Daejeon, South Korea

Seung Hyun Yoon

This inventor holds 30 USPTO granted patents and 32 published patent applications, plus 3 CIPO patents and 7 EPO patents, primarily in Pharmaceutical Chemistry. Top assignees: Electronics and Telecommunications Research Institute, Lg Life Sciences, Limited, Lg Chem, Ltd. Active years: 2009-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Seung Hyun Yoon. Retrieved from https://idiyas.com/inventor/seung-hyun-yoon

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

USPTO Granted Patents = 30 

% Patents Active = 86.7

 

 

Average Co-Inventor Count = 3.3

ph-index = 3

Forward Citations = 39(Granted Patents)


Location History:

  • Daejeon, KR (2009 - 2023)
  • Seoul, KR (2020 - 2024)

Company Filing History:


Years Active: 2009-2026

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Areas of Expertise:
Diacylglycerol Acyltransferase Inhibitor
Indole Compounds
Amino Aryl Derivative
Biaryl Derivative
Plasma Diagnosis System
Reinforcement Learning
Traffic Measurement
Mobile Core System
30 patents (USPTO):Explore Patents

Title: Seung Hyun Yoon: Innovator in Federated Learning and Cache Management

Introduction

Seung Hyun Yoon is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the fields of federated learning and cache management, holding a total of 18 patents. His innovative work has the potential to impact various technological applications.

Latest Patents

One of his latest patents is titled "Federated learning device interworking with mobile core system and method thereof." This invention relates to a method for federated learning that interacts with a mobile core system. The method includes querying terminal information from multiple terminals, assessing network performance, selecting participating terminals based on this information, and integrating parameters after local learning.

Another notable patent is the "Method and apparatus for TTL-based cache management using reinforcement learning." This invention provides a method for managing a cache that stores content by determining the popularity of the content based on requests received during a specific time slot. It involves transmitting popularity information to a time-to-live (TTL) controller and managing content based on the TTL values assigned to each popularity level.

Career Highlights

Seung Hyun Yoon has worked with reputable organizations, including the Electronics and Telecommunications Research Institute and LG Life Sciences Limited. His experience in these institutions has allowed him to develop and refine his innovative ideas.

Collaborations

Throughout his career, Yoon has

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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