Sunnyvale, CA, United States of America

Vijay Ramachandran


Average Co-Inventor Count = 4.1

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2019-2024

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3 patents (USPTO):

Title: The Innovations of Vijay Ramachandran

Introduction

Vijay Ramachandran is an accomplished inventor based in Sunnyvale, CA. He has made significant contributions to the field of machine learning and semiconductor applications. With a total of 3 patents, his work has had a notable impact on technology and industry.

Latest Patents

One of his latest patents focuses on machine learning using a global texture characteristic for semiconductor-based applications. This patent describes methods and systems for determining information for a specimen. The system includes a computer subsystem configured to determine a global texture characteristic of an image of a specimen, along with one or more local characteristics of a localized area in the image. The machine learning model within the system is designed to determine information for the specimen based on these characteristics. The results generated by the computer subsystem include the determined information, which can be utilized for metrology or inspection purposes.

Another significant patent involves diagnostic methods for classifiers and defects captured by optical tools. This patent discloses techniques for wafer inspection that maintain stable nuisance rates while effectively capturing defects of interest. The method allows for the identification of newly appearing defects during the manufacturing process. By updating the defect classifier based on the results from previous wafers, the system can identify defects of interest in subsequent wafers.

Career Highlights

Vijay has worked with notable companies in the industry, including Kla Tencor Corporation and Kla Corporation. His experience in these organizations has contributed to his expertise in semiconductor technology and machine learning applications.

Collaborations

Throughout his career, Vijay has collaborated with talented individuals such as Bjorn Brauer and Richard Wallingford. These collaborations have further enriched his work and innovations in the field.

Conclusion

Vijay Ramachandran's contributions to machine learning and semiconductor applications demonstrate his innovative spirit and technical expertise. His patents reflect a commitment to advancing technology and improving manufacturing processes.

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