Palo Alto, CA, United States of America

Umashankar Sandilya

USPTO Granted Patents = 4 

Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Palo Alto, CA (US) (2023)
  • Redwood City, CA (US) (2023)

Company Filing History:


Years Active: 2023-2025

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4 patents (USPTO):Explore Patents

Title: Innovations of Umashankar Sandilya

Introduction

Umashankar Sandilya is a notable inventor based in Palo Alto, California. He has made significant contributions to the field of dynamic network analysis and machine learning. With a total of four patents to his name, Sandilya's work focuses on enhancing the understanding and management of complex networks.

Latest Patents

Sandilya's latest patents include "Systems and methods for full history dynamic network analysis." This patent outlines methods for determining a historical state of a dynamic network by continuously obtaining data from various sources and constructing a full history dynamic network (FHDN). The system allows users to query the FHDN for historical time instances. Another significant patent is "Systems and methods for event assignment of dynamically changing islands." This invention applies machine learning to detect network interruptions and ascribe them to specific components within the network. It involves mapping a network of dynamically changing islands and localizing events at both the individual component and island levels.

Career Highlights

Umashankar Sandilya is currently employed at C3.ai, Inc., where he continues to innovate in the field of artificial intelligence and network analysis. His work has been instrumental in developing systems that improve the efficiency and reliability of network management.

Collaborations

Sandilya collaborates with talented professionals in his field, including Henrik Ohlsson and Mehdi Maasoumy Haghighi. Their combined expertise contributes to the advancement of technologies that address complex network challenges.

Conclusion

Umashankar Sandilya's contributions to dynamic network analysis and machine learning are noteworthy. His innovative patents reflect a commitment to enhancing the understanding of complex systems. Through his work at C3.ai, Inc., he continues to push the boundaries of technology and innovation.

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