Beijing, China

Ting Ting Wen

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):

Title: The Innovative Mind of Ting Ting Wen

Introduction

Ting Ting Wen is a notable inventor based in Beijing, China, recognized for his contributions to resource allocation techniques in data processing. With a strong focus on optimizing job execution by analyzing dependencies and metrics, Wen's innovative approach aims to enhance the efficiency of resource utilization in complex computing environments.

Latest Patents

Wen holds a patent that elaborates on advanced methods for allocating resources effectively. This patent details a process that involves receiving a first sub-stream of a data stream linked to a job, determining the dependencies of various job stages, and assessing a metric from a completed second sub-stream. By leveraging the insights from these metrics and dependencies, his techniques facilitate better resource allocation for processing the first sub-stream, representing a significant step forward in data stream management.

Career Highlights

Ting Ting Wen's career is marked by his position at the International Business Machines Corporation (IBM), where he utilizes his expertise in data processing and resource allocation strategies. His innovative spirit and dedication to improving efficiency in technology have made him a valuable member of his team.

Collaborations

Wen collaborates closely with fellow co-workers Qing Xu and Yi Shan Jiang, contributing to a dynamic environment that fosters creativity and innovation. This collaboration between inventors enhances their ability to tackle complex problems and develop groundbreaking solutions in related fields.

Conclusion

With a focus on incorporating metrics and dependency analyses into resource allocation, Ting Ting Wen is at the forefront of innovation in the realm of data processing. His contributions not only reflect his technical prowess but also indicate a promising future for advancements in resource allocation techniques, particularly through his endeavors at IBM.

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