Sammamish, WA, United States of America

Jai Joon Choi



 

Average Co-Inventor Count = 3.6

ph-index = 6

Forward Citations = 112(Granted Patents)


Company Filing History:


Years Active: 2011-2023

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17 patents (USPTO):Explore Patents

Title: Innovations of Jai Joon Choi

Introduction

Jai Joon Choi is a prominent inventor based in Sammamish, WA (US). He has made significant contributions to the field of technology, holding a total of 17 patents. His work primarily focuses on enhancing communication security and advancing machine learning methodologies.

Latest Patents

One of his latest patents is titled "Threshold scheme enabled symmetric key member deletion." This invention outlines a method for securing communication in a network of member nodes through a (k, n) secret sharing scheme. The managing node can delete a member node from the network by broadcasting the unique share for the second key, ensuring secure communication throughout the process.

Another notable patent is related to "Machine learning model development." This method involves building an autoencoder that maps input into a latent representation and reconstructs it. The invention also includes an artificial neural network classifier that predicts the class of input based on the latent representation, enhancing the training data for improved classification accuracy.

Career Highlights

Jai Joon Choi is currently employed at The Boeing Company, where he applies his innovative ideas to real-world challenges. His expertise in communication security and machine learning has positioned him as a valuable asset in the technology sector.

Collaborations

Throughout his career, Jai has collaborated with notable colleagues, including Mingyan Li and Changzhou Wang. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Jai Joon Choi's contributions to technology through his patents and work at The Boeing Company highlight his role as an influential inventor. His innovative approaches to communication security and machine learning continue to shape the future of these fields.

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