This inventor holds 7 USPTO granted patents and 2 published patent applications. Top assignee: Iscilab Corporation. Active years: 2020-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020-2025
Title: Innovations by Stephanie Sujin Choi
Introduction
Stephanie Sujin Choi is a prominent inventor based in Seoul, South Korea. She has made significant contributions to the field of animal identification and clustering through her innovative methods. With a total of 7 patents, her work has garnered attention for its practical applications in various industries.
Latest Patents
One of her latest patents is a method for clustering and identifying animals based on the shapes, relative positions, and other features of body parts. This method provides a way to cluster and identify animals in acquired images based on their physical traits. A trait feature is defined as a scalar or vector quantity that represents a property of a trait, while trait distance measures the discrepancy between the same trait features of two animals. Several different ways of implementing clustering using these trait features are also introduced in her work.
Career Highlights
Stephanie is currently employed at Iscilab Corporation, where she continues to develop her innovative ideas. Her work has not only advanced the field of animal identification but has also opened new avenues for research and application in related areas.
Collaborations
Some of her notable coworkers include Hyeong In Choi and Nam Sook Wee, who contribute to her projects and research endeavors.
Conclusion
Stephanie Sujin Choi's innovative methods and patents reflect her dedication to advancing technology in animal identification. Her contributions are paving the way for future developments in this important field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile