This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Daicel Corporation. 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: Marina Takahashi: Innovator in Predictive Technology
Introduction
Marina Takahashi is a prominent inventor based in Tokyo, Japan. She has made significant contributions to the field of predictive technology, particularly through her innovative patent. Her work focuses on developing methods and apparatuses that enhance the efficiency of production facilities.
Latest Patents
Marina holds a patent for a "Prediction apparatus, prediction method, and program." This invention involves constructing a regression model that reflects the causality between variations in an explanatory variable and a response variable. The prediction apparatus is designed to predict characteristic values of a product by utilizing process data obtained from a production facility. The system includes a process data acquisition unit and a prediction model generation unit, which work together to generate a prediction model based on causality information.
Career Highlights
Marina is currently employed at Daicel Corporation, where she applies her expertise in predictive modeling. Her innovative approach has led to the development of advanced prediction models that improve production processes. With her unique insights and technical skills, she has established herself as a key figure in her field.
Collaborations
Marina collaborates with talented individuals such as Hiroshi Okamoto and Shuji Shinohara. Their combined efforts contribute to the advancement of predictive technologies and enhance the capabilities of their projects.
Conclusion
Marina Takahashi is a trailblazer in the realm of predictive technology, with her patent showcasing her innovative spirit and technical prowess. Her contributions continue to shape the future of production efficiency and predictive modeling.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
