Daejeon, South Korea

Sang Don Jung

USPTO Granted Patents = 10 

Average Co-Inventor Count = 2.9

ph-index = 5

Forward Citations = 352(Granted Patents)


Location History:

  • Daejon-shi, KR (1999 - 2003)
  • Daejeon, KR (1999 - 2022)

Company Filing History:


Years Active: 1999-2022

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10 patents (USPTO):Explore Patents

Title: Innovations of Sang Don Jung in Neural Electrode Technology

Introduction

Sang Don Jung is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of neural electrode technology, holding a total of 10 patents. His work focuses on enhancing the efficiency and effectiveness of neural electrodes, which are crucial for measuring neural signals.

Latest Patents

Among his latest patents is a neural electrode and manufacturing method thereof. This invention discloses a neural electrode that includes a porous nanostructure and an iridium oxide layer formed on it. This design improves electrode efficiency by increasing the charge injection limit capacity. Another notable patent is a neural electrode for measuring neural signals, along with its manufacturing method. This method involves forming an ITO electrode on a substrate, creating a passivation layer to expose part of the ITO electrode, and forming ITO nanowires on the ITO electrode, followed by the application of a metal oxide on the ITO nanowires.

Career Highlights

Sang Don Jung is affiliated with the Electronics and Telecommunications Research Institute, where he continues to innovate in the field of electronics. His work has garnered attention for its potential applications in medical technology and neuroscience.

Collaborations

He has collaborated with notable coworkers such as Yong Hee Kim and Tae Hyoung Zyung, contributing to advancements in their shared field of research.

Conclusion

Sang Don Jung's contributions to neural electrode technology exemplify the intersection of innovation and practical application in neuroscience. His patents reflect a commitment to improving the efficiency of neural signal measurement, paving the way for future advancements in the field.

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