Austin, TX, United States of America

John Carl Grzinich

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 1999.


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 1999

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1 patent (USPTO):Explore Patents

Title: Innovations by John Carl Grzinich

Introduction

John Carl Grzinich is a notable inventor based in Austin, TX. He has made significant contributions to the field of technology, particularly in the area of evaluating intrusive repairs. His innovative approach combines data analysis with causal diagrams to enhance repair processes.

Latest Patents

Grzinich holds a patent titled "Method and system for evaluating intrusive repair for plurality of devices." This invention discloses a system and method to evaluate intrusive repair by analyzing field data and drawing causal diagrams. The method includes providing a threshold time window for analyzing failure data and utilizing a causal diagram to indicate the probability of intrusive repair. Two key measures are defined in this patent: intrusivability and one-fixability. Intrusivability assesses the likelihood that a repair action will introduce a new fault, while one-fixability evaluates the probability that the diagnostic process will successfully fix the fault on the first attempt.

Career Highlights

Grzinich is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and contribute to advancements in technology. His work focuses on improving repair methodologies through data-driven approaches.

Collaborations

Some of his notable coworkers include Manoranjan Kanthanathan and Arun Chandra, who collaborate with him on various projects within IBM.

Conclusion

John Carl Grzinich's contributions to the field of technology through his innovative patent demonstrate his commitment to enhancing repair processes. His work continues to influence the industry and showcases the importance of data analysis in improving system reliability.

Profile summary based on public USPTO records.
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