Winnipeg, Canada

Young-Jin Cha

This inventor holds 2 USPTO granted patents. Top assignee: University of Manitoba. Active years: 2025.


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Young-Jin Cha: Innovator in Machine Learning and Sound Processing

Introduction

Young-Jin Cha is a prominent inventor based in Winnipeg, Canada. He has made significant contributions to the fields of machine learning and sound processing. With a total of 2 patents, his work focuses on innovative methods that enhance the analysis of thermographic images and the generation of anti-noise signals.

Latest Patents

Young-Jin Cha's latest patents include a computer-implemented method for analyzing thermographic images using machine learning. This method involves processing the image with a convolutional neural network (CNN) to detect an article of interest (AOI). The CNN is designed with a series of convolution modules that create a reduced size feature map, followed by an in-depth module that learns correlations and contextual features of the image. Additionally, he has developed a method for generating synthetic training data based on authentic training data, utilizing two neural networks to ensure the closeness of the generated data to the authentic data.

Another notable patent involves a computer-implemented method for generating anti-noise. This method processes a sound signal that includes ambient noise and generates an anti-noise signal using a deep learning algorithm. The algorithm features an iterative encoder module, an attention module, and a recurrent neural network (RNN) that predicts future portions of the sound signal. The output is then mapped to the anti-noise signal, effectively reducing unwanted noise.

Career Highlights

Young-Jin Cha is affiliated with the University of Manitoba, where he continues to advance his research and innovation in machine learning and sound processing. His work has garnered attention for its practical applications in various industries, particularly in enhancing image analysis and sound quality.

Collaborations

Some of his notable coworkers include Alireza Mostafavi and Rahmat Ali. Their collaborative efforts contribute to the ongoing research and development in their respective fields.

Conclusion

Young-Jin Cha is a distinguished inventor whose work in machine learning and sound processing has led to significant advancements. His innovative patents reflect his commitment to enhancing technology and improving practical applications in everyday life.

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