Cary, NC, United States of America

Caiqin Wang


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations by Caiqin Wang

Introduction

Caiqin Wang is an accomplished inventor based in Cary, NC (US). She has made significant contributions to the field of computer systems through her innovative patent. Her work focuses on enhancing the efficiency of data processing and reconciliation.

Latest Patents

Caiqin Wang holds a patent titled "Parallel processing techniques for expediting reconciliation for a hierarchy of forecasts on a computer system." This patent describes a method that utilizes parallel processing techniques to expedite the reconciliation of forecasts that have a hierarchical relationship. The computer system can distribute forecasts among computing nodes by time point, allowing for efficient data processing. The processing threads across the computing nodes execute a reconciliation process in parallel, generating reconciled values that can be output by the system. This innovation has the potential to significantly improve the speed and accuracy of data reconciliation in various applications.

Career Highlights

Caiqin Wang is currently employed at SAS Institute Inc., a leading company in analytics and data management. Her role involves leveraging her expertise in computer systems to develop innovative solutions that address complex data challenges. With her background and skills, she has positioned herself as a valuable asset to her team and the organization.

Collaborations

Caiqin has collaborated with notable colleagues, including Matthew Wayne Simpson and Nilesh Jakhotiya. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Caiqin Wang's contributions to the field of computer systems through her innovative patent demonstrate her commitment to advancing technology. Her work not only enhances data processing efficiency but also showcases the importance of collaboration in driving innovation.

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