Munich, Germany

Ulugbek Peter Kodirov

This inventor holds 2 USPTO granted patents. Top assignee: Siemens Aktiengesellschaft. Active years: 2024-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ulugbek Peter Kodirov. Retrieved from https://idiyas.com/inventor/ulugbek-peter-kodirov

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Ulugbek Peter Kodirov: Inventor in Entity Recognition and Knowledge Graph Technologies.

Introduction

Ulugbek Peter Kodirov is an inventor based in Munich, Germany. His patent work includes methods for natural language processing, entity recognition, relation extraction, and linking text mentions to knowledge graph entities.

Latest Patents

Kodirov’s listed patent work includes “Determining a Denoised Named Entity Recognition Model and a Denoised Relation Extraction Model.” The invention describes computer-implemented methods for determining denoised NER and RE models, as well as propagating an input dataset into a graph database representation.

Another listed patent is “Method and Apparatus for Performing Entity Linking.” It describes representing a surface entity mention in context, combining that representation with an embedding for a candidate knowledge graph entity, and classifying whether the mention corresponds to that entity.

Career Highlights

Kodirov works at Siemens Aktiengesellschaft. His listed portfolio includes 2 patents, with subject matter focused on computational methods for processing and connecting information.

Collaborations

Rakebul Muff Hasan is identified as a coworker. The provided information does not specify further details about their collaboration.

Conclusion

Ulugbek Peter Kodirov’s patent work addresses entity recognition, relation extraction, and entity linking, connecting language-processing methods with structured knowledge graphs.

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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