Hamed Pezeshki

This inventor holds 171 USPTO granted patents and 116 published patent applications and 36 EPO patents, primarily in Wireless Communications (CPC class H04W72-0453). Top assignee: Qualcomm Incorporated. Active years: 2021-2026.

USPTO Granted Patents = 171 (Patent Applications = 116)

% Patents Active = 97.7

EPO Patents = 36 (Patent Applications = 182)

Average Co-Inventor Count = 4.2

ph-index = 2

Forward Citations = 60(Granted Patents)

Forward Citations (Not Self Cited) = 26(Dec 10, 2025)

Inventors with similar research interests:

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Company Filing History:

169 out of 44,749

Qualcomm Incorporated

patents

where one patent can have more than one assignee

Years Active: 2021-2026

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Areas of Expertise:

Beamforming

Machine Learning

Channel Estimation

Interference Measurement

Federated Learning

Wireless Signaling

Beam Failure Detection

Cross Carrier Scheduling

User Equipment Indication

Power Control

Reference Signals

Dynamic Channel Measurement

171 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12739734 - Techniques for surrounding information indication (2026-09-15),

2. 12739002 - Subband beam reporting (2026-09-15),

3. 12719763 - Machine learning for beam prediction (2026-08-25),

4. 12689426 - Efficient signaling of beam shape information (2026-07-21),

5. 12659002 - User equipment indication of assistance information in blockage prediction report (2026-06-16),

6. 12647808 - Channel state feedback with dictionary learning (2026-06-02),

7. 12627341 - Network-assisted beamforming (2026-05-12),

8. 12615616 - Adaptation of artificial intelligence/machine learning models based on site-specific data (2026-04-28),

9. 12562939 - Beam selection using oversampled beamforming codebooks and channel estimates (2026-02-24),

10. 12561571 - Channel feature extraction via model-based neural networks (2026-02-24),

11. 12550185 - Conflict avoidance between random access messages and other transmissions (2026-02-10),

12. 12542697 - Machine learning for wireless channel estimation (2026-02-03),

13. 12532340 - Interference measurement per subband per Tx beam for combination of FDM and MU-MIMO (2026-01-20),

14. 12532202 - Switching reference signals for beam or link failure detection (2026-01-20),

15. 12464317 - User equipment indoor/outdoor indication (2025-11-04),

Title: Unveiling the Genius of Hamed Pezeshki: Pioneering Innovations in Neural Networks and UE Communications

Introduction:

Hamed Pezeshki, a distinguished inventor based in San Diego, CA, has made a significant impact in the fields of neural networks and UE communications. With an impressive portfolio of 94 patents, his groundbreaking work at Qualcomm Incorporated has reshaped the landscape of modern technologies.

Latest Patents:

Among his latest patents is the "Neural network model sharing with zone identifier" innovation. This patent enables a base station to share trained neural networks between UEs, enhancing the efficiency of network training procedures. Additionally, the "UE feedback of non-preferred time-frequency resources" patent revolutionizes UE communications by allowing UEs to provide feedback on time-frequency resources to avoid, optimizing communication processes.

Career Highlights:

Throughout his career, Hamed Pezeshki has demonstrated unparalleled expertise in advancing neural network technologies and UE communications. His patents reflect a deep understanding of cutting-edge concepts and a relentless pursuit of innovation in the tech industry.

Collaborations:

Collaborating with esteemed colleagues such as Tao Luo and Yan Zhou, Hamed Pezeshki has been able to leverage collective expertise to drive forward-thinking solutions in his field. Together, they have pioneered inventions that have set new standards in the industry.

Conclusion:

In conclusion, Hamed Pezeshki stands as a leading figure in the realm of innovations, with a remarkable track record of patents that have transformed the way we approach neural networks and UE communications. His contributions continue to inspire and shape the future of technology, solidifying his legacy as a visionary inventor in the digital age.