Daejeon, South Korea

Dong-Hyun Kim

This inventor holds 37 USPTO granted patents and 31 published patent applications and 13 EPO patents, primarily in Battery Management. Top assignees: Electronics and Telecommunications Research Institute, Lg Energy Solution, Ltd., Korea University Research and Business Foundation. Active years: 2004-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dong-Hyun Kim. Retrieved from https://idiyas.com/inventor/dong-hyun-kim-63r8a5sf

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 37 

% Patents Active = 78.4

 

Average Co-Inventor Count = 3.5

ph-index = 3

Forward Citations = 45(Granted Patents)


Location History:

  • Daegu, KR (2004 - 2006)
  • Daejeon, KR (2016 - 2023)
  • Busan, KR (2019 - 2024)

Company Filing History:


Years Active: 2004-2026

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Areas of Expertise:
Battery Management
Battery Pack
Energy Storage
Feature Encoding
Image Decoding
Gas Venting
Compression Neural Network
Agar Production
Marine Algae
Speech Recognition
Rotary Engine
LoRa Communication
37 patents (USPTO):Explore Patents

Title: Innovations by Dong-Hyun Kim: A Pioneer in Image Encoding Techniques

Introduction

Dong-Hyun Kim is a prominent inventor based in Daejeon, South Korea, known for his significant contributions to the field of image encoding and decoding. With a remarkable portfolio of 15 patents, Kim has established himself as a leading figure in advancing technologies that utilize artificial intelligence in multimedia processing.

Latest Patents

Among his latest innovations is a patent titled "Apparatus, method and storage medium for image encoding/decoding to perform intra prediction using artificial neural network." This invention introduces a method and apparatus for image encoding and decoding, leveraging an artificial neural network to derive an intra-prediction mode for target blocks. The innovative approach allows the neural network to output available intra-prediction modes along with match probabilities, indicating the likelihood of these modes matching the target block prediction, enhancing the efficiency of image processing.

Another noteworthy patent by Kim is the "Method, apparatus, system and computer-readable recording medium for feature information." This invention focuses on selective encoding and decoding of feature information, where the encoding apparatus generates residual feature information that represents the differences between the original and reconstructed images. This advancement promises improvements in the accuracy and effectiveness of image reconstruction techniques.

Career Highlights

Throughout his career, Dong-Hyun Kim has made significant strides working with esteemed organizations, particularly at the Electronics and Telecommunications Research Institute. His innovative mindset and dedication have played a crucial role in developing practical applications of his research, thereby impacting the technology landscape.

Collaborations

Kim’s collaborative spirit has been evident in his work alongside notable colleagues, including Hyoung-Jin Kwon and Youn-Hee Kim. These partnerships have contributed to the development of cutting-edge technologies and have fostered immense knowledge exchange within their respective fields.

Conclusion

Dong-Hyun Kim's contributions to the fields of image encoding and decoding highlight the transformative impact of innovation driven by artificial intelligence. His extensive patent portfolio serves not only as a testament to his inventiveness but also promises to inspire future advancements in technology. As his career continues to evolve, the insights gleaned from his work will undoubtedly influence the landscape of multimedia processing for years to come.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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