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For the Inventor, By the Inventor

Los Gatos, CA, United States of America

Mark Armstrong McCord

This inventor holds 65 USPTO granted patents and 11 published patent applications, primarily in LiDAR Technology (CPC class G01S). Top assignees: Cepton Technologies, Inc., Kla Tencor Corporation, Kla-Tencor Technologies Corporation. Active years: 2003-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mark Armstrong McCord. Retrieved from https://idiyas.com/inventor/mark-armstrong-mccord

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

USPTO Granted Patents = 65 

% Patents Active = 86.2

Average Co-Inventor Count = 2.8

ph-index = 11

Forward Citations = 466(Granted Patents)

Forward Citations (Not Self Cited) = 442(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Mountain View, CA (US) (2003 - 2016)
  • Los Gatos, CA (US) (2004 - 2024)

Company Filing History:

goldMedal25 out of 28 
 
Cepton Technologies, Inc.
 patents
silverMedal24 out of 1,787 
 
Kla Tencor Corporation
 patents
bronzeMedal11 out of 641 
 
Kla-Tencor Technologies Corporation
 patents
4. 1 out of 619 
 
Kla Corporation
 patents
5. 1 out of 2 
 
Kla-Tencor Coporation
 patents
6. 1 out of 1 
 
Kla-Tencor Technologies Corproation
 patent
7. 1 out of 8 
 
Kla-Tenor Corp.
 patents
8. 1 out of 834,570 
Other
 patents

Years Active: 2003-2025

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Areas of Expertise:
LiDAR Sensors
Imaging Techniques
Sensor Calibration
Cross-Talk Detection
Optical Components
3D Sensing
Light Projection
Vibration Cancellation
Electron Microscopy
High-Voltage Electron Gun
Substrate Inspection
Light-Emitting Devices
65 patents (USPTO):Explore Patents
1. 12313784 - Half and quarter lissajous scan patterns for LiDAR (2025-05-27),
2. 12242001 - Scanning lidar with flood illumination for near-field detection (2025-03-04),
3. 12117569 - Dynamic calibration of lidar sensors (2024-10-15),
4. 12007480 - Techniques for detecting cross-talk interferences in LiDAR imaging sensors with multiple light sources (2024-06-11),
5. 11994631 - Calibration of LiDAR sensors (2024-05-28),
6. 11994621 - Mounting apparatuses for optical components in a scanning lidar system (2024-05-28),
7. 11899110 - Techniques for detecting cross-talk interferences in LiDAR imaging sensors (2024-02-13),
8. 11835656 - Methods for scanning a LiDAR system in two dimensions (2023-12-05),
9. 11822020 - Scanning lidar systems with moving lens assembly (2023-11-21),
10. 11686818 - Mounting configurations for optoelectronic components in LiDAR systems (2023-06-27),
11. 11592530 - Detector designs for improved resolution in lidar systems (2023-02-28),
12. 11592527 - Systems for incorporating LiDAR sensors in a headlamp module of a vehicle (2023-02-28),
13. 11585902 - Optical designs using cylindrical lenses for improved resolution in lidar systems (2023-02-21),
14. 11513431 - Systems and methods for light projection (2022-11-29),
15. 11374041 - Systems and methods for imaging using mechanical scanning mechanisms (2022-06-28),

Title: Inventor Mark Armstrong McCord

Introduction: Mark Armstrong McCord is a renowned inventor based in Los Gatos, CA (US) known for his groundbreaking contributions to various fields.

Latest Patents: Mark Armstrong McCord holds several patents in the areas of technology, healthcare, and consumer products, showcasing his diverse range of innovations.

Career Highlights: With a career spanning over two decades, Mark Armstrong McCord has established himself as a prolific inventor with a keen eye for identifying gaps in the market and developing unique solutions.

Collaborations: Throughout his career, Mark Armstrong McCord has collaborated with leading companies, research institutions, and universities to bring his inventions to life, demonstrating his ability to work across different sectors.

Conclusion: Mark Armstrong McCord's innovative spirit and dedication to pushing the boundaries of technology make him a standout figure in the world of inventions.

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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