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For the Inventor, By the Inventor

Espoo, Finland

Hamed Rezazadegan Tavakoli

USPTO Granted Patents = 17 

Average Co-Inventor Count = 4.6

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:

goldMedal17 out of 5,655 
 
Nokia Technologies Oy
 patents

Years Active: 2022-2025

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17 patents (USPTO):Explore Patents
1. 12488232 - High-level syntax for priority signaling in neural network compression (2025-12-02),
2. 12425042 - Method, an apparatus and a computer program product for neural network compression (2025-09-23),
3. 12388999 - Method, an apparatus and a computer program product for video encoding and video decoding (2025-08-12),
4. 12382061 - Predictive and residual coding of sparse signals for weight update compression (2025-08-05),
5. 12363310 - Guided probability model for compressed representation of neural networks (2025-07-15),
6. 12323607 - Apparatus, method and computer program product for optimizing parameters of a compressed representation of a neural network (2025-06-03),
7. 12321870 - Apparatus method and computer program product for probability model overfitting (2025-06-03),
8. 12242969 - Graph diffusion for structured pruning of neural networks (2025-03-04),
9. 12219204 - Carriage and signaling of neural network representations (2025-02-04),
10. 12170779 - Training a data coding system comprising a feature extractor neural network (2024-12-17),
11. 12113974 - High-level syntax for signaling neural networks within a media bitstream (2024-10-08),
12. 12036036 - High-level syntax for signaling neural networks within a media bitstream (2024-07-16),
13. 12022129 - High level syntax and carriage for compressed representation of neural networks (2024-06-25),
14. 11575938 - Cascaded prediction-transform approach for mixed machine-human targeted video coding (2023-02-07),
15. 11558628 - Caching and clearing mechanism for deep convolutional neural networks (2023-01-17),

Title: Hamed Rezazadegan Tavakoli: Innovator in Neural Network and Video Encoding Technologies

Introduction

Hamed Rezazadegan Tavakoli is a prominent inventor based in Espoo, Finland. He has made significant contributions to the fields of neural network compression and video encoding, holding a total of 16 patents. His work is instrumental in advancing technology in these areas, particularly through his innovative methods and apparatuses.

Latest Patents

Tavakoli's latest patents include a method, an apparatus, and a computer program product for neural network compression. This invention relates to a method for encoding two or more tensors, which involves processing tensors to ensure they have the same dimensions, identifying swappable axes, reshaping tensors, concatenating them, and compressing the resulting tensor. Additionally, he has developed a method for video encoding and decoding. This method includes receiving visual data, converting it into a latent representation, quantizing it, and processing the channels according to a predefined dependency mode. The encoding process generates a bitstream that efficiently represents the visual data.

Career Highlights

Hamed Rezazadegan Tavakoli works at Nokia Technologies Oy, where he applies his expertise in developing cutting-edge technologies. His role at Nokia allows him to collaborate with other talented professionals in the field, contributing to the company's innovative projects.

Collaborations

Some of his notable coworkers include Emre Baris Aksu and Miska Matias Hannuksela. Their collaboration fosters a creative environment that enhances the development of advanced technologies.

Conclusion

Hamed Rezazadegan Tavakoli is a key figure in the innovation of neural network and video encoding technologies. His contributions through patents and collaboration with industry professionals continue to shape the future of these fields.

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