Pune, India

Priyanka Luthra

USPTO Granted Patents = 4 

Average Co-Inventor Count = 4.7

ph-index = 3

Forward Citations = 22(Granted Patents)


Company Filing History:


Years Active: 2022-2023

Loading Chart...
4 patents (USPTO):Explore Patents

Title: Priyanka Luthra: Innovator in Network Visualization

Introduction

Priyanka Luthra is a prominent inventor based in Pune, India. She has made significant contributions to the field of network visualization, particularly in the context of logical networks and their physical implementations. With a total of 4 patents to her name, Priyanka is recognized for her innovative approaches to complex network systems.

Latest Patents

Priyanka's latest patents include groundbreaking methods for visualizing correlations between logical elements and associated physical elements. One of her notable inventions provides a method for visualizing a topology for a logical network implemented in a physical network. This method identifies a set of logical elements and their corresponding physical elements, displaying them through a user interface. Another patent focuses on criteria-based expansion of group nodes in a network topology visualization, allowing users to filter and emphasize specific logical elements based on selected attributes.

Career Highlights

Priyanka currently works at VMware, Inc., where she continues to develop innovative solutions in network visualization. Her work has garnered attention for its practical applications in enhancing the understanding of complex network systems.

Collaborations

Throughout her career, Priyanka has collaborated with talented individuals such as Tarang Khandelwal and Shrinivas Sharad Parashar. These collaborations have contributed to her success and the advancement of her projects.

Conclusion

Priyanka Luthra stands out as a leading inventor in the field of network visualization, with her patents reflecting her commitment to innovation and excellence. Her contributions are paving the way for advancements in understanding and managing complex networks.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…