Niskayuna, NY, United States of America

Fotios Kopsaftopoulos

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Rensselaer Polytechnic Institute. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Fotios Kopsaftopoulos. Retrieved from https://idiyas.com/inventor/fotios-kopsaftopoulos

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: Fotios Kopsaftopoulos and Multicopter Rotor Fault Diagnosis

Introduction

Fotios Kopsaftopoulos is an inventor associated with Rensselaer Polytechnic Institute in Niskayuna, New York. His patent work includes a system designed to detect and identify faults in multicopter rotors.

Latest Patents

The provided information lists 1 patent for Kopsaftopoulos: “Multicopter Online Rotor Fault Diagnosis System.” The invention uses sensors attached to the multicopter’s booms to measure out-of-plane strain and continuously send strain signals to a controller. The controller applies a pattern-recognition algorithm to detect and identify rotor faults simultaneously.

Career Highlights

Kopsaftopoulos’s listed invention focuses on structural sensing and automated fault diagnosis for multicopters. By monitoring boom strain near the rotors, the system is designed to help identify rotor-related problems through ongoing analysis of sensor data.

Collaborations

The provided information names Airin Dutta and Farhan Gandhi as coworkers associated with Kopsaftopoulos.

Conclusion

Fotios Kopsaftopoulos’s patent describes a sensor-based approach to multicopter rotor fault diagnosis, combining continuous strain measurements with pattern recognition.

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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