San Ramon, CA, United States of America

Chandrashekar Basavaiah

USPTO Granted Patents = 6 

Average Co-Inventor Count = 3.8

ph-index = 3

Forward Citations = 63(Granted Patents)


Company Filing History:


Years Active: 2017-2024

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6 patents (USPTO):Explore Patents

Title: Innovations of Chandrashekar Basavaiah

Introduction

Chandrashekar Basavaiah is an accomplished inventor based in San Ramon, CA. He holds a total of six patents, showcasing his expertise in the field of technology and data structures. His work primarily focuses on enhancing the usability and efficiency of graph data structures.

Latest Patents

One of his latest patents involves supporting graph data structure transformations in graphs generated from a query to event data. This patent discloses systems and methods for facilitating transformations of a graph derived from unstructured event data. The event data can represent sequences of related events that describe actions performed in a computing environment. By visualizing these journey instances as a graph, users can better understand the data. The patent addresses the need for different modifications to the graph based on the instances viewed. It allows for graph modifications to be applied to subsets of journey instances after they have been built from unstructured event data, thereby increasing the reuse of instances built from queries against the unstructured data.

Career Highlights

Chandrashekar has worked with notable companies such as Splunk Inc. and eBay Incorporated. His experience in these organizations has contributed significantly to his development as an inventor and innovator in the tech industry.

Collaborations

Some of his coworkers include Elizabeth Li and Eric Nathaniel Tschetter. Their collaboration has likely fostered a creative environment that encourages innovation and the development of new ideas.

Conclusion

Chandrashekar Basavaiah's contributions to the field of technology through his patents and collaborations highlight his role as a significant inventor. His work continues to influence the way data is structured and utilized in computing environments.

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