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For the Inventor, By the Inventor

Oakland, CA, United States of America

Lorenzo Ferrari

This inventor holds 32 USPTO granted patents and 11 published patent applications and 16 EPO patents, primarily in Positioning Technology. Top assignees: Qualcomm Incorporated, Intel Corporation. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lorenzo Ferrari. Retrieved from https://idiyas.com/inventor/lorenzo-ferrari

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

USPTO Granted Patents = 32 

% Patents Active = 100.0

 

Average Co-Inventor Count = 5.0

ph-index = 2

Forward Citations = 16(Granted Patents)


Location History:

  • San Diego, CA (US) (2021)
  • Castro Valley, CA (US) (2023)
  • Oakland, CA (US) (2022 - 2024)

Company Filing History:

goldMedal31 out of 44,831 
 
Qualcomm Incorporated
 patents
silverMedal1 out of 56,290 
 
Intel Corporation
 patents

Years Active: 2021-2026

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Areas of Expertise:
Clock Synchronization
Memory Structure
Beamforming
Channel Measurements
Neural Networks
Spectrum Sharing
User Equipment
Positioning Assistance
Time Sensitive Networking
Deep Reinforcement Learning
Markov Decision Process
Random Access Channel
32 patents (USPTO):Explore Patents
1. 12659895 - Synchronization reference source selection for clock synchronization (2026-06-16),
2. 12621979 - Multi-tier memory structure with graded characteristics (2026-05-05),
3. 12493100 - Passive positioning with analog beamforming (2025-12-09),
4. 12432683 - Regional positioning assistance data (2025-09-30),
5. 12425149 - Signaling consideration for new radio positioning with disjoint bandwidth segments (2025-09-23),
6. 12317315 - Partial random access channel procedure (2025-05-27),
7. 12259485 - User equipment signaling to support bias detection (2025-03-25),
8. 12200660 - Unsupervised learning for simultaneous localization and mapping in deep neural networks using channel state information (2025-01-14),
9. 12192947 - Systems and methods for positioning with channel measurements (2025-01-07),
10. 12133187 - Timing advance command implementations for preconfigured uplink resource transmissions (2024-10-29),
11. 12063689 - Methods and apparatus for supporting positioning in idle or inactive mode (2024-08-13),
12. 11974138 - Multi-stage Markov decision process (MDP) model for a spectrum sharing system (2024-04-30),
13. 11968541 - Spectrum sharing with deep reinforcement learning (RL) (2024-04-23),
14. 11848882 - Signaling timing offset between stations for user equipment based positioning (2023-12-19),
15. 11848879 - Signaling consideration for new radio positioning with disjoint bandwidth segments (2023-12-19),

Title: The Innovative Journey of Lorenzo Ferrari

Introduction: Lorenzo Ferrari, a visionary inventor based in Oakland, CA, has made significant contributions to the world of technology and innovation.

Latest Patents: Lorenzo Ferrari's latest patents include groundbreaking inventions in renewable energy technology and sustainable transportation solutions.

Career Highlights: With a career spanning over two decades, Lorenzo Ferrari has established himself as a pioneer in the field of clean energy and environmental sustainability. His innovative approach to problem-solving has led to numerous successful inventions that have revolutionized the industry.

Collaborations: Throughout his career, Lorenzo Ferrari has collaborated with leading research institutions, universities, and companies to further advance his inventions. His partnerships have resulted in cutting-edge technologies that have had a lasting impact on the world.

Conclusion: Lorenzo Ferrari's passion for innovation and commitment to creating a more sustainable future continue to drive his work forward, inspiring the next generation of inventors and entrepreneurs.

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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