San Jose, CA, United States of America

Vinh Diep


 

Average Co-Inventor Count = 3.1

ph-index = 8

Forward Citations = 142(Granted Patents)


Company Filing History:


Years Active: 2017-2021

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20 patents (USPTO):

Title: Innovations by Vinh Diep: Pioneering Memory Device Technologies

Introduction

Vinh Diep is a notable inventor based in San Jose, CA, with an impressive portfolio of 20 patents to his name. His work primarily focuses on advancements in memory device technologies, showcasing innovative approaches to memory programming processes and performance optimization techniques.

Latest Patents

Vinh's most recent inventions include a multi-pass programming process for memory devices, which enhances efficiency by omitting verify tests during the first program pass. This technique addresses challenges such as neighbor word line interference and charge loss, employing varied bit line voltages to achieve different intermediate threshold voltage (Vth) distributions. Additionally, he has developed a memory device that compensates for program speed variations attributed to block oxide thinning. This invention utilizes acquired program voltages from sub-blocks to determine optimum programming voltages, ensuring that performance remains consistent even if programming is interrupted.

Career Highlights

Currently, Vinh Diep is affiliated with Sandisk Technologies Inc., where he contributes his expertise in memory technology innovations. His significant contributions have paved the way for improved memory processing techniques, directly impacting the storage industry.

Collaborations

Throughout his career, Vinh has collaborated with other talented inventors, including Ching-Huang Lu and Yingda Dong. Their combined efforts demonstrate the importance of teamwork in the innovation process, leading to groundbreaking advancements in memory technology.

Conclusion

Vinh Diep's dedication to enhancing memory device performance through innovative methods serves as an inspiration within the field of technology. His patents reflect a deep understanding of the complexities involved in memory operations, and his work will undoubtedly influence future advancements in this critical area of research.

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