Seoul, South Korea

Dong Won Yang


Average Co-Inventor Count = 4.2

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Dong Won Yang

Introduction

Dong Won Yang is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the fields of deep learning and machine learning, particularly in the context of health and data analysis. With a total of 2 patents, his work is paving the way for advancements in technology and healthcare.

Latest Patents

One of Dong Won Yang's latest patents is a "Method and apparatus for determining dementia risk factors using deep learning." This innovative method involves acquiring biometric information from subjects through wearable devices and deriving dementia risk factors using deep learning techniques. The process includes analyzing both biometric and measurement information to identify potential risks associated with dementia.

Another notable patent is the "Machine learning method and apparatus using steps feature selection based on genetic algorithm." This patent outlines a machine learning approach that utilizes genetic algorithms for feature selection. The method defines a feature set, generates various feature combinations, and constructs feature models to determine the most effective features for predictive accuracy.

Career Highlights

Dong Won Yang has worked with esteemed organizations such as the Catholic University of Korea Industry-Academic Cooperation Foundation and Imedisync, Inc. His experience in these institutions has allowed him to apply his innovative ideas in practical settings, contributing to advancements in technology and healthcare.

Collaborations

Throughout his career, Dong Won Yang has collaborated with notable colleagues, including Seung Wan Kang and Namheon Kim. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.

Conclusion

Dong Won Yang's contributions to the fields of deep learning and machine learning are noteworthy. His patents reflect a commitment to advancing technology for health-related applications. As he continues to innovate, his work will undoubtedly have a lasting impact on both technology and healthcare.

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