Mike Tao Zhang

Intel (United States)

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

4
H-Index
6
Papers
106
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Editorial: Automation in green manufacturing
40 citations · 2012
📈 Most Prolific Year: 2007 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Intel (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago