Atlanta, GA, United States of America

Mahboubeh Hejazibakhsh

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Honeywell International Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mahboubeh Hejazibakhsh. Retrieved from https://idiyas.com/inventor/mahboubeh-hejazibakhsh

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Mahboubeh Hejazibakhsh: Inventor in Process Simulation

Introduction

Mahboubeh Hejazibakhsh is an inventor associated with Atlanta, Georgia, and Honeywell International Inc. Her patent work addresses ways to improve predictions used in industrial process simulation.

Latest Patents

Hejazibakhsh is credited with 1 patent: “Systems, Apparatuses, Methods, and Computer Program Products for Correcting Process Simulation Predictions as a Function of Operating Conditions.” The invention describes a hybrid process simulation model that uses industrial plant operating data to generate predictions for process variables. It also estimates discrepancies between model predictions and ground-truth data, then uses those estimates to produce corrected, optimal predictions. The resulting output can support prediction-based actions.

Career Highlights

Her patent reflects work at the intersection of process simulation, predictive modeling, and industrial operations. By accounting for operating conditions and estimated prediction errors, the disclosed approach aims to make simulation outputs more useful for operational decision-making.

Collaborations

The provided information identifies John Goodman and Abhishek Pednekar as Hejazibakhsh’s coworkers. Her patent is associated with Honeywell International Inc.

Conclusion

Mahboubeh Hejazibakhsh’s patented work focuses on correcting process simulation predictions to support more reliable industrial decisions.

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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