Narayani Narasimhan

Title: Narayani Narasimhan: Innovator in Semiconductor Technology

Introduction

Narayani Narasimhan is a prominent inventor based in New Delhi, India. She has made significant contributions to the field of semiconductor technology, holding 2 patents that showcase her innovative approach to solving complex problems in this industry.

Latest Patents

Her latest patents include "Wafer level spatial signature grouping using transfer learning" and "Unsupervised pattern synonym detection using image hashing." The first patent involves classifying a wafer map using a machine learning-based model that employs transfer learning. This model can be trained with images from various sources, allowing for the extraction and augmentation of features. These features are then classified into defects that may occur during semiconductor manufacturing. The second patent focuses on hashing images of semiconductor wafers to create a fixed-length hash string for each image. This method enables the determination of pattern synonyms from the hash strings, which can be grouped based on adjustable degrees of similarity using Hamming distance. This technology has various applications, including the identification of latent defects.

Career Highlights

Narayani currently works at Kla Corporation, where she continues to push the boundaries of innovation in semiconductor technology. Her work has been instrumental in advancing the understanding and application of machine learning in this field.

Collaborations

Some of her notable coworkers include Alán Dávila and Ganesh Meenakshisundaram, with whom she collaborates on various projects aimed at enhancing semiconductor manufacturing processes.

Conclusion

Narayani Narasimhan's contributions to semiconductor technology through her patents and collaborative efforts highlight her role as a leading innovator in the industry. Her work not only addresses current challenges but also paves the way for future advancements in semiconductor manufacturing.