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For the Inventor, By the Inventor

Sunnyvale, CA, United States of America

Chandrasekaran Sakthivel

This inventor holds 54 USPTO granted patents and 10 published patent applications and 9 EPO patents, primarily in Machine Learning Optimization. Top assignees: Intel Corporation, Broadcom Corporation. Active years: 2014-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chandrasekaran Sakthivel. Retrieved from https://idiyas.com/inventor/chandrasekaran-sakthivel

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

Calculating rank
USPTO Granted Patents = 54 

% Patents Active = 100.0

 

Average Co-Inventor Count = 12.1

ph-index = 6

Forward Citations = 146(Granted Patents)

Forward Citations (Not Self Cited) = 119(Dec 10, 2025)


Location History:

  • Sunnyvale, CA (US) (2014 - 2024)
  • Cupertino, CA (US) (2021 - 2024)

Company Filing History:

goldMedal53 out of 56,394 
 
Intel Corporation
 patents
silverMedal1 out of 11,124 
 
Broadcom Corporation
 patents

Years Active: 2014-2025

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Areas of Expertise:
Neural Network Scheduling
Graphics Processors
Machine Learning Models
Data Compression
Augmented Reality
Virtual Reality
Distributed Training
Autonomous Vehicles
Policy-Based Systems
Foveated Rendering
Dynamic Brightness Control
Multi-User Collaboration
54 patents (USPTO):Explore Patents
1. 12499347 - Neural network scheduling mechanism (2025-12-16),
2. 12462328 - Coordination and increased utilization of graphics processors during inference (2025-11-04),
3. 12450484 - Communication optimizations for distributed machine learning (2025-10-21),
4. 12412086 - Neural network optimization mechanism (2025-09-09),
5. 12288287 - Graphics system with additional context (2025-04-29),
6. 12056906 - Compression of machine learning models utilizing pseudo-labeled data training (2024-08-06),
7. 11954783 - Graphics system with additional context (2024-04-09),
8. 11829525 - Sensory enhanced augmented reality and virtual reality device (2023-11-28),
9. 11810405 - Autonomous vehicle advanced sensing and response (2023-11-07),
10. 11809978 - Neural network scheduling mechanism (2023-11-07),
11. 11798198 - Dynamic assignment of down sampling intervals for data stream processing (2023-10-24),
12. 11797837 - Dynamic distributed training of machine learning models (2023-10-24),
13. 11756247 - Predictive viewport renderer and foveated color compressor (2023-09-12),
14. 11748841 - Coordination and increased utilization of graphics processors during inference (2023-09-05),
15. 11704565 - Communication optimizations for distributed machine learning (2023-07-18),

Title: Chandrasekaran Sakthivel - Innovator from Sunnyvale

Introduction: Chandrasekaran Sakthivel is a renowned inventor based in Sunnyvale, California, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Chandrasekaran Sakthivel holds several patents in the areas of artificial intelligence, machine learning, and renewable energy technologies, showcasing his commitment to pushing the boundaries of technological advancement.

Career Highlights: With a career spanning over two decades, Sakthivel has worked with leading tech companies in Silicon Valley, where he has spearheaded numerous projects that have revolutionized the industry. His innovative solutions have earned him recognition as a thought leader in the field.

Collaborations: Throughout his career, Chandrasekaran Sakthivel has collaborated with top researchers, engineers, and scientists from around the world, fostering a culture of innovation and knowledge sharing. His collaborative efforts have led to the development of cutting-edge technologies that have had a lasting impact on society.

Conclusion: Chandrasekaran Sakthivel's passion for innovation and his relentless pursuit of excellence have solidified his reputation as a visionary inventor in the tech industry. His contributions continue to inspire the next generation of innovators to push the boundaries of what is possible in the world of technology.

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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