Aschheim, Germany

Alexander Körner


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Alexander Körner: Innovator in Geographic Edge Node Data Access Control

Introduction

Alexander Körner is a notable inventor based in Aschheim, Germany. He has made significant contributions to the field of data access control, particularly in the context of geographic edge nodes. His innovative approach addresses the complexities of managing data access in regulated environments.

Latest Patents

Körner holds a patent for a method, computer program product, and computer system designed for geographic edge node data access control. This patent outlines a method that includes obtaining a regulation control template for managing access to data on an edge node for a new regulation region. The process involves adjusting active regulation controls based on the template and inferring the impact of these adjustments on the operation parameters of the edge node. If the impact is negative, further adjustments are made according to alternative rules in the regulation control template. The method also verifies the validity of these adjustments, ensuring effective data management.

Career Highlights

Körner is currently employed at International Business Machines Corporation (IBM), where he continues to develop innovative solutions in data management and access control. His work is instrumental in enhancing the efficiency and security of data handling in edge computing environments.

Collaborations

Throughout his career, Körner has collaborated with talented professionals, including Alecio Pedro Delazari Binotto and Dwarkanath Pralhad Rao. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Alexander Körner's contributions to geographic edge node data access control exemplify the importance of innovation in technology. His work not only addresses current challenges but also paves the way for future advancements in data management.

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