Baltimore, MD, United States of America

Sanghyun Choi

This inventor holds 1 USPTO granted patent. Top assignee: Johns Hopkins University. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sanghyun Choi. Retrieved from https://idiyas.com/inventor/sanghyun-choi-6ujbzz26

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2022

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovations of Sanghyun Choi

Introduction

Sanghyun Choi is an accomplished inventor based in Baltimore, MD. He has made significant contributions to the field of natural language processing. His innovative work focuses on developing methods and systems that enhance data analysis through advanced technology.

Latest Patents

Sanghyun Choi holds a patent for a "Method and system for a natural language processing using data streaming." This patent describes a system and methods for obtaining frequent terms in a set of data. The method involves analyzing a stream of terms to identify frequent terms, forming a dictionary based on these terms, and providing a visualization tool for interactions with the frequent terms.

Career Highlights

Choi is affiliated with Johns Hopkins University, where he applies his expertise in natural language processing. His work has garnered attention for its innovative approach to data streaming and analysis. He has successfully developed systems that improve the efficiency of data handling and interpretation.

Collaborations

Sanghyun Choi collaborates with notable colleagues, including Michael A Jacobs and Vladimir Braverman. These partnerships enhance the research and development of advanced technologies in their field.

Conclusion

Sanghyun Choi's contributions to natural language processing exemplify the impact of innovative thinking in technology. His work continues to influence the way data is analyzed and understood.

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]
Loading…