Yee Hui Lee

Title: Innovations of Yee Hui Lee in Random Number Generation

Introduction

Yee Hui Lee is an accomplished inventor based in Pulau Pinang, Malaysia. She has made significant contributions to the field of random number generation, particularly in the context of field-programmable gate arrays (FPGAs). Her innovative work has led to the development of a unique system that enhances the robustness and efficiency of true random number generators.

Latest Patents

Yee Hui Lee holds a patent for a "System, method and apparatus for race-condition true random number generator." This invention relates to systems, methods, and devices designed to provide a race-condition true random number generator (TRNG) for soft intellectual property in FPGAs. The patent describes an exemplary embodiment where a pair of long adder chains are raced against one another to complete a full cycle. Variances in the silicon result in different chains winning each race at different times, thereby producing entropy. A calibration circuit is utilized to set up the adder chains in an appropriate initial state to maximize the entropy produced. This structure has proven to be robust against layout changes, and the use of two adder-chain pairs reduces interference from other structures. The disclosed embodiments simplify the integration of a robust TRNG into FPGA designs, making them FIPS certifiable.

Career Highlights

Yee Hui Lee is currently employed at Intel Corporation, where she continues to innovate in the field of technology. Her work focuses on enhancing the capabilities of FPGAs, particularly in the area of secure random number generation.

Collaborations

Throughout her career, Yee Hui Lee has collaborated with notable colleagues, including Boon Hong Oh and David Johnston. These collaborations have contributed to the advancement of her research and the successful implementation of her inventions.

Conclusion

Yee Hui Lee's contributions to the field of random number generation exemplify her innovative spirit and dedication to advancing technology. Her patent for a race-condition true random number generator showcases her ability to solve complex problems in the realm of FPGAs. Through her work at Intel Corporation, she continues to push the boundaries of what is possible in the field of secure computing.