Nuth, Netherlands

Jorn Huibregt Baayen

This inventor holds 1 USPTO granted patent. Top assignee: Kisters Ag. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jorn Huibregt Baayen. Retrieved from https://idiyas.com/inventor/jorn-huibregt-baayen

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

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% Patents Active = 100.0

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Jorn Huibregt Baayen: Innovator in Cyber-Physical Systems

Introduction

Jorn Huibregt Baayen is a notable inventor based in Nuth, Netherlands. He has made significant contributions to the field of optimization problems, particularly in the context of cyber-physical systems. His innovative approach addresses complex challenges in event-dependent multicriteria optimization.

Latest Patents

Baayen holds a patent for a "System for the global solution of an event-dependent multicriteria non-convex optimization problem." This system is designed to solve optimization problems related to at least one cyber-physical system. It includes a control device that manages the cyber-physical system based on a prioritized list of objectives. The patent emphasizes the importance of capturing each objective as an objective function, which consists of two parts: one that directly addresses the objective and another that ensures previous results are not negatively impacted.

Career Highlights

Jorn Huibregt Baayen is associated with Kisters AG, a company known for its innovative solutions in various technological fields. His work at Kisters AG has allowed him to apply his expertise in optimization and control systems, contributing to advancements in the industry.

Conclusion

Jorn Huibregt Baayen is a distinguished inventor whose work in cyber-physical systems and optimization has the potential to influence various technological applications. His patent reflects a deep understanding of complex systems and a commitment to innovation.

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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