This inventor holds 1 USPTO granted patent. Top assignee: Siemens Aktiengesellschaft. Active years: 2015.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2015
Title: Marko Bogeljic: Innovator in Mechanical-Electrical Machine Behavior Visualization
Introduction
Marko Bogeljic is a notable inventor based in Klagenfurt, Austria. He has made significant contributions to the field of mechanical-electrical machine behavior modeling. His innovative approach focuses on enhancing the visualization of complex machine operations.
Latest Patents
Marko holds a patent for "Non-linear time scale optimization for mechanical-electrical machine behavior model visualization." This patent presents a visual representation of a mechanical-electrical machine behavior model that utilizes a non-linear time scale. The innovation allows for the illustration of multiple details occurring in a relatively short time frame without compromising the information contained in the complete model. By identifying and minimizing time periods without user-relevant details, the display space can adequately represent the actions of each machine. This method effectively 'folds' longer time periods to occupy shorter lengths along the time axis, thereby providing additional space to illustrate the details of each operation.
Career Highlights
Marko is currently employed at Siemens Aktiengesellschaft, where he applies his expertise in mechanical-electrical systems. His work at Siemens has allowed him to further develop his innovative ideas and contribute to the advancement of technology in this field.
Collaborations
Throughout his career, Marko has collaborated with talented colleagues, including Oswin Noetzelmann and Jochen Handels. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking solutions.
Conclusion
Marko Bogeljic is a distinguished inventor whose work in mechanical-electrical machine behavior visualization has made a significant impact in the field. His innovative patent demonstrates his commitment to enhancing the understanding of complex machine operations.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
