Scottsdale, AZ, United States of America

Kristen Jaskie

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Arizona State University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kristen Jaskie. Retrieved from https://idiyas.com/inventor/kristen-jaskie

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

Calculating rank
USPTO Granted Patents = 1 

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: Kristen Jaskie: Inventor in Photovoltaic Fault Detection

Introduction

Kristen Jaskie is an inventor associated with Arizona State University in Scottsdale, Arizona. Her patent work addresses methods for identifying and classifying faults in photovoltaic arrays.

Latest Patents

Jaskie is named on 1 patent: “Systems and Methods for Photovoltaic Fault Detection Using a Feedback-Enhanced Positive Unlabeled Learning.” The invention describes a system that uses limited labeled data to classify photovoltaic-array faults. It builds on positive-unlabeled learning techniques by adding a feedback loop that expands the features considered in operational data according to their learned importance.

Career Highlights

Jaskie’s patent reflects research focused on applying machine-learning methods to photovoltaic system monitoring. The approach is designed to help identify faults when only a relatively small amount of labeled data is available.

Collaborations

The patent lists Joshua Martin and Andreas Spanias among Jaskie’s collaborators. Their work connects photovoltaic fault detection with data-driven classification methods.

Conclusion

Kristen Jaskie’s patented work contributes a feedback-enhanced learning approach for detecting and classifying faults in photovoltaic arrays.

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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