Kang Uk Seo

Title: Kang Uk Seo - Innovator in Anomaly Detection

Introduction

Kang Uk Seo is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of anomaly detection, particularly in the context of unmanned moving objects. His innovative approach utilizes advanced neural network models to enhance the reliability and safety of these technologies.

Latest Patents

Kang Uk Seo holds a patent for an "Anomaly detection model using message id sequence on unmanned moving objects." This patent discloses a method for detecting anomalies in unmanned moving objects by leveraging a message ID sequence. The method involves collecting packet data generated by the unmanned moving object, pre-processing this data, and then detecting anomalies based on the message ID pattern by inputting the pre-processed data into a pre-trained neural network model. This innovative approach aims to improve the operational efficiency and safety of unmanned systems.

Career Highlights

Kang Uk Seo is affiliated with the Korea University Research and Business Foundation, where he applies his expertise in research and development. His work focuses on enhancing the capabilities of unmanned technologies through innovative solutions.

Collaborations

Kang Uk Seo collaborates with notable colleagues, including Huy Kang Kim and Jeong Do Yoo. Their combined efforts contribute to advancing research in the field of anomaly detection and unmanned systems.

Conclusion

Kang Uk Seo's contributions to the field of anomaly detection demonstrate his commitment to innovation and technology advancement. His work not only enhances the functionality of unmanned moving objects but also sets a foundation for future developments in this critical area.