Williamstown, MA, United States of America

Michael Mara


Average Co-Inventor Count = 5.5

ph-index = 3

Forward Citations = 17(Granted Patents)


Company Filing History:


Years Active: 2015-2024

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6 patents (USPTO):

Title: Michael Mara: Innovator in Image Processing Technology

Introduction

Michael Mara is a prominent inventor based in Williamstown, MA (US), known for his contributions to image processing technology. With a total of six patents to his name, he has made significant advancements in the field, particularly in the area of lighting calculations for image illumination.

Latest Patents

Among his latest patents is the invention titled "Asynchronous Lighting for Image Illumination." This innovative technology facilitates efficient and effective image processing by utilizing a network that comprises two systems. The first system performs a portion of lighting calculations for an image, while the second system handles the remaining calculations and forwards the results. This method allows for both indirect and direct lighting calculations, enhancing the overall image quality. Another notable patent is "Photon-Based Image Illumination Rendering," which employs a similar network structure to improve image processing efficiency.

Career Highlights

Michael Mara is currently employed at Nvidia Corporation, a leading company in graphics processing technology. His work at Nvidia has allowed him to explore and develop cutting-edge solutions in image processing, contributing to the company's reputation for innovation.

Collaborations

Throughout his career, Michael has collaborated with notable colleagues, including Morgan McGuire and David Patrick Luebke. These collaborations have further enriched his work and have led to advancements in the technologies he has developed.

Conclusion

Michael Mara's contributions to image processing technology through his patents and work at Nvidia Corporation highlight his role as an influential inventor in the field. His innovative approaches to lighting calculations continue to shape the future of image processing.

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