This inventor holds 4 USPTO granted patents and 9 published patent applications. Top assignees: Robert Bosch, Robert Bosch Gmbh. Active years: 2022-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2026
Title: Evgeny Kharlamov: Innovator in Machine Learning Automation
Introduction
Evgeny Kharlamov is a notable inventor based in Munich, Germany. He has made significant contributions to the field of machine learning, holding a total of 4 patents. His work focuses on automating processes and enhancing the efficiency of machine learning systems.
Latest Patents
One of Kharlamov's latest patents is titled "Device for and method of automating machine learning based on a representation of a machine learning pipeline." This invention includes a method for determining relationships between elements in a machine learning pipeline, allowing for improved automation and user interaction. Another significant patent is for an "Apparatus, computer-implemented method and computer program for automatic analysis of data." This patent involves a method for analyzing RDF datasets, which are structured as undirected graphs, enhancing the understanding of data relationships.
Career Highlights
Throughout his career, Evgeny Kharlamov has worked with prominent companies, including Robert Bosch and Robert Bosch GmbH. His experience in these organizations has allowed him to develop innovative solutions that address complex challenges in machine learning and data analysis.
Collaborations
Kharlamov has collaborated with talented individuals such as Tim Pychynski and Baifan Zhou. These partnerships have contributed to the advancement of his projects and the successful implementation of his inventions.
Conclusion
Evgeny Kharlamov is a distinguished inventor whose work in machine learning automation has led to valuable patents and collaborations. His contributions continue to influence the field and drive innovation forward.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
