This inventor holds 2 USPTO granted patents. Top assignee: Genesee Valley Innovations, LLC. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: MD Nurul Huda: Innovator in Atmospheric Gas Concentration Mapping
Introduction
MD Nurul Huda is a prominent inventor based in Hillsboro, OR (US). He has made significant contributions to the field of atmospheric science through his innovative work in machine learning and remote sensing. With a total of 2 patents, Huda is recognized for his advancements in generating high-resolution concentration maps for atmospheric gases.
Latest Patents
Huda's latest patents focus on the development of a geography-informed machine learning (GIML) model. This model is trained on remote sensing datasets that include atmospheric gas concentration data, multispectral data, and land use classifications. The GIML model is designed to generate predicted atmospheric gas concentration values with a spatial resolution that surpasses that of the input datasets. His work aims to enhance the accuracy of atmospheric gas concentration mapping, which is crucial for environmental monitoring and research.
Career Highlights
MD Nurul Huda is currently associated with Genesee Valley Innovations, LLC, where he applies his expertise in machine learning to tackle complex environmental challenges. His innovative approaches have positioned him as a key figure in the intersection of technology and atmospheric science.
Collaborations
Huda collaborates with talented individuals such as Kalaivani Ramea Kubendran and David Schwartz. These partnerships enhance the scope and impact of his research, fostering a collaborative environment for innovation.
Conclusion
MD Nurul Huda's contributions to atmospheric gas concentration mapping through machine learning exemplify the potential of innovation in addressing environmental issues. His work not only advances scientific understanding but also paves the way for future research in this critical field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile