Company Filing History:
Years Active: 2024-2025
Title: Innovations by Xiaolei Xiu
Introduction
Xiaolei Xiu is a prominent inventor based in Beijing, China. He has made significant contributions to the field of programming languages and data management. With a total of 2 patents, his work focuses on enhancing the efficiency and effectiveness of multi-programming languages and scientific data management.
Latest Patents
Xiaolei Xiu's latest patents include an ontology-based multi-programming language component specifications and workflow system. This invention discloses a system that connects a multi-language programming component manager with a workflow design modeler and a transformation engine. The core workflow engine is designed to standardize the definition of core components, support data conversion, and facilitate custom design creation. This innovation aims to maximize the advantages of various programming languages, achieving a synergistic effect of '1+1>2'.
Another notable patent is a method for generating scientific data management in the field of population health based on a mind map. This method involves obtaining semantic knowledge of a data management plan and building a semantic knowledge model. It maps information from the original data management plan into a structured mind map, ultimately generating a comprehensive scientific data management plan.
Career Highlights
Xiaolei Xiu is affiliated with the Chinese Academy of Medical Sciences, where he applies his expertise in programming and data management. His work has been instrumental in advancing methodologies that enhance the management of scientific data.
Collaborations
Xiaolei has collaborated with notable colleagues such as Sizhu Wu and Zhengyong Hu. Their combined efforts contribute to the innovative projects at the Chinese Academy of Medical Sciences.
Conclusion
Xiaolei Xiu's contributions to the fields of programming languages and data management demonstrate his commitment to innovation. His patents reflect a deep understanding of complex systems and a drive to improve efficiency in scientific data management.