Pleasanton, CA, United States of America

Jimin Wen

This inventor holds 15 USPTO granted patents and 1 published patent application, primarily in Machine Learning Applications. Top assignee: Ansys, Inc.. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jimin Wen. Retrieved from https://idiyas.com/inventor/jimin-wen

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

Calculating rank
USPTO Granted Patents = 15 

% Patents Active = 73.3

Average Co-Inventor Count = 8.3

ph-index = 1

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2022-2026

Loading Chart...
Areas of Expertise:
Electromagnetic Fault Injection
Points of Interest
Thermal Analysis
Transient IC Analysis
Heat Maps
Counterfeit Chip Detection
Silicon Density Prediction
Fast Static Thermal Solver
15 patents (USPTO):Explore Patents

Title: Jimin Wen: Innovator in Integrated Circuit Thermal Management

Introduction

Jimin Wen, a prominent inventor based in Pleasanton, California, has made significant strides in the field of integrated circuit (IC) thermal management. With a remarkable portfolio of 7 patents, his innovations have the potential to revolutionize how ICs are analyzed and optimized, particularly in relation to thermal profiles and data security.

Latest Patents

Wen's latest patents reflect his commitment to advancing machine learning applications within IC technology. One notable patent is titled "Systems and methods for machine learning-based fast static thermal solver." This invention describes a machine-assisted system that enhances the resolution of an IC thermal profile through a neural network-based predictor. The predictor is trained to evaluate temperature changes across the IC, based on thermal simulations of various templates. This innovative approach enables the generation of a detailed thermal profile, crucial for optimizing IC performance.

Another groundbreaking patent by Wen focuses on "Machine learning for automatic identification of points of interest for side channel leakage." This invention outlines methods utilizing machine learning models to evaluate the leakage of sensitive data, such as cryptographic keys, in ICs. The technology processes leakage-related scores using neural networks, allowing for the identification of critical points of interest that pose the most significant risks.

Career Highlights

Jimin Wen works at Ansys, Inc., a leader in engineering simulation software. His contributions have not only elevated the company's standing in the industry but have also advanced the fields of thermal management and data security in integrated circuits. His career reflects a commitment to innovation and practical applications of machine learning in electronics.

Collaborations

Wen collaborates with talented professionals, including Deqi Zhu and Akhilesh Kumar, who share his dedication to pushing the boundaries of IC technology. These collaborations foster a dynamic environment for knowledge exchange and development, further enhancing the scope of their projects.

Conclusion

With a strong foundation in machine learning and a profound understanding of integrated circuits, Jimin Wen is an exemplary inventor whose work promises to shape the future of thermal management and data protection. His innovative patents serve as a testament to his expertise and commitment to excellence in the field of electronics.

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]
Loading…