Singapore, Singapore

Yee Chen Lim


Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2023

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2 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Yee Chen Lim

Introduction

Yee Chen Lim is a prominent inventor based in Singapore, known for her significant contributions to data management technologies. With a total of two patents to her name, she has made strides in improving the efficiency of data indexing systems. Her work is particularly relevant in today's data-driven world, where effective data management is crucial for various applications.

Latest Patents

Yee Chen Lim's latest patents include "Systems and methods for multiplexing data of an underlying index" and "Systems and methods for improving indexer performance by multiplexing data of an underlying index." The first patent discloses systems and methods for multiplexing data, where an index handler searches for a data file across multiple data buckets. It identifies the appropriate data bucket and enables access to the data file. The second patent focuses on enhancing indexer performance by generating multiple slots and data buckets, allowing for efficient access to data files requested by software applications.

Career Highlights

Yee Chen Lim is currently employed at Acronis International GmbH, where she applies her expertise in data management and indexing systems. Her innovative approaches have contributed to the development of advanced technologies that streamline data access and improve overall performance.

Collaborations

Yee Chen Lim has collaborated with notable colleagues, including Alexander Andreev and Sergey Onuchin. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge solutions in the field of data management.

Conclusion

Yee Chen Lim's work exemplifies the impact of innovation in data management technologies. Her patents reflect a commitment to enhancing the efficiency of data indexing systems, making her a valuable contributor to the field.

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