Rehovot, Israel

Ran Yacoby

USPTO Granted Patents = 4 

Average Co-Inventor Count = 3.7

ph-index = 1


Location History:

  • Rehovot, IL (2023)
  • Jerusalem, IL (2024)

Company Filing History:


Years Active: 2023-2025

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4 patents (USPTO):Explore Patents

Title: Innovations by Inventor Ran Yacoby

Introduction

Ran Yacoby is a notable inventor based in Rehovot, Israel. He has made significant contributions to the field of semiconductor manufacturing and measurement control. With a total of 4 patents to his name, Yacoby's work focuses on advanced process control and machine learning applications.

Latest Patents

One of his latest patents is titled "Machine and deep learning methods for spectra-based metrology and process control." This invention involves a system and methods for Advanced Process Control (APC) in semiconductor manufacturing. The system receives pre-process and post-process scatterometric training data, along with process control knob training data. It generates a machine learning model that correlates variations in the data to recommend changes in process control settings.

Another significant patent is the "System and method for controlling measurements of sample's parameters." This system comprises a control unit configured as a computer system that communicates with a measured data provider. The data processor performs model-based processing of the measured data to estimate error values for various sample parameters.

Career Highlights

Ran Yacoby is currently employed at Nova Corporation, where he continues to innovate in the field of semiconductor technology. His work has been instrumental in enhancing the efficiency and accuracy of manufacturing processes.

Collaborations

Yacoby collaborates with talented individuals such as Barak Bringoltz and Noam Tal, contributing to a dynamic and innovative work environment.

Conclusion

Ran Yacoby's contributions to the field of semiconductor manufacturing and measurement control demonstrate his expertise and commitment to innovation. His patents reflect a deep understanding of machine learning and process control, positioning him as a key figure in his industry.

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