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For the Inventor, By the Inventor

Aman Bhatia

San Jose, CA, United States of America

Aman Bhatia

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This inventor holds 116 USPTO granted patents and 5 published patent applications, primarily in Memory Devices (CPC class H03M13-1108). Top assignees: Skhynix Inc., Intel Corporation. Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Aman Bhatia. Retrieved from https://idiyas.com/inventor/aman-bhatia

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

USPTO Granted Patents = 116 

% Patents Active = 98.3

Average Co-Inventor Count = 3.9

ph-index = 8

Forward Citations = 226(Granted Patents)

Forward Citations (Not Self Cited) = 181(Dec 10, 2025)


Inventors with similar research interests:

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Location History:

  • Milpitas, CA (US) (2018)
  • Fremont, CA (US) (2019)
  • San Jose, CA (US) (2018 - 2024)
  • Los Gatos, CA (US) (2021 - 2024)

Company Filing History:

goldMedal114 out of 11,659 
 
Skhynix Inc.
 patents
silverMedal2 out of 56,322 
 
Intel Corporation
 patents

Years Active: 2018-2026

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Areas of Expertise:
Read Threshold
Deep Learning
Memory Devices
LDPC Codes
Voltage Estimation
Data Storage
Error Correction
Bit-Flipping Decoder
Non-Parametric Modeling
Optimization Systems
Polynomial Regression
Soft Decoding
116 patents (USPTO):Explore Patents
1. 12640756 - Data storage device (2026-05-26),
2. 12499348 - Read threshold prediction in memory devices using deep neural networks (2025-12-16),
3. 11996865 - Data storage device (2024-05-28),
4. 11960989 - Read threshold estimation systems and methods using deep learning (2024-04-16),
5. 11907571 - Read threshold optimization systems and methods using domain transformation (2024-02-20),
6. 11854629 - System and method for non-parametric optimal read threshold estimation using deep neural network (2023-12-26),
7. 11853590 - Read threshold estimation system using calculations based on polynomial regression (2023-12-26),
8. 11777530 - Methods and apparatuses for generating optimized LDPC codes (2023-10-03),
9. 11769556 - Systems and methods for modeless read threshold voltage estimation (2023-09-26),
10. 11769555 - Read threshold voltage estimation systems and methods for parametric PV-level modeling (2023-09-26),
11. 11749354 - Systems and methods for non-parametric PV-level modeling and read threshold voltage estimation (2023-09-05),
12. 11664821 - Error floor performance of a bit flipping decoder through identifying unreliable check nodes (2023-05-30),
13. 11621727 - Decoding systems and methods for local reinforcement (2023-04-04),
14. 11611359 - Data storage device (2023-03-21),
15. 11610641 - Wafer-yields and write-QoS in flash-based solid state drives (2023-03-21),

Title: The Innovative Journey of Aman Bhatia

Introduction: Aman Bhatia, a talented inventor based in San Jose, CA (US), has made significant contributions to the field of technology through his groundbreaking inventions and patents.

Latest Patents: Aman Bhatia holds several patents in the areas of artificial intelligence, machine learning, and renewable energy technologies, showcasing his commitment to driving innovation forward.

Career Highlights: With a background in computer science and engineering, Aman Bhatia has a successful track record of developing cutting-edge solutions that have revolutionized industries such as healthcare, finance, and transportation.

Collaborations: Throughout his career, Aman Bhatia has collaborated with leading research institutions, universities, and tech companies to further his inventions and bring them to market, solidifying his reputation as a visionary inventor.

Conclusion: Aman Bhatia's passion for innovation and his dedication to pushing the boundaries of technology make him a standout figure in the world of inventors, with his work continuing to inspire future generations of innovators.

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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