This inventor holds 5 USPTO granted patents. Top assignee: American Airlines, Inc.. Active years: 2022-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2025
Title: Innovations of Inventor Ou Bai
Introduction
Ou Bai is an accomplished inventor based in Euless, Texas, known for his significant contributions to the field of technology and engineering. He holds a total of five patents, showcasing his innovative spirit and expertise in developing advanced systems and methodologies.
Latest Patents
Among his latest patents is a "Deep learning-based demand forecasting system." This invention involves a method of training a neural network to approximate forecasting errors in a passenger-demand forecasting model. The process includes calculating historical passenger demand forecasts, applying a dropout model to create a training sample, and training the neural network to improve accuracy in future demand forecasts. Another notable patent is the "Method and system of predicting maintenance events using machine learning model(s) and a training data set." This system utilizes a network of physical sensors to monitor aircraft engine performance, allowing for efficient tracking and maintenance of engines based on real-time data.
Career Highlights
Ou Bai is currently employed at American Airlines, Inc., where he applies his innovative ideas to enhance operational efficiency and safety in aviation. His work focuses on integrating advanced technologies to improve passenger experience and streamline maintenance processes.
Collaborations
He collaborates with talented colleagues, including Ning Xu and Jose Antonio Ramirez-Hernandez, to drive innovation and develop cutting-edge solutions in the aviation industry.
Conclusion
Ou Bai's contributions to technology and engineering, particularly in the aviation sector, highlight his role as a leading inventor. His patents reflect a commitment to advancing industry standards and improving operational efficiencies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
