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For the Inventor, By the Inventor

Kansas City, MO, United States of America

Riddhiman Das

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This inventor holds 22 USPTO granted patents, primarily in Privacy-Preserving Computation. Top assignees: Tripleblind, Inc., Advanced New Technologies Co., Ltd., Alibaba Group Holding Limited. Active years: 2019-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Riddhiman Das. Retrieved from https://idiyas.com/inventor/riddhiman-das

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

USPTO Granted Patents = 22

% Patents Active = 100.0

Average Co-Inventor Count = 3.7

ph-index = 3

Forward Citations = 27(Granted Patents)


Location History:

  • Kansas City, MO (US) (2019 - 2021)
  • Parkville, MO (US) (2022 - 2023)
  • Lenexa, KS (US) (2021 - 2024)

Company Filing History:

goldMedal17 out of 20 
 
Tripleblind, Inc.
 patents
silverMedal2 out of 1,366 
 
Advanced New Technologies Co., Ltd.
 patents
bronzeMedal1 out of 2,425 
 
Alibaba Group Holding Limited
 patents
4. 1 out of 47 
 
Eyeverify Inc.
 patents
5. 1 out of 44,897 
 
Qualcomm Incorporated
 patents

Years Active: 2019-2024

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Areas of Expertise:
Federated Learning
Data Encryption
Multi-Party Computation
Neural Networks
Privacy Data
Quantum-Proof Key Exchange
Artificial Intelligence
Secure Enclaves
Blind Learning
Error System
Data Marketplace
Telehealth
22 patents (USPTO):Explore Patents
1. 12026219 - Systems and methods for efficient computations on split data and split algorithms (2024-07-02),
2. 11855970 - Systems and methods for blind multimodal learning (2023-12-26),
3. 11843587 - Systems and methods for tree-based model inference using multi-party computation (2023-12-12),
4. 11843586 - Systems and methods for providing a modified loss function in federated-split learning (2023-12-12),
5. 11792646 - Systems and methods for providing a multi-party computation system for neural networks (2023-10-17),
6. 11743238 - Systems and methods for blind vertical learning (2023-08-29),
7. 11625377 - Systems and methods for enabling two parties to find an intersection between private data sets without learning anything other than the intersection of the datasets (2023-04-11),
8. 11599671 - Systems and methods for finding a value in a combined list of private values (2023-03-07),
9. 11582203 - Systems and methods for encrypting data and algorithms (2023-02-14),
10. 11539679 - Systems and methods for providing a quantum-proof key exchange (2022-12-27),
11. 11531782 - Systems and methods for finding a value in a combined list of private values (2022-12-20),
12. 11528259 - Systems and methods for providing a systemic error in artificial intelligence algorithms (2022-12-13),
13. 11509470 - Systems and methods for providing a privacy-preserving training approach in blind learning with secure enclaves (2022-11-22),
14. 11507693 - Systems and methods for providing a blind de-identification of privacy data (2022-11-22),
15. 11431688 - Systems and methods for providing a modified loss function in federated-split learning (2022-08-30),

Title: The Innovative Journey of Riddhiman Das

Introduction: Riddhiman Das, a talented inventor based in Kansas City, MO (US), has been making waves in the world of technology with his groundbreaking innovations.

Latest Patents: Riddhiman Das holds several patents in the field of artificial intelligence and robotics, with his most recent invention focusing on enhancing human-robot interactions in healthcare settings.

Career Highlights: With a background in computer science and engineering, Riddhiman Das has worked for leading tech companies, contributing his expertise to the development of cutting-edge technologies that have revolutionized various industries.

Collaborations: Throughout his career, Riddhiman Das has collaborated with top researchers and engineers to bring his ideas to life, fostering a culture of innovation and creativity in the teams he works with.

Conclusion: Riddhiman Das continues to push the boundaries of technology with his inventive spirit and passion for creating solutions that improve the way we live and work.

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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