San Jose, CA, United States of America

Suhas Pillai

USPTO Granted Patents = 5 

Average Co-Inventor Count = 3.3

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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5 patents (USPTO):Explore Patents

Title: Suhas Pillai: Innovator in Electronic Design Technologies

Introduction

Suhas Pillai is a prominent inventor based in San Jose, CA (US). He has made significant contributions to the field of electronic design, holding a total of 5 patents. His work primarily focuses on utilizing advanced technologies such as convolutional neural networks to enhance electronic design processes.

Latest Patents

Suhas Pillai's latest patents include innovative methods and systems for generating shape data for electronic designs. These methods involve inputting a set of shape data that represents various shapes for device fabrication processes. A convolutional neural network is employed to determine a set of generated shape data, which includes a scanning electron microscope (SEM) image. Another notable patent involves methods for registering images for electronic designs. This process includes training a convolutional neural network to register images from different modalities, such as a computer-aided design (CAD) image and a SEM image, using an affine transformation.

Career Highlights

Throughout his career, Suhas Pillai has worked with notable organizations, including the Center for Deep Learning in Electronics Manufacturing, Inc. and the Center for Deep Learning in Electronics Mfg., Inc. His expertise in electronic design and deep learning has positioned him as a key figure in the industry.

Collaborations

Suhas has collaborated with talented individuals such as Thang Nguyen and Ajay Baranwal, contributing to advancements in electronic design technologies.

Conclusion

Suhas Pillai's innovative work in electronic design and his contributions through multiple patents highlight his role as a leading inventor in the field. His advancements in utilizing convolutional neural networks for electronic design processes continue to influence the industry.

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