Dallas, TX, United States of America

Madhavi Kulkarni

This inventor holds 1 USPTO granted patent. Top assignee: Maxim Integrated Products, Inc.. Active years: 2017.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Madhavi Kulkarni. Retrieved from https://idiyas.com/inventor/madhavi-kulkarni

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 = 2.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Madhavi Kulkarni: Inventor in Device Verification

Introduction

Madhavi Kulkarni is an inventor associated with Dallas, Texas. Her patent work includes a system for verifying device hardware and firmware, and she is credited with 1 patent.

Latest Patents

Kulkarni’s patent, “Device Verification System with Firmware Universal Verification Component,” describes a device under test (DUT) containing digital logic and digital memories. Hardware Verification Intellectual Property (VIP) modules verify the DUT’s hardware, while software VIP modules verify its firmware.

The patent also describes a method for testing a DUT by automatically developing code segments that represent firmware test patterns, transferring those segments into the DUT’s digital memory, and monitoring the device as it executes them.

Career Highlights

Kulkarni is associated with Maxim Integrated Products, Inc. Her patent reflects work on integrating hardware and software verification to assess device functionality.

Collaborations

Neyaz Khan is identified as a coworker associated with Kulkarni.

Conclusion

Madhavi Kulkarni’s patent documents an approach to device verification that combines hardware testing with firmware test patterns executed by the device.

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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