Austin, TX, United States of America

Kevin Chee


Average Co-Inventor Count = 4.1

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2017-2019

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3 patents (USPTO):Explore Patents

Title: Kevin Chee: Innovator in Data Retrieval Technologies

Introduction

Kevin Chee is a notable inventor based in Austin, TX, who has made significant contributions to the field of data retrieval technologies. With a total of 3 patents to his name, Chee has focused on developing methods that enhance the efficiency and effectiveness of data management systems. His work is particularly relevant in today's data-driven world, where the ability to retrieve and manage information is crucial for businesses and organizations.

Latest Patents

One of Kevin Chee's latest patents involves a computer-implemented method for incrementally retrieving data for objects to provide a desired level of detail. This innovative approach allows users to define data harvesting criteria through a user interface, which adjusts a subset of data and metadata in an indexed repository. The method ensures that the data retrieval process is tailored to the user's specific needs, enhancing the overall user experience and efficiency.

Career Highlights

Chee is currently employed at International Business Machines Corporation (IBM), where he continues to develop cutting-edge technologies in data management. His work at IBM has positioned him as a key player in the advancement of data retrieval systems, contributing to the company's reputation as a leader in technology innovation.

Collaborations

Throughout his career, Kevin Chee has collaborated with esteemed colleagues such as Thomas P Bishop and Jozsef Szalay. These partnerships have allowed him to leverage diverse expertise and insights, further enriching his contributions to the field.

Conclusion

Kevin Chee's innovative work in data retrieval technologies exemplifies the impact of dedicated inventors in shaping the future of information management. His patents and ongoing contributions at IBM highlight the importance of innovation in addressing the challenges of data accessibility and usability.

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