Company Filing History:
Years Active: 2017
Title: Innovations by Bingfeng Ding
Introduction
Bingfeng Ding is an accomplished inventor based in Cary, NC (US). He has made significant contributions to the field of technology, particularly in resource allocation and data processing. With a total of 2 patents, his work demonstrates a commitment to enhancing efficiency and accuracy in various computing applications.
Latest Patents
Bingfeng Ding's latest patents include a "Computer-implemented system for modeling an allocated resource." This invention focuses on methods, mediums, and systems for accounting for extensions or reductions of the period for which a resource, such as computer processor time or storage units, is allocated. The exemplary embodiments aim to model the aggregated effects of allocation, allowing for more accurate and efficient allocation forecasts based on historical data.
Another notable patent is the "Computer-implemented system for hierarchical unconstraining in data processes." This invention addresses the correction of censored or constrained historical data using various computing devices. The corrected data can be utilized in forecasting demand for limited resources, enhancing the granularity of data modeling and improving the efficiency of resource allocation.
Career Highlights
Bingfeng Ding is currently employed at SAS Institute Inc., a leading analytics software company. His work at SAS Institute has allowed him to apply his innovative ideas in practical settings, contributing to the development of advanced data processing solutions.
Collaborations
Bingfeng has collaborated with notable colleagues, including Kevin L. Scott and Metin Balikcioglu. These collaborations have fostered an environment of innovation and creativity, leading to the development of impactful technologies.
Conclusion
Bingfeng Ding's contributions to the field of technology through his patents and work at SAS Institute Inc. highlight his role as a significant innovator. His inventions not only address current challenges in resource allocation and data processing but also pave the way for future advancements in these areas.