logo

For the Inventor, By the Inventor

Espoo, Finland

Hamed Rezazadegan Tavakoli

This inventor holds 26 USPTO granted patents and 22 published patent applications, primarily in Neural Network Compression. Top assignee: Nokia Technologies Oy. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hamed Rezazadegan Tavakoli. Retrieved from https://idiyas.com/inventor/hamed-rezazadegan-tavakoli

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

Calculating rank
USPTO Granted Patents = 26 

% Patents Active = 73.1

Average Co-Inventor Count = 4.8

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:

goldMedal26 out of 6,609 
 
Nokia Technologies Oy
 patents

Years Active: 2022-2026

Loading Chart...
Areas of Expertise:
Neural Networks
Video Coding
Compression Techniques
Predictive Coding
Machine Vision
Data Coding
Weight Update
Feature Extraction
Syntax Signaling
Residual Coding
Parameter Optimization
Graph Diffusion
26 patents (USPTO):Explore Patents
1. 12769981 - Iterative overfitting and freezing of decoder-side neural networks (2026-10-20),
2. 12744904 - Syntax and semantics for weight update compression of neural networks (2026-09-22),
3. 12740744 - High-level syntax for signaling neural networks within a media bitstream (2026-09-22),
4. 12666046 - Method, apparatus and computer program product for end-to-end learned predictive coding of media frames (2026-06-23),
5. 12666021 - Determining regions of interest using learned image codec for machines (2026-06-23),
6. 12627811 - Method, an apparatus and a computer program product for video coding (2026-05-12),
7. 12621519 - Carriage and signaling of neural network representations (2026-05-05),
8. 12542931 - Performance improvements of machine vision tasks via learned neural network based filter (2026-02-03),
9. 12536711 - Decoder-side fine-tuning of neural networks for video coding for machines (2026-01-27),
10. 12488232 - High-level syntax for priority signaling in neural network compression (2025-12-02),
11. 12425042 - Method, an apparatus and a computer program product for neural network compression (2025-09-23),
12. 12388999 - Method, an apparatus and a computer program product for video encoding and video decoding (2025-08-12),
13. 12382061 - Predictive and residual coding of sparse signals for weight update compression (2025-08-05),
14. 12363310 - Guided probability model for compressed representation of neural networks (2025-07-15),
15. 12323607 - Apparatus, method and computer program product for optimizing parameters of a compressed representation of a neural network (2025-06-03),

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.

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]
Loading…