Madison, WI, United States of America

Srinath Shankar

USPTO Granted Patents = 15 


Average Co-Inventor Count = 3.3

ph-index = 6

Forward Citations = 160(Granted Patents)


Location History:

  • Mountain View, CA (US) (2016 - 2019)
  • Madison, WI (US) (2015 - 2022)

Company Filing History:


Years Active: 2015-2022

where 'Filed Patents' based on already Granted Patents

15 patents (USPTO):

Title: Innovations of Srinath Shankar

Introduction

Srinath Shankar is a notable inventor based in Madison, WI (US), with a remarkable portfolio of 15 patents. His work primarily focuses on advancements in distributed query processing and graph databases, showcasing his expertise in the field of technology.

Latest Patents

One of his latest patents is the "Per-node custom code engine for distributed query processing." This innovation addresses the limitations of traditional distributed query processing architectures by allowing for the selection of nodes for various portions of a query. It generates customized code for each node, enabling efficient execution without the need to materialize partial results to storage. Another significant patent is "Transforming and evaluating missing values in graph databases." This system processes queries in a graph database, transforming queries that contain missing value parameters into usable formats, thus enhancing the efficiency of data retrieval.

Career Highlights

Srinath has worked with prominent companies such as Microsoft Technology Licensing, LLC and LinkedIn Corporation. His experience in these organizations has contributed to his development as a leading inventor in the technology sector.

Collaborations

Srinath has collaborated with notable professionals in his field, including Scott M. Meyer and Alan D. Halverson. These collaborations have likely enriched his work and contributed to his innovative projects.

Conclusion

Srinath Shankar's contributions to technology through his patents and career achievements highlight his significant role as an inventor. His work continues to influence advancements in distributed query processing and graph databases.

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