This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Deere & Company. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Gengchen Mai: Innovator in Geospatial Prediction
Introduction
Gengchen Mai is a notable inventor based in Santa Barbara, CA (US). He has made significant contributions to the field of geospatial measures through his innovative patent. His work focuses on leveraging teleconnections and location embeddings to enhance the prediction of geospatial measures for specific geographic locations.
Latest Patents
Gengchen Mai holds a patent titled "Predicting geospatial measures." This patent describes implementations that utilize teleconnections and location embeddings to predict geospatial measures for a geographic location of interest. The process involves identifying multiple reference geographic locations that are distinct from the location of interest, which influence the geospatial measure. Features are extracted from these reference locations, and a joint embedding is created using the extracted features and a location embedding for the geographic location of interest. A sequence encoder is then applied to this joint embedding to generate encoded data indicative of the predicted geospatial measure. Gengchen Mai has 1 patent to his name.
Career Highlights
Gengchen Mai is currently employed at Deere & Company, where he applies his expertise in geospatial prediction. His work at the company reflects his commitment to advancing technology in this field.
Collaborations
Gengchen has collaborated with notable colleagues, including Grigory Bronevetsky and Charlotte Leroy. Their combined efforts contribute to the innovative projects at Deere & Company.
Conclusion
Gengchen Mai is a pioneering inventor whose work in predicting geospatial measures showcases his innovative spirit and dedication to advancing technology. His contributions are significant in the realm of geospatial analysis and prediction.