Los Gatos, CA, United States of America

Aleksandr Osipov

This inventor holds 1 USPTO granted patent. Top assignee: Palo Alto Networks, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Aleksandr Osipov. Retrieved from https://idiyas.com/inventor/aleksandr-osipov-66c3ua1p

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Aleksandr Osipov and Adaptive Follow-Up Query Generation

Introduction

Aleksandr Osipov is an inventor based in Los Gatos, California, and is associated with Palo Alto Networks, Inc. His patent work addresses how applications that use language models can generate relevant follow-up questions in response to user queries.

Latest Patents

Osipov is named on 1 patent: “Adaptive follow-up query generation for applications leveraging language models.” The invention describes a system that compares a user’s query with subject-matter descriptions in a knowledge base. When it finds a semantically similar match, the system retrieves relevant information and prompts a language model to generate follow-up queries. If it finds no suitable match, the system categorizes the query, identifies related categories, and retrieves predefined follow-up queries from the knowledge base.

Career Highlights

The patent reflects work on making language-model applications more responsive to user needs. By combining semantic search, query categorization, and language-model generation, the system can tailor follow-up questions to available knowledge while also providing predefined alternatives when a close match is unavailable.

Collaborations

Osipov’s listed coworkers include Sathishkumar Alwar and Haotian Liu. His patent is associated with Palo Alto Networks, Inc.

Conclusion

Aleksandr Osipov’s patent presents a structured approach to generating context-aware follow-up queries, combining knowledge-base retrieval and language models to support more useful interactions.

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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