For the Inventor, By the Inventor

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San Diego, CA, United States of America

Qualcomm Technologies, Inc.

USPTO Granted Patents = 163

% Expired Patents = 22.7

EPO Patents = 13

Forward Citations = 1,123

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211 inventors (with patents filed for the assignee):

Jean-Jacques Lecler (14 out of 21 patents)

Philippe Boucard (14 out of 32 patents)

Eugene Izhikevich (12 out of 98 patents)

4. Robert J Littrell (10 out of 43 patents)

5. Filip Lukasz Piekniewski (9 out of 46 patents)

6. Jeffrey Alexander Levin (9 out of 59 patents)

7. Laurent Rene Moll (8 out of 65 patents)

8. Edgar Schmidhammer (7 out of 76 patents)

9. Seung Hyuk Kang (6 out of 247 patents)

10. Efstratios Gavves (6 out of 16 patents)

11. Arnold Wilhelmus Maria Smeulders (6 out of 12 patents)

12. Seong-Ook Jung (6 out of 73 patents)

13. Noam Levy (6 out of 17 patents)

14. Botond Szatmary (5 out of 42 patents)

15. Jayram Moorkanikara Nageswaran (5 out of 14 patents)

Core Competencies:

Neural Radiance Fields

Object Detection

Video Processing

Compressed Geometry

Biometric Authentication

Acoustic Transducer

Pose Estimation

Zone-Based Learning

Sensing Circuits

High Dynamic Range

Machine Learning

Graph Convolutional Networks

163 patents: Sort by Forward Citations

1. 12666972 - Die package with guard structure to reduce or prevent material seepage into air cavity, and related fabrication methods (2026-06-23),

2. 12620164 - Using neural radiance fields for label efficient image processing (2026-05-05),

3. 12567209 - Compressed geometry rendering and streaming (2026-03-03),

4. 12525008 - Object detection using visual language models via latent feature adaptation with synthetic data (2026-01-13),

5. 12487912 - Bootstrapping program synthesis language models to perform repairing (2025-12-02),

6. 12405365 - Environment model using cross-sensor feature point referencing (2025-09-02),

7. 12249138 - Context-driven learning of human-object interactions (2025-03-11),

8. 12231302 - Zone-based federated learning (2025-02-18),

9. 12216746 - Biometric authentication using voice accelerometer (2025-02-04),

10. 12211276 - Lingually constrained tracking of visual objects (2025-01-28),

11. 12163913 - Electrochemical gas sensor with varying bias voltage and environmental compensation (2024-12-10),

12. 12158922 - Gauge equivariant geometric graph convolutional neural network (2024-12-03),

13. 12149716 - Contrastive object representation learning from temporal data (2024-11-19),

14. 12142577 - Package comprising metal layer configured for electromagnetic interference shield and heat dissipation (2024-11-12),

15. 12058939 - Piezoelectric MEMS microphone (2024-08-06),

Company Overview

Qualcomm Technologies, Inc., based in San Diego, CA, is a leader in advanced image processing technologies. The company specializes in developing solutions that enhance visual experiences through innovations in neural radiance fields, object detection, and video processing. Its research extends to biometric authentication, acoustic transducers, pose estimation, and zone-based learning, positioning Qualcomm at the forefront of cutting-edge technology in various applications, including mobile devices and automotive systems.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

163 Patents

#33 in San Diego, CA

#533 in California

#2,438 in US

#5,069 in the World

San Diego, CA, United States of America

Qualcomm Technologies, Inc.

Forward Citations = 1,123

211 inventors:

Jean-Jacques Lecler (14 out of 21 patents)

Philippe Boucard (14 out of 32 patents)

Eugene Izhikevich (12 out of 98 patents)

4. Robert J Littrell (10 out of 43 patents)

5. Filip Lukasz Piekniewski (9 out of 46 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Qualcomm Technologies, Inc.. Retrieved from https://idiyas.com/company/qualcomm-technologies

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

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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