Corvallis, OR, United States of America

Maria Kavanaugh

This inventor holds 1 USPTO granted patent. Top assignee: Oregon State University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Maria Kavanaugh. Retrieved from https://idiyas.com/inventor/maria-kavanaugh

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Maria Kavanaugh and Her Patent for Operational Forecasting

Introduction

Maria Kavanaugh is an inventor associated with Corvallis, Oregon, and Oregon State University. Her work focuses on forecasting events in complex systems by identifying early warning signs in the behavior of observable actors.

Latest Patents

Kavanaugh is credited with 1 patent, titled “Operational Forecasting System Based on Anomalous Behaviors in Complex Systems.” The invention describes a general-purpose approach to detecting and predicting the actions of unobserved actors and addressing the challenges of intervention and prevention.

The system analyzes data from complex systems and looks for unusual behaviors among observable actors. These behaviors may indicate that the actors are responding to unseen agents causing systemic change. By using these signals, the system aims to predict when an event will occur before it happens.

Career Highlights

Kavanaugh’s patent presents an approach to operational forecasting that seeks to identify emerging disruptions through patterns in observed behavior. The method is designed to support earlier awareness of potential events in complex systems.

Collaborations

Kavanaugh’s listed coworkers include James R. Watson and Andrew John Woodill. Her work is associated with Oregon State University.

Conclusion

Maria Kavanaugh’s patent describes a forecasting system that uses anomalous behavior as an early warning signal, with the goal of anticipating events in complex systems before they occur.

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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