Santa Clara, CA, United States of America

Amir Feili


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2008

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1 patent (USPTO):Explore Patents

Title: Amir Feili: Innovator in Process Tool Optimization

Introduction

Amir Feili is a notable inventor based in Santa Clara, CA. He has made significant contributions to the field of process tool optimization, particularly through his innovative patent. His work focuses on enhancing the efficiency of manufacturing processes, which is crucial in today's technology-driven world.

Latest Patents

Amir Feili holds a patent titled "Correlation of end-of-line data mining with process tool data mining." This invention presents a process tool optimization system that includes a data mining engine. The engine analyzes end-of-line yield data to identify process tools associated with low yield. In response to the analysis, it further examines process tool data to identify parameters linked to the low yield. This innovative approach aims to improve manufacturing outcomes significantly.

Career Highlights

Amir Feili is currently employed at Applied Materials, Inc., a leading company in the semiconductor and display industries. His role involves leveraging his expertise in data mining and process optimization to drive advancements in manufacturing technologies. His contributions have been instrumental in enhancing the efficiency and effectiveness of production processes.

Collaborations

Amir has collaborated with notable colleagues, including Israel Beinglass and Amos Dor. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Amir Feili's work exemplifies the impact of innovative thinking in the field of process tool optimization. His patent and contributions at Applied Materials, Inc. highlight the importance of data-driven approaches in enhancing manufacturing efficiency. His efforts continue to shape the future of technology and production processes.

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