This inventor holds 5 USPTO granted patents and 1 published patent application and 2 EPO patents. Top assignees: Siemens Aktiengesellschaft, Siemens Healthineers Ag. Active years: 2023-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2026
Title: Maja Milicic Brandt: Innovator in Data Transformation and Production Processes
Introduction
Maja Milicic Brandt is a prominent inventor based in Munich, Germany. She has made significant contributions to the fields of data transformation and production processes. With a total of 5 patents, her work focuses on enhancing automation and efficiency in industrial applications.
Latest Patents
Maja's latest patents include a method for transforming a data model for automation purposes into a target ontology. This innovative approach involves the transformation of an OPC UA data model into an ontology, facilitating validation, querying, and analytics using advanced standard tools. Another notable patent is a system and method for generating a plant bill of process (PBoP) from a product bill of process (PdBoP). This production support system enhances operational capabilities by identifying and selecting production entities based on their capabilities.
Career Highlights
Maja Milicic Brandt is currently employed at Siemens Aktiengesellschaft, where she applies her expertise in data modeling and production processes. Her work at Siemens has positioned her as a key player in the development of innovative solutions that drive efficiency in manufacturing.
Collaborations
Maja collaborates with talented professionals such as Stephan Grimm and Michal Skubacz, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Maja Milicic Brandt's contributions to the fields of data transformation and production processes highlight her role as a leading inventor. Her patents reflect her commitment to advancing technology and improving industrial practices.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
