This inventor holds 1 USPTO granted patent. Top assignee: Asml Netherlands B.v.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations of Inventor Ya Luo
Introduction
Ya Luo is a notable inventor based in Veldhoven, Netherlands. He has made significant contributions to the field of machine learning, particularly in the context of process modeling. His innovative approach combines traditional methods with advanced machine learning techniques to enhance process efficiency.
Latest Patents
Ya Luo holds a patent titled "Methods of determining process models by machine learning." This patent describes methods for determining and utilizing a process model that is a machine learning model. The process model is trained partially based on simulation or a non-machine learning model. The training data may include inputs obtained from a design layout, patterning process measurements, and image measurements. This innovative approach has the potential to revolutionize how process models are developed and utilized in various industries.
Career Highlights
Ya Luo is currently employed at ASML Netherlands B.V., a leading company in the semiconductor industry. His work at ASML focuses on integrating machine learning into process modeling, which is crucial for the development of advanced lithography systems. His expertise in this area has positioned him as a key player in the ongoing evolution of semiconductor manufacturing technologies.
Collaborations
Ya Luo collaborates with talented individuals such as Yu Cao and Jen-Shiang Wang. These collaborations enhance the innovative environment at ASML, fostering the development of cutting-edge technologies in the semiconductor field.
Conclusion
In summary, Ya Luo is an influential inventor whose work in machine learning and process modeling is paving the way for advancements in the semiconductor industry. His contributions, particularly through his patent, demonstrate the potential of integrating machine learning into traditional processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
