Ann Arbor, MI, United States of America

Ravi Chandra Donapati


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations by Ravi Chandra Donapati

Introduction

Ravi Chandra Donapati is an accomplished inventor based in Ann Arbor, MI (US). He has made significant contributions to the field of diagnostic systems, particularly in the context of deep learning models for semiconductor applications. His innovative work has led to the development of a patent that enhances the capabilities of diagnostic functions in imaging technologies.

Latest Patents

Ravi holds a patent titled "Diagnostic systems and methods for deep learning models configured for semiconductor applications." This patent describes methods and systems for performing diagnostic functions for a deep learning model. The system includes components executed by computer subsystems, featuring a deep learning model designed to extract information from images generated by imaging tools. Additionally, it incorporates a diagnostic component that identifies causal portions of the image that contribute to the determined information and performs functions based on these findings. Ravi has 1 patent to his name.

Career Highlights

Ravi Chandra Donapati has established himself as a key figure in his field through his innovative work at Kla-tenor Corp. His expertise in deep learning and diagnostic systems has positioned him as a valuable asset to the company. His contributions have not only advanced the technology but have also paved the way for future innovations in semiconductor applications.

Collaborations

Ravi collaborates with talented individuals such as Jing Zhang and Mark J Roulo. Their combined expertise fosters a creative environment that drives innovation and enhances the development of cutting-edge technologies.

Conclusion

Ravi Chandra Donapati's work exemplifies the spirit of innovation in the field of diagnostic systems and deep learning. His contributions are shaping the future of semiconductor applications and demonstrate the impact of dedicated inventors in advancing technology.

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