Suwon-si, South Korea

Hong Yeon Cho

USPTO Granted Patents = 5 

 

Average Co-Inventor Count = 2.5

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2006-2022

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5 patents (USPTO):Explore Patents

Title: Innovations of Hong Yeon Cho

Introduction

Hong Yeon Cho is a prominent inventor based in Suwon-si, South Korea. He has made significant contributions to the field of technology, particularly in the areas of deep learning and artificial intelligence. With a total of five patents to his name, Cho has developed innovative methods that enhance the analysis of abnormal behavior and malware detection.

Latest Patents

One of Cho's latest patents is a technology for analyzing abnormal behavior using a deep learning-based system and data imaging. This method involves receiving data related to a system's state, converting it into image data, and training a neural network to detect or predict abnormal behavior. Another notable patent is an artificial intelligence-based malware detection system and method. This approach includes inputting malware binary data, extracting metadata, converting it into image data, and training a neural network to classify malware effectively. These advancements demonstrate Cho's commitment to leveraging deep learning for practical applications.

Career Highlights

Throughout his career, Hong Yeon Cho has worked with notable companies such as Ctilab Co., Ltd. and Samsung Electronics Co., Ltd. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in technology.

Collaborations

Cho has collaborated with talented individuals in his field, including Tae Yang Oh and Won Woo Park. These partnerships have fostered an environment of innovation and creativity, leading to the development of impactful technologies.

Conclusion

Hong Yeon Cho's contributions to technology through his patents and collaborations highlight his role as a leading inventor in the field. His work in deep learning and artificial intelligence continues to pave the way for advancements in analyzing behavior and malware detection.

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