Yi-Min Jiang

Title: Innovations of Yi-Min Jiang

Introduction

Yi-Min Jiang is a prominent inventor based in San Jose, California. He has made significant contributions to the field of circuit design and power-and-ground routing. With a total of 12 patents to his name, Jiang's work showcases the intersection of machine learning and electronic design automation.

Latest Patents

One of Yi-Min Jiang's latest patents is focused on placing hard macros using machine learning predictions trained on different circuit designs. This innovation involves estimating quality of results (QoR) metrics for various candidate macro placements by applying machine learning models. The models are trained using completed macro placements from other circuit designs, allowing for a more accurate assessment of candidate placements. Another notable patent addresses phantom object reporting in a power-and-ground router. This method generates a structure for a power-and-ground network, identifies design rule violations, and produces reports on these violations while generating phantom objects based on the changes made.

Career Highlights

Yi-Min Jiang is currently employed at Synopsys, Inc., a leading company in electronic design automation. His work at Synopsys has allowed him to push the boundaries of innovation in circuit design and routing technologies. Jiang's expertise in machine learning applications has positioned him as a key figure in advancing the efficiency and effectiveness of electronic designs.

Collaborations

Throughout his career, Yi-Min Jiang has collaborated with notable colleagues, including Sung-Hoon Kwon and Philip Hui-Yuh Tai. These collaborations have fostered a creative environment that encourages the development of groundbreaking technologies in the field.

Conclusion

Yi-Min Jiang's contributions to the field of circuit design and power-and-ground routing exemplify the power of innovation in technology. His patents reflect a commitment to enhancing electronic design through machine learning and automation.