Montreal, Canada

Mehdi Rezagholizadeh

USPTO Granted Patents = 9 

 

Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 17(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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9 patents (USPTO):Explore Patents

Title: Innovations of Mehdi Rezagholizadeh

Introduction

Mehdi Rezagholizadeh is a prominent inventor based in Montreal, Canada. He has made significant contributions to the field of neural networks and matrix compression. With a total of eight patents to his name, his work focuses on enhancing the efficiency of computational processes in artificial intelligence.

Latest Patents

Among his latest patents are methods and systems for compressing a trained neural network. These innovations aim to improve the efficiency of computations performed by a compressed neural network. The process involves obtaining data samples from a training dataset and inputting them into a trained neural network to generate predictions. Additionally, he has developed methods for product quantization-based compression of a matrix. This involves partitioning a matrix into submatrices, clustering sub-vectors, and storing centroids and variances for reconstruction.

Career Highlights

Mehdi Rezagholizadeh currently works at Huawei Technologies Co., Limited. His role at the company allows him to apply his expertise in neural networks and matrix compression to real-world applications. His innovative approaches have the potential to significantly impact the efficiency of AI systems.

Collaborations

He collaborates with talented individuals such as Md Akmal Haidar and Alan Do-Omri. These partnerships enhance the scope and depth of his research and development efforts.

Conclusion

Mehdi Rezagholizadeh is a key figure in the field of artificial intelligence, with a focus on neural network and matrix compression technologies. His contributions are paving the way for more efficient computational methods in the industry.

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