This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 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: 2026
Title: Innovations by Xiao Liang Ge
Introduction
Xiao Liang Ge is an accomplished inventor based in Xi'an, China. He has made significant contributions to the field of data restoration through his innovative patent. His work focuses on improving the efficiency and reliability of data recovery processes.
Latest Patents
Xiao Liang Ge holds a patent for a method, computer system, and computer program product aimed at enhancing data restoration using dynamic optimization. The patent, titled "Improving data restoration using dynamic optimization," outlines a process where data is obtained from multiple resources during various tasks. These resources are situated within one or more computing networks. The invention involves extracting a plurality of parameters from the obtained data and generating a table that includes these parameters along with their associated tasks. A predicted recovery time is calculated based on this table, allowing for the establishment of task priorities to optimize recovery times. Additionally, a restoration model is generated based on updated recommendations, which is utilized during instances of resource unavailability or failure.
Career Highlights
Xiao Liang Ge is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to further develop his expertise in data management and optimization techniques.
Collaborations
Xiao Liang Ge has collaborated with notable colleagues, including Bo Song and Meng Ru Hou, who contribute to the innovative environment at IBM.
Conclusion
Xiao Liang Ge's contributions to data restoration technology exemplify the impact of innovative thinking in the field of computer science. His patent reflects a commitment to improving data recovery processes, showcasing the importance of dynamic optimization in modern computing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
