Cupertino, CA, United States of America

Ting-Kuan Wu


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2024

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: The Innovations of Ting-Kuan Wu: A Pioneer in Data Health Monitoring

Introduction: Ting-Kuan Wu, based in Cupertino, CA, is a notable inventor recognized for his valuable contributions to data health monitoring technology. With a focus on effectively managing heterogeneous data sets, Wu's innovative approach enhances the efficiency and reliability of data management systems.

Latest Patents: Ting-Kuan Wu holds a patent for "Event Driven Data Health Monitoring," which outlines a sophisticated mechanism for maintaining a data pool that includes various data sets. The patent describes a process of receiving data batches from sources, evaluating their states through a defined data set state diagram, and adapting the data management approach based on current conditions. This invention aims to improve the way data batches are handled, transitioning between states to ensure optimal performance and reliability in data management systems.

Career Highlights: Ting-Kuan Wu is associated with Microsoft Technology Licensing, LLC, where he applies his expertise in technology and innovation. His work involves developing methods that streamline the management of data health, ensuring that organizations can better monitor and respond to changes in their data landscape.

Collaborations: Throughout his career, Wu has collaborated with esteemed colleagues such as Liangzhao Zeng and Ting Yu Cliff Leung. Their joint efforts contribute to advancements in technology that address complex challenges in data management and monitoring.

Conclusion: Ting-Kuan Wu stands out as an influential inventor in the field of data health monitoring. His patent illustrates a commitment to innovation and a deep understanding of the intricacies of data management. As technology continues to evolve, Wu's contributions will undoubtedly play a significant role in shaping the future of data systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…