Pennington, NJ, United States of America

Chung Hwan Kim

This inventor holds 6 USPTO granted patents. Top assignee: Nec Corporation. Active years: 2016-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chung Hwan Kim. Retrieved from https://idiyas.com/inventor/chung-hwan-kim

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


% Patents Active = 100.0

Average Co-Inventor Count = 5.6

ph-index = 1

Forward Citations = 6(Granted Patents)


Location History:

  • West Lafayette, IN (US) (2016)
  • Pennington, NJ (US) (2021 - 2022)
  • Franklin Park, NJ (US) (2023)

Company Filing History:


Years Active: 2016-2023

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6 patents (USPTO):Explore Patents

Title: Innovations of Chung Hwan Kim

Introduction

Chung Hwan Kim is a prominent inventor based in Pennington, NJ (US). He has made significant contributions to the field of machine learning, holding a total of 6 patents. His work focuses on enhancing the security and efficiency of machine learning programs.

Latest Patents

Among his latest patents is "Efficient and scalable enclave protection for machine learning programs." This invention describes a computer-implemented method that tailors machine learning programs for execution within secure enclaves. Another notable patent is "Confidential machine learning with program compartmentalization." This method involves designing machine learning programs with annotated source code to protect the confidentiality of the models from potential attacks.

Career Highlights

Chung Hwan Kim is currently employed at NEC Corporation, where he continues to innovate in the realm of machine learning and data security. His expertise in developing secure machine learning applications has positioned him as a key figure in this rapidly evolving field.

Collaborations

He collaborates with talented individuals such as Junghwan Rhee and Zhichun Li, contributing to advancements in their shared areas of expertise.

Conclusion

Chung Hwan Kim's work exemplifies the intersection of innovation and security in technology. His patents reflect a commitment to improving machine learning applications, ensuring they are both efficient and secure.

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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