This inventor holds 1 USPTO granted patent. Top assignee: Massachusetts Institute of Technology. Active years: 2014.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2014
Title: Exploring the Innovations of Timothy R. Langlois
Introduction
Timothy R. Langlois, hailing from Tyngsboro, Massachusetts, is an inventive mind renowned for his contributions to the field of meteorological technology. With a focus on improving weather forecasting mechanisms, Langlois has successfully secured a patent that enhances the accuracy and reliability of weather imagery.
Latest Patents
Langlois holds a notable patent titled "Method and Apparatus for Generating a Forecast Weather Image." This innovative method describes a systematic approach to creating accurate forecast weather radar images. By utilizing specialized filters to approximate viscous alignment, Langlois's method determines displacement fields that exhibit meaningful structure. The application of Gabor filters in a sequential manner to gradient error images allows for the generation of displacement fields, which can then be applied to existing weather images to create a reliable forecast weather image.
Career Highlights
Timothy R. Langlois is affiliated with the prestigious Massachusetts Institute of Technology. His work at this renowned institution showcases his commitment to advancing meteorological technologies and his dedication to research that ultimately benefits society through better weather prediction capabilities.
Collaborations
Throughout his career, Langlois has collaborated with esteemed colleagues such as Srinivas Ravela and William J. Dupree. These partnerships reflect his engagement in a collaborative research environment, fostering innovation and exploration in meteorological science.
Conclusion
Timothy R. Langlois exemplifies the spirit of innovation with his impactful patent aimed at revolutionizing the way weather forecasts are generated. As a researcher at the Massachusetts Institute of Technology, his contributions continue to influence the field, potentially leading to more accurate weather predictions that can better prepare society for the elements.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
