This inventor holds 1 USPTO granted patent. Top assignee: National Taiwan University. Active years: 2017.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2017
Title: Wei-Chuan Hsieh: Innovator in Tropical Cyclone Route Comparison
Introduction
Wei-Chuan Hsieh is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of meteorology through his innovative patent. His work focuses on improving the understanding and prediction of tropical cyclone routes, which is crucial for disaster preparedness and response.
Latest Patents
Wei-Chuan Hsieh holds a patent titled "Device and method for comparison of multiple tropical cyclone routes." This invention relates to a method that can be implemented through a mobile device equipped with an application processor and a touch-sensed display. The method is designed to determine multiple reference cyclone routes relevant to a concerned cyclone route by comparing historical cyclone routes with an estimated cyclone route. This comparison involves analyzing multiple cyclone center coordinates, enhancing the accuracy of cyclone predictions.
Career Highlights
Wei-Chuan Hsieh is affiliated with National Taiwan University, where he contributes to research and development in meteorological technologies. His work is instrumental in advancing the methodologies used for cyclone route analysis, which can significantly impact public safety and preparedness.
Collaborations
Wei-Chuan Hsieh has collaborated with esteemed colleagues such as Yih-Chi Tan and Jihn-Sung Lai. Their combined expertise fosters innovation and enhances the quality of research conducted at their institution.
Conclusion
Wei-Chuan Hsieh's contributions to the field of tropical cyclone route comparison exemplify the importance of innovation in meteorology. His patent not only showcases his inventive spirit but also serves as a valuable tool for improving cyclone prediction methods.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
