Hwaseong-si, South Korea

Byeonghui Kim

USPTO Granted Patents = 7 


Average Co-Inventor Count = 3.9

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Hwaseong-si, KR (2022 - 2024)
  • Seongnam-si, KR (2024)

Company Filing History:


Years Active: 2022-2025

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7 patents (USPTO):Explore Patents

Title: Innovator Byeonghui Kim: Pioneering Storage Solutions

Introduction

Byeonghui Kim, based in Hwaseong-si, South Korea, is an accomplished inventor with an impressive portfolio of 7 patents. His innovative work primarily revolves around advanced storage devices and systems, utilizing cutting-edge machine learning techniques to enhance performance and efficiency.

Latest Patents

Kim's latest patents include the "Storage device, storage system and throttling method thereof," where he introduces a novel throttling method for storage devices. This method involves receiving write commands and leveraging a machine learning model to identify optimal throttling delay times. Additionally, his "Storage controller, storage device, and operation method of storage device" patent details a method for managing write requests in a storage environment, applying statistical analysis and machine learning to enhance data processing.

Career Highlights

As a key inventor at Samsung Electronics Co., Ltd., Byeonghui Kim has significantly contributed to the advancement of storage technology. His innovative solutions not only increase the performance of storage devices but also streamline operation methods that have wide-reaching implications in the tech industry.

Collaborations

Throughout his career, Kim has collaborated with talented colleagues such as Jungmin Seo and Kibeen Jung. These partnerships have fostered a creative environment that fuels innovation and leads to the development of groundbreaking technologies in storage solutions.

Conclusion

Byeonghui Kim's contributions to the field of storage technology illustrate the vital role of inventors in shaping the future of digital data management. His strategic use of machine learning in addressing complex storage challenges highlights his expertise and commitment to innovation. As he continues to develop new patents, the industry eagerly anticipates the impact of his work on future storage solutions.

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