Ossining, NY, United States of America

Anton Viktorovich Riabov

This inventor holds 67 USPTO granted patents and 2 published patent applications, plus 1 CIPO patent, primarily in Artificial Intelligence Planning (CPC class G06F). Top assignee: International Business Machines Corporation. Active years: 2008-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Anton Viktorovich Riabov. Retrieved from https://idiyas.com/inventor/anton-viktorovich-riabov

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

USPTO Granted Patents = 67 

% Patents Active = 19.4


Average Co-Inventor Count = 3.7

ph-index = 12

Forward Citations = 838(Granted Patents)

Forward Citations (Not Self Cited) = 800(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • New York, NY (US) (2008 - 2011)
  • Hawthorne, NY (US) (2012 - 2015)
  • Baldwin Place, NY (US) (2016)
  • Ossining, NY (US) (2010 - 2017)
  • Westchester, NY (US) (2015 - 2017)
  • Ann Arbor, MI (US) (2010 - 2022)

Company Filing History:


Years Active: 2008-2022

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Areas of Expertise:
Multi-Agent Plan Recognition
Artificial Intelligence Representations
Scenario Planning
Automated Software Composition
Predictive Hypothesis Exploration
Stream Processing Flows
Dynamic Software Reconfiguration
Collaborative Tagging Systems
Negotiation Management
Data Processing Systems
Information Processing Applications
Privacy Protection
67 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Anton Viktorovich Riabov

Introduction: Anton Viktorovich Riabov is a prominent inventor based in Ossining, NY, known for his groundbreaking work in artificial intelligence and planning systems. With an impressive portfolio of 67 patents, Riabov has made significant contributions to the field, enhancing the capabilities of technology in solving complex problems.

Latest Patents: Among his latest patents are innovative techniques for multi-agent plan recognition and the translation of artificial intelligence representations. The first patent focuses on solving multi-agent plan recognition problems through a computer-implemented method. This involves transforming problem models and ordered sequences of observations into AI planning problems, utilizing a transform algorithm to improve efficiency. The method also incorporates conditions that evolve over time, demonstrating a sophisticated approach to dynamic planning.

The second patent provides techniques for translating graphical representations of domain knowledge into artificial intelligence planning problems. This method includes parsing graphical representations into groupings of terms and validating the resulting planning problem expressed in an AI description language. Such translations serve to bridge the gap between human understanding and machine processing, facilitating smoother interactions with AI systems.

Career Highlights: Riabov has been significantly associated with International Business Machines Corporation (IBM), where he has leveraged his expertise in AI to develop innovative solutions that address pressing technological challenges. His contributions reflect a deep understanding of both theoretical and practical aspects of artificial intelligence, making him a valuable asset to the organization.

Collaborations: Throughout his career, Riabov has collaborated with notable colleagues, including Zhen Liu and Octavian Udrea. Their teamwork has resulted in advancements that push the boundaries of artificial intelligence, showcasing the power of collaboration in driving innovation.

Conclusion: Anton Viktorovich Riabov's work exemplifies the spirit of innovation in the field of artificial intelligence. His numerous patents and collaborative efforts with esteemed colleagues highlight the importance of continuous research and development. As the landscape of technology evolves, contributions from inventors like Riabov will undoubtedly shape the future of AI and its applications.

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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