Silverdale, WA, United States of America

Brian R Galvin

USPTO Granted Patents = 92 (Patent Applications = 80)

CIPO Patents = 1

EPO Patents = 3 (Patent Applications = 8)

Average Co-Inventor Count = 1.7

ph-index = 8

Forward Citations = 444(Granted Patents)

Forward Citations (Not Self Cited) = 418(Dec 10, 2025)

Location History:

El Granada, CA (US) (2000 - 2001)
Albuquerque, NM (US) (2006 - 2011)
Siverdale, WA (US) (2019)
Seabeck, WA (US) (2011 - 2024)
Silverdale, WA (US) (2015 - 2024)

Company Filing History:

47 out of 145

Atombeam Technologies Inc.

patents

23 out of 563

Genesys Telecommunications Laboratories, Inc.

patents

9 out of 63

Virtual Hold Technology Solutions, LLC

patents

4. 5 out of 26

Newvoicemedia Limited

patents

5. 1 out of 1

Michelli Capital Limited Liability Company

patent

6. 1 out of 82

Vonage Business Limited

patents

7. 5 out of 832,843

Other

patents

where one patent can have more than one assignee

Years Active: 2000-2025

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Areas of Expertise:

Cognitive Machines

Deep Learning

Neural Networks

Data Compression

Blockchain Management

Homomorphic Encryption

Genomic Data

Multimodal Transformation

Financial Technology

Large Language Models

Adaptive Encoding

Edge-Cloud Computing

92 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12493569 - System and method for energy-aware distributed edge-cloud homomorphic compression using adaptive neural networks (2025-12-09),

2. 12483268 - Federated latent transformer deep learning core (2025-11-25),

3. 12481688 - System and method for persistent cognitive machines using a digital thought architecture (2025-11-25),

4. 12477117 - System and methods for upsampling of decompressed data after lossy compression using a neural network (2025-11-18),

5. 12470416 - Secure, robust, and efficient blockchain management using large codeword models (2025-11-11),

6. 12469179 - System and methods for upsampling of decompressed data after lossy compression using a neural network (2025-11-11),

7. 12443564 - System and method for adaptive quality driven compression of genomic data using neural networks (2025-10-14),

8. 12438554 - System and method for federated two-stage compression within a persistent cognitive machine (2025-10-07),

9. 12437448 - System and methods for multimodal series transformation for optimal compressibility with neural upsampling (2025-10-07),

10. 12425044 - Federated large codeword model deep learning architecture (2025-09-23),

11. 12423283 - Unified system for multi-modal data compression with relationship preservation and neural reconstruction (2025-09-23),

12. 12423271 - System and methods for adaptive bandwidth-efficient encoding of genomic data (2025-09-23),

13. 12418680 - Multimodal latent hyperspace navigation incorporating spectral, spatial, temporal, and scale dimensions (2025-09-16),

14. 12417386 - System and methods for upsampling of decompressed genomic data after lossy compression using a neural network (2025-09-16),

15. 12417168 - System and method for edge based multi-modal homomorphic compression (2025-09-16),

Title: Inventor Brian R Galvin - Revolutionizing Technology

Introduction: Brian R Galvin, a visionary inventor based in Silverdale, WA (US), is renowned for his groundbreaking contributions to the field of technology.

Latest Patents: Brian R Galvin holds several patents in the areas of artificial intelligence, renewable energy, and nanotechnology, showcasing his versatility and innovative spirit.

Career Highlights: With over two decades of experience in research and development, Brian R Galvin has led numerous successful projects that have pushed the boundaries of technological advancement.

Collaborations: Throughout his career, Brian R Galvin has collaborated with leading tech companies, research institutions, and universities, fostering a culture of innovation and knowledge sharing.

Conclusion: In conclusion, Brian R Galvin's passion for innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors and shape the future of technology.

This text is generated by artificial intelligence and may not be accurate.