Taipei, Taiwan

Ming-Chih Shih


Average Co-Inventor Count = 11.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):

Title: The Innovative Contributions of Ming-Chih Shih in Semiconductor Technology

Introduction

Ming-Chih Shih, an accomplished inventor based in Taipei, Taiwan, has made significant strides in the field of semiconductor technology. With a focus on machine learning applications, his work promises to enhance the efficiency of semiconductor manufacturing processes.

Latest Patents

Ming-Chih Shih holds a noteworthy patent titled "Methods and systems for predicting silicon density for a metal layer of semiconductor chip via machine learning." This invention addresses the complexities involved in the specification of semiconductor chips, particularly concerning the metal layers. By leveraging a trained machine learning model, Shih's methodology allows for the prediction of silicon density based on generated images and drawn densities, streamlining the manufacturing process of semiconductor chips.

Career Highlights

Currently, Ming-Chih Shih is associated with Ansys, Inc., where he applies his expertise in semiconductor technology. His contributions to the field have positioned him as a valuable asset in the industry, providing innovative solutions that contribute to the advancements in technology.

Collaborations

Throughout his career, Ming-Chih Shih has collaborated with talented individuals such as Wen-Tze Chuang and Norman H Chang. These partnerships have further solidified the impact of his work and fostered a collaborative environment for innovation within the semiconductor technology landscape.

Conclusion

Ming-Chih Shih's inventive spirit and dedication to enhancing semiconductor manufacturing processes through machine learning showcase his remarkable contributions to the field. As technology continues to evolve, the significance of his inventions is likely to resonate well into the future, impacting both the industry and academia.

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