San Diego, CA, United States of America

Mohsen Imani

This inventor holds 7 USPTO granted patents and 3 published patent applications. Top assignees: University of California, University of Louisiana at Lafayette. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mohsen Imani. Retrieved from https://idiyas.com/inventor/mohsen-imani-sqfm8j5p

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

Calculating rank
USPTO Granted Patents = 7 

% Patents Active = 100.0

Average Co-Inventor Count = 1.7

ph-index = 1


Location History:

  • San Diego, CA (US) (2023)
  • Irvine, CA (US) (2024)

Company Filing History:


Years Active: 2023-2026

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7 patents (USPTO):Explore Patents

Title: Mohsen Imani: Innovator in Hyperdimensional Computing

Introduction

Mohsen Imani is a prominent inventor based in San Diego, California. He has made significant contributions to the field of hyperdimensional computing, holding a total of four patents. His work focuses on developing methods and systems that enhance the capabilities of programmable devices in machine learning applications.

Latest Patents

One of his latest patents is titled "Methods and systems configured to specify resources for hyperdimensional computing implemented in programmable devices using a parameterized template for hyperdimensional computing." This patent outlines a method for defining circuit implementations in programmable devices by receiving specifications for hyperdimensional computing applications. It involves determining parameters for a template architecture that includes an HD hypervector encoder and an HD associative search unit, among other components. The generated code specifies resource allocation within the programmable device using pre-defined circuits.

Another notable patent is "Stochastic hyperdimensional arithmetic computing." This innovation presents a neurally-inspired computation model that leverages high-dimensional representations of data, known as hypervectors. The StocHD system proposed in this patent aims to enhance the functionality of hyperdimensional computing by enabling efficient and robust learning over raw data. It mathematically defines stochastic arithmetic over HDC hypervectors, allowing for uniform and highly parallel computation.

Career Highlights

Mohsen Imani is affiliated with the University of California, where he continues to advance research in hyperdimensional computing. His work has garnered attention for its potential applications in various fields, including artificial intelligence and machine learning.

Collaborations

He collaborates with notable colleagues such as Tajana Rosing and Sahand Salamat, contributing to a dynamic research environment focused on innovative computing solutions.

Conclusion

Mohsen Imani's contributions to hyperdimensional computing exemplify the intersection of advanced technology and practical applications. His patents reflect a commitment to enhancing computational efficiency and robustness in 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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