For the Inventor, By the Inventor

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Los Angeles, CA, United States of America

Mojix, Inc.

USPTO Granted Patents = 36

% Expired Patents = 61.1

EPO Patents = 6

Trademarks = 8

Forward Citations = 577

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17 inventors (with patents filed for the assignee):

Ramin Sadr (33 out of 38 patents)

Christopher Richard Jones (16 out of 72 patents)

Dariush Divsalar (5 out of 31 patents)

4. Scott Stephens (4 out of 8 patents)

5. John Gevargiz (4 out of 6 patents)

6. Majid Manteghi (3 out of 3 patents)

7. Gordon Oliver (3 out of 3 patents)

8. Robert L Lee (3 out of 104 patents)

9. Andreas Mantik Ali (2 out of 2 patents)

10. Andres I Vila Casado (2 out of 4 patents)

11. Dong-U Lee (2 out of 2 patents)

12. Mike Collender (2 out of 2 patents)

13. Hasan Syed (2 out of 2 patents)

14. Bandel Louis Carano (1 out of 2 patents)

15. Michael Collender (1 out of 1 patent)

Core Competencies:

RFID Technology

Location Estimation

Supply Chain Management

Pattern Detection

Wireless Sensor Networks

Beamforming

Data Recovery

Compressive Sensing

Collision Detection

Spatio-Temporal Data

Passive RFID Sensors

Distributed Exciter Network

36 patents: Sort by Forward Citations

1. 10587993 - Location based services for RFID and sensor networks (2020-03-10),

2. 10585159 - Radio frequency identification tag location estimation and tracking system and method (2020-03-10),

3. 10127412 - Location estimation and tracking for passive RFID and wireless sensor networks using MIMO systems (2018-11-13),

4. 10009196 - Multiple symbol noncoherent soft output detector (2018-06-26),

5. 9983299 - Systems and methods for compressive sensing ranging evaluation (2018-05-29),

6. 9924244 - Systems and methods for detecting patterns in spatio-temporal data collected using an RFID system (2018-03-20),

7. 9881185 - Systems and methods for estimation of a population of passive RFID sensors (2018-01-30),

8. 9762976 - Systems and methods for detecting patterns in spatio-temporal data collected using an RFID system (2017-09-12),

9. 9690957 - RFID systems using distributed exciter network (2017-06-27),

10. 9647797 - Collision detection using a multiple symbol noncoherent soft output detector (2017-05-09),

11. 9614604 - RFID beam forming system (2017-04-04),

12. 9613236 - Methods for recovering RFID data based upon probability using an RFID receiver (2017-04-04),

13. 9607185 - Systems and methods for secure supply chain management and inventory control (2017-03-28),

14. 9602316 - Multiple symbol noncoherent soft output detector (2017-03-21),

15. 9312987 - Collision detection using a multiple symbol noncoherent soft output detector (2016-04-12),

Company Overview

Mojix, Inc. is a technology company based in Los Angeles, specializing in advanced RFID solutions and IoT applications. The organization focuses on providing innovative visibility and analytics platforms that enhance supply chain management and asset tracking across various industries. By leveraging cloud-based technologies, Mojix enables businesses to optimize operations, improve inventory accuracy, and gain actionable insights, thereby driving efficiency and reducing costs in their logistics and inventory processes.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

36 Patents

#51 in Los Angeles, CA

#2,247 in California

#9,509 in US

#18,730 in the World

Los Angeles, CA, United States of America

Mojix, Inc.

Forward Citations = 577

17 inventors:

Ramin Sadr (33 out of 38 patents)

Christopher Richard Jones (16 out of 72 patents)

Dariush Divsalar (5 out of 31 patents)

4. Scott Stephens (4 out of 8 patents)

5. John Gevargiz (4 out of 6 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Mojix, Inc.. Retrieved from https://idiyas.com/company/mojix

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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