Bengaluru, India

Amrit Kaur Mann

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Honeywell International Inc.. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Amrit Kaur Mann. Retrieved from https://idiyas.com/inventor/amrit-kaur-mann

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Amrit Kaur Mann: Inventor in Vehicle Context and Environmental Data

Introduction

Amrit Kaur Mann is an inventor associated with Bengaluru, India, and Honeywell International Inc. Her work includes a patent on sharing environmental data between vehicles and determining whether that information is relevant to a receiving vehicle.

Latest Patents

Mann is named on one patent, titled “Methods and Systems for Relevance Determination of Shared Environmental Data Based on Vehicle Context.” The invention describes a system in which a receiving vehicle obtains environmental data from a sending vehicle and evaluates its relevance using the receiving vehicle’s context. If the data is relevant, the system determines a remedial action and sends instructions to the appropriate vehicle component system. Mann’s listed patent portfolio includes 1 patent.

Career Highlights

Mann’s patent work addresses context-aware environmental data sharing for vehicles. The disclosed approach connects information received from another vehicle with a potential response by the receiving vehicle, supporting more tailored vehicle-system actions.

Collaborations

Mann’s listed coworkers include Visvanathan Thanigai Nathan and Jason Garde. Her patent is associated with Honeywell International Inc.

Conclusion

Amrit Kaur Mann’s patent highlights an approach to evaluating shared environmental data in light of a vehicle’s context and using relevant information to guide remedial actions.

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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