This inventor holds 1 USPTO granted patent. Top assignee: Applied Materials Israel Limited. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: Eyal Zakkay: Innovator in Semiconductor Examination Technology
Introduction
Eyal Zakkay is a notable inventor based in Kfar Saba, Israel. He has made significant contributions to the field of semiconductor technology, particularly in the examination of specimens. His innovative approach has led to the development of a unique patent that enhances the efficiency of defect detection in semiconductor images.
Latest Patents
Eyal Zakkay holds a patent titled "Automatic selection of algorithmic modules for examination of a specimen." This patent describes a system that includes a processor designed to obtain a set of images of a semiconductor specimen. The system selects at least one algorithmic module from a plurality of modules for each image, processes the image to obtain data representative of defects, and utilizes supervised feedback to refine the selection of algorithmic modules. This iterative process continues until a completion criterion is met, ultimately identifying the most effective modules for defect detection.
Career Highlights
Eyal Zakkay is currently employed at Applied Materials Israel Limited, where he applies his expertise in semiconductor technology. His work focuses on improving the methodologies used in the examination of semiconductor specimens, contributing to advancements in the industry.
Collaborations
Eyal has collaborated with notable colleagues, including Boaz Cohen and Ran Schleyen. Their combined efforts have fostered innovation and development within their field.
Conclusion
Eyal Zakkay's contributions to semiconductor examination technology through his patent and work at Applied Materials Israel Limited highlight his role as an influential inventor. His innovative methods continue to shape the future of defect detection in semiconductor imaging.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
