San Jose, CA, United States of America

Mohammad Babaeizadeh

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Google Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mohammad Babaeizadeh. Retrieved from https://idiyas.com/inventor/mohammad-babaeizadeh-08q4k9bw

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

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.0


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Innovations of Mohammad Babaeizadeh

Introduction

Mohammad Babaeizadeh is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of video prediction technology. His innovative work focuses on enhancing the performance and efficiency of video processing.

Latest Patents

Babaeizadeh holds a patent for "Pixel-level video prediction with improved performance and efficiency." This patent describes a machine-learned video prediction model that processes previous video frames to generate predicted subsequent frames. The model utilizes a convolutional variational auto encoder, which includes an encoder portion with encoding cells and a decoder portion with decoding cells.

Career Highlights

Currently, Mohammad Babaeizadeh is employed at Google Inc., where he continues to develop cutting-edge technologies. His work at Google has allowed him to explore advanced machine learning techniques and their applications in video processing.

Collaborations

One of his notable coworkers is Dumitru Erhan, with whom he collaborates on various projects related to video prediction and machine learning.

Conclusion

Mohammad Babaeizadeh's contributions to video prediction technology exemplify the innovative spirit of modern inventors. His work not only enhances video processing but also paves the way for future advancements in the field.

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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