Company Filing History:
Years Active: 2018-2025
Title: Innovations by Inventor Kyong Min Yeo
Introduction
Kyong Min Yeo is a distinguished inventor based in Scarsdale, NY, recognized for his significant contributions to the field of semiconductor manufacturing and process control. With a total of 12 patents to his name, Yeo has developed innovative solutions that leverage advanced modeling and machine learning techniques to enhance manufacturing efficiency.
Latest Patents
Among his latest patents is the "Predictive Multi-Stage Modelling for Complex Process Control," which focuses on semiconductor device manufacturing processes. This invention employs a method for predictive multi-stage modeling that collects geometrical data from metrology measurements at various manufacturing stages. It uses a multiplicative kernel Gaussian process to predict outcome probabilities based on both the current and prior stages, enabling real-time probabilistic predictions for production wafers.
Another notable patent under his name is the "Manufacturing Process Control with Deep Learning-Based Predictive Model for Hot Metal Temperature of Blast Furnace." This invention includes a hardware processor that generates a predictive model to forecast hot metal temperature, even when measured data is sparse. By utilizing interpolation methods and state variable relationships, Yeo's model improves control actions in blast furnace manufacturing processes.
Career Highlights
Kyong Min Yeo is affiliated with the International Business Machines Corporation (IBM), where he has honed his expertise in semiconductor manufacturing and control systems. His career at IBM has been marked by groundbreaking research and development, particularly in predictive modeling technologies that have applications across various manufacturing environments.
Collaborations
During his tenure at IBM, Yeo has collaborated with prominent colleagues, including Young Min Lee and Jayant R Kalagnanam. These collaborations have fostered a dynamic working environment, contributing to advancements in machine learning and process control within the semiconductor industry.
Conclusion
Kyong Min Yeo is an influential inventor whose patents reflect a deep commitment to innovation in manufacturing technology. His latest contributions at IBM, leveraging machine learning and predictive modeling, signify a transformative approach to complex manufacturing processes, marking him as a key figure in this rapidly evolving field.
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