Ying Shiun Li

Title: The Innovative Contributions of Ying Shiun Li in Semiconductor Technology

Introduction: Ying Shiun Li, based in Pleasanton, California, is a distinguished inventor in the field of semiconductor technology. His innovative approach leverages machine learning to enhance the manufacturing processes of semiconductor chips. With a noteworthy patent to his name, Li exemplifies the commitment to advancing technology through creative solutions.

Latest Patents: Ying Shiun Li holds a patent titled "Methods and systems for predicting silicon density for a metal layer of semi-conductor chip via machine learning." This invention addresses a critical aspect of semiconductor manufacturing. The patented method involves receiving a specification for a semiconductor chip that includes a set of photomasks related to the chip's metal layer. It identifies multiple portions of the metal layer area and generates respective images for each portion based on the photomasks. The process calculates a drawn density of metal wires and employs a trained machine learning model to predict silicon density for each area portion. Ultimately, it computes an overall silicon density by averaging the predicted values across the multiple portions, thereby improving manufacturing accuracy and efficiency.

Career Highlights: Ying Shiun Li is currently employed at Ansys, Inc., a company recognized for its innovation in engineering simulation and analysis. His role as an inventor reflects his dedication to pushing the boundaries of technology in semiconductor design and fabrication processes.

Collaborations: Throughout his career, Li has collaborated with esteemed colleagues, including Wen-Tze Chuang and Norman H. Chang. These partnerships highlight the collaborative spirit evident in the tech industry, fostering the development of groundbreaking solutions.

Conclusion: Ying Shiun Li's contributions to semiconductor technology through his patent demonstrate the profound impact of innovation on the industry. His ability to integrate machine learning with traditional semiconductor manufacturing processes paves the way for advancements that can lead to more efficient and reliable semiconductor devices. As technology continues to evolve, inventors like Li will be at the forefront of shaping the future of the industry.