Fenton, MI, United States of America

Kerfegar Khurshed Katrak

This inventor holds 102 USPTO granted patents and 11 published patent applications and 8 EPO patents, primarily in Functional Safety Systems (CPC class H01M10-482). Top assignees: Gm Global Technolgoy Operations, Inc., Lg Chem, Ltd, Fort Robotics, Inc.. Active years: 2002-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kerfegar Khurshed Katrak. Retrieved from https://idiyas.com/inventor/kerfegar-khurshed-katrak

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

USPTO Granted Patents = 102 

% Patents Active = 71.6

 

Average Co-Inventor Count = 1.7

ph-index = 10

Forward Citations = 534(Granted Patents)

Forward Citations (Not Self Cited) = 464(Dec 10, 2025)


Inventors with similar research interests:


    Location History:

    • Fenton, MI (US) (2002 - 2022)
    • Philadelphia, PA (US) (2023 - 2024)

    Company Filing History:


    Years Active: 2002-2026

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    Areas of Expertise:
    Functional Safety
    Battery Management
    Voltage Monitoring
    Diagnostic Systems
    Data Transmission
    Microcontroller
    Ternary State Translation
    Self-Diagnosing
    DC-DC Converter
    Fault Detection
    Communication Faults
    Voltage Regulators
    102 patents (USPTO):Explore Patents

    Title: **Kerfegar Khurshed Katrak: Innovator in Fault Detection Technologies**

    Introduction

    Kerfegar Khurshed Katrak is a prominent inventor based in Fenton, MI, who has made significant contributions to technology with an impressive portfolio of 99 patents. His work focuses particularly on ensuring functional safety in various applications, with an emphasis on microcontroller technologies.

    Latest Patents

    Katrak’s latest innovations highlight his expertise in fault detection systems. One of his notable patents is titled “Ensuring functional safety requirement satisfaction using fault-detectable microcontroller identifiers.” This patent describes a method where an application processor receives and concatenates safety state information from multiple microcontrollers. It meticulously ensures the verification of safety state information by comparing sets of identifiers against known microcontroller identifiers.

    Another recent patent he holds is for a “Method for encoded diagnostics in a functional safety system.” This patent outlines a process for storing valid codewords that correspond to the functional and fault states of controller subsystems. This system effectively outputs specific codewords based on the detection of matches or mismatches, enhancing diagnostic accuracy in functional safety applications.

    Career Highlights

    Throughout his career, Kerfegar Khurshed Katrak has collaborated with leading companies in the technology sector. He has worked with General Motors Global Technology Operations LLC and LG Chem, Ltd., both of which are at the forefront of innovation in their respective fields. His experience in these organizations has allowed him to develop cutting-edge technologies that enhance functional safety and operational efficiency.

    Collaborations

    In his professional journey, Katrak has teamed up with talented colleagues including Paul Alan Bauerle and Kunal Tipnis. These collaborations have contributed to the development of vital technologies and advancements in functional safety systems.

    Conclusion

    Kerfegar Khurshed Katrak's prolific patent portfolio and his work in enhancing fault detection technologies signify his vital role in the field of engineering and innovation. His contributions not only reflect his expertise but also underscore the importance of safety and reliability in technology development. As he continues to innovate, Katrak remains a significant figure in the pursuit of advanced safety solutions in microcontroller applications.

    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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