Atlanta, GA, United States of America

Abulimiti Aji

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2015.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Abulimiti Aji. Retrieved from https://idiyas.com/inventor/abulimiti-aji

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2015

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1 patent (USPTO):Explore Patents

Title: Abulimiti Aji: Innovator in Entity Recognition Technology

Introduction

Abulimiti Aji is a notable inventor based in Atlanta, GA. He has made significant contributions to the field of entity recognition through his innovative patent. His work focuses on enhancing the accuracy of classifiers that disambiguate entities based on probabilistic models.

Latest Patents

Abulimiti Aji holds a patent titled "Entity recognition using probabilities for out-of-collection data." This invention involves a classifier that disambiguates among entities by utilizing a dictionary, such as a corpus of documents related to those entities. The classifier incorporates probabilities that an entity may exist outside the dictionary. By associating a document with an entity, the classifier achieves a higher level of confidence in the match between the entity and the document.

Career Highlights

Abulimiti Aji is currently employed at Microsoft Technology Licensing, LLC. His role involves leveraging his expertise in entity recognition to develop advanced technologies that improve data processing and analysis.

Collaborations

Some of his notable coworkers include Emre Mehmet Kiciman and Kuansan Wang. Their collaborative efforts contribute to the innovative environment at Microsoft Technology Licensing.

Conclusion

Abulimiti Aji's work in entity recognition technology exemplifies the impact of innovative thinking in the tech industry. His contributions continue to shape the future of data classification and recognition.

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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