This inventor holds 1 USPTO granted patent. Top assignee: Applied Materials, Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations of Li Ming Tan in Semiconductor Manufacturing
Introduction
Li Ming Tan is a prominent inventor based in Singapore, known for his contributions to the field of semiconductor manufacturing. He has developed innovative solutions that leverage machine learning to enhance manufacturing processes. His work is particularly significant in the context of the rapidly evolving semiconductor industry.
Latest Patents
Li Ming Tan holds a patent for a machine learning model designed for semiconductor manufacturing processes. The patent describes methods and systems for training and deploying a machine learning predictive model that can be utilized in semiconductor manufacturing. Specifically, it outlines the training of predictive models using design data, process parameters, gas flow configurations from a pixelated showerhead, temperature profiles across an electrostatic chuck, and measured uniformity profiles of processed wafers. The patent also details how the machine learning predictive model can be deployed to make real-time adjustments to the manufacturing process, thereby improving efficiency and product quality. He has 1 patent to his name.
Career Highlights
Li Ming Tan is currently employed at Applied Materials, Inc., a leading company in the semiconductor manufacturing sector. His role involves applying advanced machine learning techniques to optimize manufacturing processes, which is crucial for maintaining competitiveness in the industry.
Collaborations
Throughout his career, Li Ming Tan has collaborated with notable colleagues, including Zhiqiang Huang and Joanna Kejun Loh. These collaborations have contributed to the advancement of innovative solutions in semiconductor manufacturing.
Conclusion
Li Ming Tan's work exemplifies the intersection of machine learning and semiconductor manufacturing. His innovative patent and contributions to Applied Materials, Inc. highlight the importance of technology in enhancing manufacturing processes. His efforts are paving the way for future advancements in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
