Plano, TX, United States of America

Maneesha Kalra

This inventor holds 1 USPTO granted patent. Top assignee: Verizon Patent and Licensing Inc.. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Maneesha Kalra. Retrieved from https://idiyas.com/inventor/maneesha-kalra

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Maneesha Kalra: Inventor in Network Authentication

Introduction

Maneesha Kalra is an inventor based in Plano, Texas. Her work includes a patented approach to authenticating client devices using token and device-location information.

Latest Patents

Kalra is associated with 1 patent: “Token and Device Location-Based Automatic Client Device Authentication.” The invention describes a network device receiving a user’s credentials and an enrollment request containing the client device’s network address. It then creates and encrypts a token containing that address and a user identifier, and sends the token to the client device. When the device later seeks access to a protected resource or network service, it can present the token for authentication without requiring the user to provide credentials again.

Career Highlights

Kalra is associated with Verizon Patent and Licensing Inc. Her patent focuses on streamlining client-device authentication while using token and network-address information.

Collaborations

Kalra’s listed coworkers include Siddharth Pandey and Krishna C. Yendrapalli.

Conclusion

Maneesha Kalra’s patent reflects work on convenient, token-based authentication for network services and protected resources.

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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