Mohali, India

Amandeep Sharma

This inventor holds 1 USPTO granted patent. Top assignee: Accenture Global Solutions Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Amandeep Sharma. Retrieved from https://idiyas.com/inventor/amandeep-sharma-qzkeph82

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Amandeep Sharma and Electric Vehicle Operational Optimization.

Introduction

Amandeep Sharma is an inventor based in Mohali, India, whose work includes a patent application focused on optimizing electric vehicle operations. He is associated with Accenture Global Solutions Limited.

Latest Patents

Sharma’s listed patent, “System and Method for Electric Vehicle Operational Optimization,” describes a system that uses processor-executable instructions and input data to predict an electric vehicle’s health and performance parameters. It generates simulated instances of the vehicle and tests them in a virtual environment to assess its behavior, performance, and health. The system can identify abnormalities, determine corrective actions, and control vehicle operations by carrying out those actions. Sharma is credited with 1 patent.

Career Highlights

A key highlight of Sharma’s listed inventive work is applying simulation and predictive analysis to electric vehicle monitoring and operational control. His affiliation with Accenture Global Solutions Limited provides professional context for this work.

Collaborations

Sharma’s listed coworkers include Sudhindra Krishnamurthy and Prince Kumar. The available information identifies them as coworkers but does not specify their roles in the patent.

Conclusion

Amandeep Sharma’s patent work addresses electric vehicle optimization through predictive assessment, virtual simulation, and corrective operational 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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