Munich, Germany

Can Onur

This inventor holds 3 USPTO granted patents and 3 published patent applications and 1 EPO patent. Top assignee: The Boeing Company. Active years: 2024-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Can Onur. Retrieved from https://idiyas.com/inventor/can-onur

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

USPTO Granted Patents = 3 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.9

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):Explore Patents

Title: Can Onur: Innovator in Surrogate Modeling and Pilot Training Technologies

Introduction

Can Onur is a distinguished inventor based in Munich, Germany. He has made significant contributions to the fields of surrogate modeling and pilot training technologies. With a total of 3 patents, Onur's work is recognized for its innovative approaches and practical applications.

Latest Patents

One of Can Onur's latest patents is focused on license-free surrogate model generation. This invention provides a method, node, and computer-readable medium to convert a proprietary model into a tool-agnostic surrogate model using a functional mockup interface (FMI) standard. The process begins with receiving a proprietary model as a functional-mockup unit (FMU). An automated dataset generation is performed on the FMU to create input/output datasets based on design of experiments and input requirements. Steady-state operational points are determined, and the tool-agnostic surrogate model is generated based on these datasets. The output is an FMU model that is free of licensing requirements for the proprietary model. This model may be a steady-state surrogate model, a dynamic surrogate model, or a combination of both.

Another notable patent by Onur is related to quantitative pilot evaluation during training. This device for pilot training includes a memory, an interface, and one or more processors. The memory is configured to store at least one computational model of a human sensory system. The interface receives sensor data and aircraft state data from a flight simulator, which includes pilot activity data and motion data. The processors process this data to predict a pilot's estimated aircraft state and determine an estimated error based on a comparison with the detected aircraft state. This innovative approach enhances the training experience for pilots.

Career Highlights

Can Onur is currently employed at The Boeing Company, where he continues to develop cutting-edge technologies in aviation and modeling. His work has garnered attention for its potential to improve pilot training and operational efficiency in the aerospace industry.

Collaborations

Onur collaborates with talented professionals in his field, including Pieter Van Gils and Barend-Jan Van Bruchem. These collaborations enhance the innovative capacity of his projects and contribute to the advancement of technology in aviation.

Conclusion

Can Onur is a prominent inventor whose work in surrogate modeling and pilot training technologies is paving the way for advancements in the aerospace industry. His innovative patents reflect a

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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