Seoul, South Korea

Sung Yun Woo

USPTO Granted Patents = 2 

Average Co-Inventor Count = 2.4

ph-index = 1


Company Filing History:


Years Active: 2020-2022

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2 patents (USPTO):Explore Patents

Title: Innovations of Sung Yun Woo

Introduction

Sung Yun Woo is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of neuromorphic systems, showcasing his expertise through his innovative patents. With a total of 2 patents, his work is at the forefront of technological advancements in neuromorphic devices and circuits.

Latest Patents

Sung Yun Woo's latest patents include a neuromorphic system that utilizes a neuron circuit. This system is designed to output a firing signal based on inputs from a synapse array. It features one or more neuron circuits, a homeostatic circuit for each neuron, and a global self-controller that generates control signals for the neuron circuits. The homeostatic circuit plays a crucial role in alleviating inhibition among neurons with predominant firing functions.

Another notable patent is for a neuromorphic device and circuit that employs a unique semiconductor region configuration. This device includes multiple doped regions and gate insulating film stacks, which are essential for its functionality. The design allows for effective electrical insulation and connection, enhancing the performance of the neuromorphic device.

Career Highlights

Sung Yun Woo is affiliated with Seoul National University, where he continues to push the boundaries of research in neuromorphic technology. His academic background and ongoing research contribute to the advancement of this innovative field.

Collaborations

He collaborates with esteemed colleagues such as Jong-Ho Lee and Won-Mook Kang, further enriching his research endeavors and expanding the impact of his work.

Conclusion

Sung Yun Woo's contributions to neuromorphic systems and devices highlight his role as a leading inventor in the field. His innovative patents reflect a commitment to advancing technology and enhancing our understanding of neuromorphic circuits.

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