This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Technische Universitat Kaiserslautern. Active years: 2020.
Company Filing History:
Years Active: 2020
Title: Innovations of Valentin Grigorovici
Introduction
Valentin Grigorovici is a notable inventor based in Iasi, Romania. He has made significant contributions to the field of computer science, particularly in the area of network analysis. His innovative approach has led to the development of a unique patent that enhances the understanding of graph structures.
Latest Patents
Valentin Grigorovici holds a patent for an invention titled "Automated determination of networks motifs." This invention relates to a computer-implemented method and a 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 first graph in memory and performing a series of calculation steps to compute co-occurrences efficiently. The process includes loading blocks of rows from the binary adjacency matrix, streaming uncached rows, and computing logical conjunctions to obtain co-occurrence results.
Career Highlights
Valentin Grigorovici is associated with Technische Universität Kaiserslautern, where he contributes to research and development in his field. His work has garnered attention for its practical applications in network analysis and graph theory. With a focus on innovative methodologies, he continues to push the boundaries of what is possible in computational analysis.
Collaborations
Valentin has collaborated with esteemed colleagues such as Christian Brugger and Christian De Schryver. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and advancements in technology.
Conclusion
Valentin Grigorovici's contributions to the field of computer science through his patent and collaborative efforts highlight his role as an influential inventor. His work not only advances academic knowledge but also has practical implications in the analysis of complex networks.