Haifa, Israel

Basel Shaheen

This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Basel Shaheen. Retrieved from https://idiyas.com/inventor/basel-shaheen

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Basel Shaheen and Data Sensitivity Estimation

Introduction

Basel Shaheen is an inventor associated with Haifa, Israel, and Microsoft Technology Licensing, LLC. His patent work addresses data classification and the identification of potentially sensitive information.

Latest Patents

Shaheen is associated with 1 patent, titled “Data Sensitivity Estimation.” The disclosed technology uses training data and ground-truth labels to identify sensitive data. Natural language processing helps learn features, including naming patterns associated with data resources. A heuristic or machine-learning model then evaluates input data, assigns a data resource sensitivity estimator value to each portion, and flags portions that may contain sensitive information.

Career Highlights

Shaheen’s listed patent reflects work on applying supervised learning and natural language processing to data sensitivity assessment. The approach is designed to help classify data resources and identify potentially sensitive content.

Collaborations

David Trigano and Andrey Karpovsky are identified as Shaheen’s coworkers. His patent is associated with Microsoft Technology Licensing, LLC.

Conclusion

Basel Shaheen’s patent focuses on using learned features and model-based estimates to detect potentially sensitive data, highlighting an application of machine learning to data classification.

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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