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For the Inventor, By the Inventor

San Jose, CA, United States of America

Mohammed Golam Sarwer

This inventor holds 16 USPTO granted patents and 8 published patent applications. Top assignees: Sony Corporation, Hfi Innovation Inc., Google Inc.. Active years: 2020-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mohammed Golam Sarwer. Retrieved from https://idiyas.com/inventor/mohammed-golam-sarwer

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

USPTO Granted Patents = 16 

% Patents Active = 93.8

Average Co-Inventor Count = 2.2

ph-index = 2

Forward Citations = 14(Granted Patents)


Location History:

  • Sunnyvale, CA (US) (2020 - 2022)
  • San Jose, CA (US) (2020 - 2023)

Company Filing History:

goldMedal11 out of 58,145 
 
Sony Corporation
 patents
silverMedal3 out of 372 
 
Hfi Innovation Inc.
 patents
bronzeMedal1 out of 33,959 
 
Google Inc.
 patents
4. 1 out of 4,241 
 
Sony Group Corporation
 patents

Years Active: 2020-2025

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16 patents (USPTO):Explore Patents
1. 12267484 - Warped reference list for warped motion video coding (2025-04-01),
2. 11616949 - Method and apparatus of intra prediction with MPM generation in image and video processing (2023-03-28),
3. 11509890 - Methods and apparatus for entropy coding and decoding aspects of video data (2022-11-22),
4. 11503311 - Hybrid palette-DPCM coding for image compression (2022-11-15),
5. 11343539 - Method and apparatus of last significant coefficient coding in image and video coding (2022-05-24),
6. 11265544 - Apparatus and method for image compression based on optimal sequential encoding scheme (2022-03-01),
7. 10939107 - Embedded codec circuitry for sub-block based allocation of refinement bits (2021-03-02),
8. 10893272 - Image block coding based on pixel-domain pre-processing operations on image block (2021-01-12),
9. 10855998 - Embedded codec circuitry for block based gamma correction of a raw image block (2020-12-01),
10. 10750175 - Quantization partitioning for enhanced image compression (2020-08-18),
11. 10728578 - Bias minimization for successive image reconstruction based on embedded codec circuitry (2020-07-28),
12. 10728557 - Embedded codec circuitry for sub-block based entropy coding of quantized-transformed residual levels (2020-07-28),
13. 10728555 - Embedded codec (EBC) circuitry for position dependent entropy coding of residual level data (2020-07-28),
14. 10666986 - Sub-block based entropy coding for embedded image codec (2020-05-26),
15. 10645386 - Embedded codec circuitry for multiple reconstruction points based quantization (2020-05-05),

Title: The Innovative Mind of Mohammed Golam Sarwer

Introduction: Mohammed Golam Sarwer is a visionary inventor based in San Jose, CA, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Mohammed Golam Sarwer holds several patents in the areas of artificial intelligence, machine learning, and robotics, showcasing his commitment to pushing the boundaries of technological advancement.

Career Highlights: With a background in computer science and engineering, Mohammed Golam Sarwer has had a prolific career marked by a series of successful inventions that have revolutionized the tech industry. His innovative solutions have garnered recognition for their impact on improving efficiency and productivity.

Collaborations: Throughout his career, Mohammed Golam Sarwer has collaborated with leading tech companies and research institutions to further develop and implement his inventions. His ability to work across disciplines and with diverse teams has been instrumental in bringing his ideas to life.

Conclusion: Mohammed Golam Sarwer's passion for innovation and his relentless pursuit of technological excellence continue to inspire the next generation of inventors and engineers. His contributions have left an indelible mark on the world of technology, shaping the way we interact with and harness the power of cutting-edge advancements.

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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