Okemos, MI, United States of America

Mengling Hettinger

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: At&t Intellectual Property I, LP. Active years: 2018-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mengling Hettinger. Retrieved from https://idiyas.com/inventor/mengling-hettinger

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

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 2

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2018-2022

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3 patents (USPTO):Explore Patents

Title: Mengling Hettinger: Innovator in Predictive Maintenance

Introduction

Mengling Hettinger is a notable inventor based in Okemos, MI (US). She has made significant contributions to the field of predictive maintenance, holding a total of 3 patents. Her work focuses on utilizing real-time telematics data and historical maintenance data to enhance vehicular maintenance predictions.

Latest Patents

One of her latest patents involves predictive maintenance, where vehicular maintenance is predicted using real-time telematics data and historical maintenance data. Different statistical models are employed, generating an intersecting set of results. Additionally, environmental weather data may be utilized to further refine these predictions.

Career Highlights

Mengling Hettinger is currently associated with AT&T Intellectual Property I, L.P., where she continues to innovate and develop new solutions in her field. Her expertise in predictive maintenance has positioned her as a key player in the industry.

Collaborations

She collaborates with talented individuals such as Anoop Viswanath and Abhay Dabholkar, contributing to a dynamic work environment that fosters innovation.

Conclusion

Mengling Hettinger is a pioneering inventor whose work in predictive maintenance is shaping the future of vehicular technology. Her contributions are invaluable to the industry, and her ongoing projects promise to enhance maintenance practices significantly.

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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