Years Active: 2024
Title: Innovations by Mayan Moudgill
Introduction
Mayan Moudgill is an accomplished inventor based in Chappaqua, NY (US). He has made significant contributions to the field of technology, particularly in the development of hardware-efficient methods for calculating mathematical functions. With a total of two patents to his name, Moudgill's work showcases his expertise and innovative thinking.
Latest Patents
Moudgill's latest patents include a "Device and method for hardware-efficient adaptive calculation of floating-point trigonometric functions using coordinate rotate digital computer (CORDIC)." This invention features a system and an accelerator circuit that includes a register file with instruction registers for storing trigonometric calculation instructions. The circuit is designed to evaluate trigonometric functions efficiently, utilizing a determination circuit to identify the function and input values. Additionally, he holds a patent for a "Device and method for calculating elementary functions using successive cumulative rotation circuit." This system incorporates a register file and a successive cumulative rotation circuit that performs evaluations of elementary functions based on input values.
Career Highlights
Mayan Moudgill's career is marked by his dedication to advancing computational methods. His innovative patents reflect a deep understanding of both hardware and software integration, allowing for more efficient calculations in various applications. His work has the potential to impact industries that rely on precise mathematical computations.
Collaborations
Moudgill has collaborated with notable colleagues, including Pablo Balzola and Murugappan Senthivelan. These partnerships have contributed to the development of his innovative technologies and have fostered a collaborative environment for advancing research in computational methods.
Conclusion
Mayan Moudgill is a prominent inventor whose work in hardware-efficient calculations has made a significant impact in the field of technology. His patents demonstrate a commitment to innovation and efficiency, paving the way for future advancements in computational methods.