Toronto, Canada

Pushkarini Hemchandra Agharkar

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Pushkarini Hemchandra Agharkar: Innovator in Graph Clustering Technology

Introduction

Pushkarini Hemchandra Agharkar is a notable inventor based in Toronto, Canada. She has made significant contributions to the field of computer science, particularly in the area of graph clustering. Her innovative work has led to the development of a patented technology that enhances content distribution in computer environments.

Latest Patents

Agharkar holds a patent titled "Heterogeneous graph clustering using a pointwise mutual information criterion." This patent describes systems and methods for enforcing policies in a computer environment for content distribution using pointwise mutual information (PMI) based clustering. The system is designed to maintain a network of nodes representing various assets. Upon detecting that an asset is associated with a policy label, the system identifies attributes of the asset and computes a PMI score. This score indicates whether nodes sharing the attributes belong to a single content source. If the PMI score exceeds a predefined threshold, the system identifies a cluster of nodes that share the attributes and tags the cluster as being associated with the relevant content source.

Career Highlights

Agharkar's career is marked by her role at Google Inc., where she has been able to apply her expertise in innovative technologies. Her work has not only contributed to the advancement of her field but has also positioned her as a leader in graph clustering methodologies.

Collaborations

Throughout her career, Agharkar has collaborated with talented individuals such as Oleg Golubitsky and Dake He. These collaborations have further enriched her work and have led to advancements in the technologies she has developed.

Conclusion

Pushkarini Hemchandra Agharkar is a pioneering inventor whose work in graph clustering technology has made a significant impact in the field of computer science. Her innovative patent and contributions at Google Inc. highlight her role as a leader in technological advancements.

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