This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Dp World Logistics US Holdings, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Yury Sokolov: Geographic Data and Artificial Intelligence
Introduction
Yury Sokolov is an inventor based in La Mesa, California. His patent work concerns using artificial intelligence techniques to augment geographic data layers and address gaps in geographic information service data.
Latest Patents
Sokolov is associated with 1 patent, titled “Artificial Intelligence Augmentation of Geographic Data Layers.” The invention describes a method for filling gaps in geographic information service data. It identifies a bounding region and an initial alignment, then generates a corridor buffer within the region. The method processes cost-layer data to assess incompleteness, partial completeness, and completeness across polygon-bounded areas. It uses these assessments to generate synthetic completeness and stores a rasterized cost map containing the completeness information.
Career Highlights
Sokolov is associated with DP World Logistics US Holdings, Inc. His patent reflects work at the intersection of artificial intelligence, geographic information, and data processing.
Collaborations
His listed coworkers include Mohammed Ismaeel Babur and Dihan Yang.
Conclusion
Yury Sokolov’s patent describes an approach to improving geographic data layers by assessing and supplementing incomplete information, connecting artificial intelligence methods with practical geographic data processing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile