Hillsborough, CA, United States of America

Sau-Ching Wong


Average Co-Inventor Count = 1.7

ph-index = 14

Forward Citations = 1,762(Granted Patents)


Company Filing History:


Years Active: 1986-2003

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14 patents (USPTO):Explore Patents

Title: Innovations of Sau-Ching Wong in Memory Technology

Introduction

Sau-Ching Wong is a prominent inventor known for her significant contributions to memory technology. Based in Hillsborough, California, she holds 14 patents that showcase her innovative approach to enhancing memory systems. Her work focuses on maximizing data capacity and improving the efficiency of memory arrays.

Latest Patents

One of her latest patents is a multi-bit-per-cell memory system that allows the number of bits per cell to be set based on the testing of memory units. This manufacturing method enables memory arrays to be optimized for performance, ensuring that those capable of accurately writing, storing, and reading more bits per cell are configured to do so. Conversely, arrays that do not meet performance expectations are adjusted to store fewer bits, thereby salvaging the overall memory device. Another notable patent involves a multi-bit-cell non-volatile memory that similarly maximizes data capacity by adjusting the number of bits stored per cell for each memory array based on performance testing.

Career Highlights

Throughout her career, Sau-Ching Wong has worked with leading companies in the technology sector, including Altera Corporation and SanDisk Corporation. Her expertise in memory technology has positioned her as a key figure in the development of advanced memory solutions.

Collaborations

Sau-Ching has collaborated with notable professionals in her field, including Robert F. Hartmann and Hock-Chuen So. These collaborations have contributed to her innovative projects and advancements in memory technology.

Conclusion

Sau-Ching Wong's contributions to memory technology through her patents and career achievements highlight her role as a leading inventor in the field. Her innovative approaches continue to influence the development of efficient memory systems.

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