Southfield, MI, United States of America

Aloysius Anagonye

This inventor holds 1 USPTO granted patent. Top assignee: Gm Global Technolgoy Operations, Inc.. Active years: 2007.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Aloysius Anagonye. Retrieved from https://idiyas.com/inventor/aloysius-anagonye

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


% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2007

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Aloysius Anagonye

Introduction

Aloysius Anagonye is a notable inventor based in Southfield, MI, who has made significant contributions to the field of machining processes. With a focus on predictive modeling, his work aims to enhance the quality of workpiece features through innovative techniques.

Latest Patents

Aloysius holds a patent for "Predictive modeling of machining line variation." This invention involves a multistage machining process that includes several stations. The quality of workpiece features is predicted by breaking down the machining process into sources of variation. It also incorporates error models that account for significant contributions to feature quality, including those from categorical sources of variation.

Career Highlights

Aloysius Anagonye is currently employed at GM Global Technology Operations LLC, where he applies his expertise in machining processes. His innovative approach has led to advancements in the efficiency and quality of manufacturing operations.

Collaborations

Aloysius has worked alongside talented colleagues such as John Stilianos Agapiou and Eric A Steinhilper, contributing to a collaborative environment that fosters innovation and creativity.

Conclusion

Aloysius Anagonye's contributions to predictive modeling in machining processes highlight his role as a forward-thinking inventor. His work not only enhances manufacturing quality but also sets a precedent for future innovations in the industry.

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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