Giv′at-Shmuel, Israel

Udy Danino


Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Innovations of Udy Danino in Defect Detection Technology

Introduction

Udy Danino, an accomplished inventor based in Givat Shmuel, IL, is recognized for his innovative contributions to defect detection technology. With a keen eye for detail and a background in engineering and technology, Udy has revolutionized the way defects are identified in various patterns formed on specimens.

Latest Patents

Udy holds a significant patent titled "Contour Based Defect Detection." This invention addresses methods and systems for detecting defects in patterns, utilizing advanced learning-based models. The first model generates simulated contours based on a design intended for the specimen, providing expected contours of a defect-free version. The second model captures actual contours in acquired images of the patterns. The innovative comparison between these contours enables the effective detection of defects, enhancing the accuracy and reliability in various applications.

Career Highlights

Udy Danino is currently employed at KLA-Tencor Corporation, a leading company in monitoring and analyzing semiconductor manufacturing processes. His role involves employing his expertise in technology to enhance defect detection systems. Udy's passion for innovation and commitment to excellence in engineering distinguish him as a vital asset to his company.

Collaborations

Throughout his career, Udy has worked alongside notable colleagues, including Ajay Gupta and Mohan Mahadevan. Their collaborative efforts have led to advancements in their respective fields, showcasing the power of teamwork in driving innovation and enhancing technology.

Conclusion

Udy Danino's patent and contributions to defect detection technology underscore his role as a forward-thinking inventor in the field. His work continues to impact the semiconductor industry, emphasizing the importance of innovation in identifying and resolving defects in patterns, ultimately leading to improved manufacturing processes.

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