Jia-Min Ren

Title: Innovations of Jia-Min Ren

Introduction

Jia-Min Ren is a notable inventor based in Hsinchu, Taiwan. He has made significant contributions to the field of predictive modeling and data analysis. With a total of 3 patents to his name, Ren's work focuses on enhancing the accuracy and efficiency of predictive systems.

Latest Patents

One of his latest patents is an "Ensemble learning predicting method and system." This method involves establishing multiple base predictors from various training data. It initializes sample weights and a processing set, iteratively refining predictor weighting functions to improve prediction results. Another significant patent is the "System and method for predicting remaining lifetime of a component of equipment." This system utilizes both current and historical data to predict the remaining lifetime of equipment components, integrating confidence measures to enhance prediction reliability.

Career Highlights

Jia-Min Ren is currently affiliated with the Industrial Technology Research Institute, where he applies his expertise in predictive analytics. His innovative approaches have positioned him as a key figure in advancing technology in his field.

Collaborations

Ren has collaborated with notable colleagues, including Chuang-Hua Chueh and Po-Yu Huang, contributing to various research projects and innovations.

Conclusion

Jia-Min Ren's contributions to predictive modeling and data analysis demonstrate his commitment to innovation and technology advancement. His patents reflect a deep understanding of complex systems and a drive to improve predictive accuracy in various applications.