This inventor holds 2 USPTO granted patents. Top assignee: Pivotal Software, Inc.. Active years: 2020-2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020-2021
Title: Xixuan Feng: Innovator in Parallel Time Series Analysis
Introduction
Xixuan Feng is a notable inventor based in Palo Alto, CA, who has made significant contributions to the field of data analysis. He holds 2 patents that focus on advanced methodologies for processing time series data. His work is particularly relevant in today's data-driven world, where efficient data analysis is crucial.
Latest Patents
Xixuan Feng's latest patents revolve around parallel time series analysis. These patents describe methods, systems, and apparatuses, including computer programs encoded on computer storage media, for conducting parallel time series analysis. One of the key methods involves receiving a plurality of data elements, which are then partitioned into multiple chunks. Each chunk is assigned to a specific segment, and iterations of an autoregressive integrated moving average are computed for each chunk until certain stopping criteria are met. This innovative approach enhances the efficiency and accuracy of time series data analysis.
Career Highlights
Xixuan Feng is currently employed at Pivotal Software, Inc., where he applies his expertise in data analysis and software development. His work at Pivotal Software has allowed him to collaborate with other talented professionals in the field, further advancing his contributions to technology.
Collaborations
Some of Xixuan Feng's coworkers include Hai Qian and Caleb E Welton. Their collaborative efforts contribute to the innovative environment at Pivotal Software, fostering advancements in software solutions.
Conclusion
Xixuan Feng is a prominent inventor whose work in parallel time series analysis is paving the way for more efficient data processing techniques. His contributions are essential in the evolving landscape of data analytics, and his patents reflect a commitment to innovation in this critical field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
