Seoul, South Korea

Ji Hun Jang

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Edgecare Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ji Hun Jang. Retrieved from https://idiyas.com/inventor/ji-hun-jang-370c092s

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ji Hun Jang and Ultrasound Imaging Innovation.

Introduction

Ji Hun Jang is an inventor based in Seoul, South Korea, and is associated with Edgecare Inc. His listed patent concerns an ultrasound imaging device designed to combine conventional imaging with Doppler measurements of blood flow.

Latest Patents

Jang’s listed patent is “Ultrasound Imaging Device Including Dual Mode Probe.” The disclosure describes a device with a linear array that acquires ultrasound images and two phased arrays that direct Doppler signals toward a vascular region. The device identifies blood vessels in images captured at set intervals, focuses Doppler transmissions on the identified region, and uses received signals to calculate blood-flow velocity. Jang is credited with 1 patent.

Career Highlights

Jang’s listed work focuses on integrating ultrasound imaging and Doppler blood-flow measurement in a dual-mode probe. The patent identifies Edgecare Inc. as his company affiliation.

Collaborations

Jung Jun Kim and Il Seob Song are listed as Jang’s coworkers. The available information does not specify their roles in the patent or the nature of their collaboration.

Conclusion

Ji Hun Jang’s listed patent presents a dual-mode ultrasound approach that combines vascular imaging with Doppler-based blood-flow measurement.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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