Jason Koh is an accomplished inventor based in San Diego, CA. He has made significant contributions to the field of automation and digital systems, holding a total of nine patents. His work focuses on enhancing the efficiency and functionality of automated environments.

Latest Patents

Among his latest patents is "Automatic link prediction for points in commercial and industrial environments." This invention discloses methods and systems for predicting relationships between points in automated environments by retrieving a plurality of data points from various sources. It involves detecting events indicative of anomalies, generating a correlation matrix, and clustering data points based on normalized matrices. Another notable patent is "Automatic discovery of automated digital systems through link salience." This patent describes platforms and methods that combine activity correlation counts with a link salience method to identify collections of digital devices in automated environments.

Career Highlights

Jason Koh works at Mapped Inc., where he applies his expertise in automation and digital systems. His innovative approaches have led to advancements in how automated environments operate and interact with various data sources.

Collaborations

Jason collaborates with talented individuals such as Shaun P Cooley and Jose De Castro, contributing to a dynamic work environment that fosters innovation.

Conclusion

Jason Koh's contributions to automation and digital systems through his patents reflect his commitment to advancing technology. His work continues to influence the field and inspire future innovations.

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