Suwon-si, South Korea

Gunho Park

This inventor holds 1 USPTO granted patent and 4 published patent applications. Top assignee: Korea University Research and Business Foundation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gunho Park. Retrieved from https://idiyas.com/inventor/gunho-park

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 

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Gunho Park: Inventor in CAN Message Anomaly Detection.

Introduction

Gunho Park is an inventor based in Suwon-si, South Korea. His patent work addresses real-time detection of abnormal messages in controller area networks, which are used for communication among vehicle systems.

Latest Patents

Park is associated with one patent, titled “Lightweight Real-Time Abnormality Detection Method Using CAN Message Analysis and Neural Network Model.” The method collects CAN messages and derives traffic time-interval data and payload data from them. Separate neural network models process these data to produce latent vectors, which are then merged and evaluated by a third model to determine whether a message is anomalous. The patent lists 1 patent for Park.

Career Highlights

Park is associated with Korea University Research and Business Foundation. His patent reflects work at the intersection of neural networks, network traffic analysis, and lightweight anomaly detection.

Collaborations

Park’s listed coworkers include Sangho Lee and Seonghoon Jeong.

Conclusion

Gunho Park’s patent focuses on using neural network models to detect anomalous CAN messages, contributing an approach to real-time monitoring of controller area networks.

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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