This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Technische Universitat Kaiserslautern. Active years: 2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020
Title: Christian Brugger: Innovator in Network Motif Determination
Introduction
Christian Brugger is a notable inventor based in Kaiserslautern, Germany. He has made significant contributions to the field of computer science, particularly in the area of network analysis. His innovative approach to determining co-occurrences in graphs has led to the development of a patented method that enhances the efficiency of data processing.
Latest Patents
Christian Brugger holds a patent for an invention titled "Automated determination of networks motifs." This invention relates to a computer-implemented method and system for determining co-occurrences in at least one graph with n vertices and E edges. The method involves storing a binary adjacency matrix representing a graph, performing calculation steps to load and process rows of the matrix, and computing logical conjunctions to obtain co-occurrences. This innovative approach streamlines the analysis of complex networks.
Career Highlights
Christian Brugger is affiliated with the Technische Universität Kaiserslautern, where he contributes to research and development in computer science. His work focuses on enhancing computational methods and systems that facilitate the analysis of network structures. His expertise in this domain has positioned him as a valuable asset in academic and research circles.
Collaborations
Christian has collaborated with esteemed colleagues, including Katharina Anna Zweig and Valentin Grigorovici. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas in the field of network analysis.
Conclusion
Christian Brugger's contributions to the field of computer science, particularly through his patented method for network motif determination, highlight his role as an influential inventor. His work continues to impact the way complex networks are analyzed and understood.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile