Izmir, Turkey

Levent Eren

This inventor holds 1 USPTO granted patent. Top assignee: Qatar University. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Levent Eren. Retrieved from https://idiyas.com/inventor/levent-eren

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


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Levent Eren: Innovator in Motor-Fault Detection Technology

Introduction

Levent Eren is a prominent inventor based in Izmir, Turkey. He has made significant contributions to the field of motor-fault detection through his innovative work. His expertise lies in utilizing advanced technologies to enhance the reliability and efficiency of motor systems.

Latest Patents

Levent Eren holds a patent for a groundbreaking invention titled "Method and apparatus for performing motor-fault detection via convolutional neural networks." This patent describes a method that includes receiving a signal from a motor while it is operating. The process involves pre-processing the signal and inputting it into a 1D convolutional neural network. Ultimately, the method detects faults in the motor based on the output of the neural network. He has 1 patent to his name.

Career Highlights

Levent Eren is currently affiliated with Qatar University, where he continues to advance his research and development efforts. His work focuses on integrating machine learning techniques into practical applications, particularly in the field of motor diagnostics.

Collaborations

Levent collaborates with notable colleagues, including Serkan Kiranyaz and Turker Ince. Their combined expertise fosters a dynamic research environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Levent Eren is a distinguished inventor whose work in motor-fault detection exemplifies the intersection of technology and engineering. His contributions are paving the way for more reliable motor systems in various applications.

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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