/Process Modules4 citations · 2007