Zurich, Switzerland

Noha Radwan

This inventor holds 4 USPTO granted patents and 1 published patent application. Top assignee: Google Inc.. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Noha Radwan. Retrieved from https://idiyas.com/inventor/noha-radwan

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 4 

% Patents Active = 75.0

Average Co-Inventor Count = 6.6

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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4 patents (USPTO):Explore Patents

Title: Noha Radwan: Innovator in Neural Radiance Field Models

Introduction

Noha Radwan is a prominent inventor based in Zurich, Switzerland. He has made significant contributions to the field of machine learning and computer vision, particularly in the development of neural radiance field models. With a total of 4 patents to his name, Radwan is recognized for his innovative approaches to synthesizing novel views from sparse data.

Latest Patents

Radwan's latest patents include groundbreaking work in the area of neural radiance fields. One of his notable inventions is titled "Robustifying NeRF model novel view synthesis to sparse data." This patent outlines systems and methods for training a neural radiance field model using image patches for ground truth training. The process involves generating patch renderings with a neural radiance field model, comparing these renderings to ground truth patches, and adjusting parameters based on the comparison. Additionally, the patent discusses the use of a flow model to mitigate artifact generation.

Another significant patent is "Geometry-free neural scene representations through novel-view synthesis." This invention provides machine learning models that generate geometry-free neural scene representations through efficient object-centric novel-view synthesis. The framework utilizes an encoder model to process RGB images and produce a fully latent scene representation, which can then be passed to a decoder model for image synthesis. This innovative approach allows for the extraction of 3D information from a small set of images, enabling the rendering of novel views with correct projections and semantics.

Career Highlights

Noha Radwan is currently employed at Google Inc., where he continues to push the boundaries of technology and innovation. His work has garnered attention in the tech community, and he is recognized for his expertise in neural networks and machine learning.

Collaborations

Radwan has collaborated with notable colleagues, including Seyed Mohammad Mehdi Sajjadi and Jonathan Tilton Barron. These collaborations have further enriched his research and development efforts in the field.

Conclusion

Noha Radwan is a distinguished inventor whose work in neural radiance field models has the potential to revolutionize the way we synthesize images and understand scenes. His innovative patents and contributions to Google Inc. highlight his role as a leading figure in the field of machine learning.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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