Cupertino, CA, United States of America

Karthik Srinivasan

This inventor holds 4 USPTO granted patents and 1 published patent application. Top assignee: Ansys, Inc.. Active years: 2022-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Karthik Srinivasan. Retrieved from https://idiyas.com/inventor/karthik-srinivasan-1wpsqjfr

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

Calculating rank
USPTO Granted Patents = 4 

% Patents Active = 100.0

Average Co-Inventor Count = 10.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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4 patents (USPTO):Explore Patents

Title: Innovations of Karthik Srinivasan in Thermal Management Technologies

Introduction

Karthik Srinivasan is an accomplished inventor based in Cupertino, CA, with a focus on advanced thermal management technologies. He holds four patents that contribute significantly to the field of integrated circuit (IC) thermal analysis. His work leverages machine learning techniques to enhance the accuracy and efficiency of thermal simulations.

Latest Patents

Karthik's latest patents include innovative systems and methods for machine learning-based fast static thermal solvers. These inventions describe machine-assisted systems that enhance the resolution of an IC thermal profile through the use of a neural network-based predictor. This predictor is trained to determine temperature rises across an entire IC by generating representations of various templates that identify different portions of the IC. The training process involves performing thermal simulations for each template, which helps in determining the temperature changes relative to a base temperature.

Another notable patent focuses on predicting on-chip transient thermal responses in multi-chip systems using a recurrent neural network (RNN)-based predictor. This method enhances the resolution of IC thermal profiles by generating representations of templates and performing thermal simulations based on sequences of power patterns. The trained machine learning predictor can determine transient temperature rises and append this data to the system-level thermal profile of the IC.

Career Highlights

Karthik Srinivasan is currently employed at Ansys, Inc., where he applies his expertise in thermal management and machine learning. His contributions to the field have been recognized through multiple patents that showcase his innovative approach to solving complex thermal challenges in integrated circuits.

Collaborations

Karthik has collaborated with notable colleagues, including Norman H Chang and Hsiming Pan, to further advance the research and development of thermal management technologies.

Conclusion

Karthik Srinivasan's work in the realm of thermal management through machine learning is paving the way for more efficient and accurate thermal analysis in integrated circuits. His innovative patents reflect a commitment to enhancing technology in this critical area.

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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