This inventor holds 1 USPTO granted patent. Top assignee: Uber Technologies, 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: Mohammad Kamrul Islam: Inventor of Targeted Data Anonymization
Introduction
Mohammad Kamrul Islam is an inventor based in Sunnyvale, California, and works at Uber Technologies, Inc. His patent work includes a method for selectively anonymizing targeted data entries in a dataset.
Latest Patents
Islam is associated with 1 patent, titled “Systems and Methods for Selectively Anonymizing Targeted Data Entries.” The invention describes parsing a dataset into data entities, identifying targeted entries, and assigning confidence scores to them. It also addresses overlapping and contained entries, applies a confidence threshold, removes selected entries, and converts the remaining targeted entries into anonymized data.
Career Highlights
Islam’s listed patent focuses on techniques for handling targeted data within datasets. The method’s steps include identifying entries for anonymization and transforming selected data while accounting for confidence scores and relationships among entries.
Collaborations
Islam’s listed coworkers include Veli Engin Bozdag and Daniel Eynis.
Conclusion
Mohammad Kamrul Islam’s patent work centers on selectively identifying and anonymizing targeted data entries, reflecting an approach to data processing that considers confidence levels and relationships among entries.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile