Sunnyvale, CA, United States of America

Balaji Kannan

This inventor holds 3 USPTO granted patents. Top assignees: Yahoo! Inc., Excalibur IP, LLC. Active years: 2015-2017.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Balaji Kannan. Retrieved from https://idiyas.com/inventor/balaji-kannan-m7a2ab26

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

Calculating rank

Average Co-Inventor Count = 2.8

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Chennai, IN (2015)
  • Sunnyvale, CA (US) (2015 - 2017)

Company Filing History:


Years Active: 2015-2017

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3 patents (USPTO):Explore Patents

Title: Innovations by Balaji Kannan

Introduction

Balaji Kannan is an accomplished inventor based in Sunnyvale, CA. He has made significant contributions to the field of data processing and graph theory. With a total of 3 patents, his work focuses on enhancing system performance and automating processes related to entity graphs.

Latest Patents

One of his latest patents is titled "Feature rich view of an entity subgraph." This innovation involves a data processing system that employs a pre-processing step to create a simplified view of a received entity graph. During this pre-processing step, only the necessary objects and attributes are selected, which enhances system performance by omitting unnecessary data.

Another notable patent is "Method and system for automatic assignment of identifiers to a graph of entities." This method provides a systematic approach to assigning identifiers to objects within a graph. It involves receiving input data representing multiple objects, categorizing them, and generating a first graph of entities. The process includes matching this graph with a second graph and assigning identifiers based on comparisons of object pairs.

Career Highlights

Balaji has worked with prominent companies such as Yahoo! Inc. and Excalibur IP, LLC. His experience in these organizations has contributed to his expertise in data processing and innovation.

Collaborations

Some of his notable coworkers include Aamod Sane and Zhiwei Gu. Their collaboration has likely fostered an environment of creativity and innovation in their respective projects.

Conclusion

Balaji Kannan's contributions to the field of data processing and graph theory are noteworthy. His patents reflect a commitment to improving system performance and automating complex processes. His work continues to influence the industry and inspire future innovations.

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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