Company Filing History:
Years Active: 2021-2024
Title: Viktor Kuropiatnyk: Innovator in Computing Systems
Introduction
Viktor Kuropiatnyk is a notable inventor based in Horgen, Switzerland. He has made significant contributions to the field of computing systems, holding a total of three patents. His work focuses on exploring data structures and enhancing user interaction with hierarchical graphs.
Latest Patents
One of Viktor's latest patents is titled "Visually exploring implicit features of hierarchical graphs based on attributes of nodes of the graphs." This invention involves a computing system, program products, and a computer-implemented method for exploring data. It captures connected graph nodes associated with attributes containing human-readable data. The interaction loop receives user-selected attributes and executes subroutines to determine layouts of an arborescence extending from focal nodes. The subroutines compute layout data, including coordinates of the connected nodes, which are determined based on distance-dependent quantities.
Another significant patent is "Preparing a database for a domain specific application using a centralized data repository." This method involves creating a database for a specific application by providing a centralized data repository. It includes identifying data units that represent a specific domain and creating a reference set that selects pivotal and non-pivotal entity types related to the application.
Career Highlights
Viktor Kuropiatnyk is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to leverage his expertise in computing systems and data exploration.
Collaborations
Viktor has collaborated with notable coworkers, including Maksym Lysak and Nikolaos Livathinos. Their combined efforts contribute to the innovative projects at IBM.
Conclusion
Viktor Kuropiatnyk is a distinguished inventor whose work in computing systems and data exploration has led to valuable patents. His contributions continue to influence the field and enhance user interaction with complex data structures.
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