San Jose, CA, United States of America

Nidhi Satyacharan Tiwari

USPTO Granted Patents = 4 

Average Co-Inventor Count = 5.3

ph-index = 2

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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4 patents (USPTO):Explore Patents

Title: Nidhi Satyacharan Tiwari: Innovator in Tintable Window Technology

Introduction

Nidhi Satyacharan Tiwari is a prominent inventor based in San Jose, CA (US). She has made significant contributions to the field of tintable window technology, holding a total of 4 patents. Her innovative work focuses on predictive modeling and failure prediction for tintable windows, showcasing her expertise in this specialized area.

Latest Patents

Nidhi's latest patents include groundbreaking systems and methods for controlling the tint of tintable windows. One of her notable inventions is a predictive modeling system that utilizes various predictive modules and quality assurance related modules. This technology aims to enhance the functionality and reliability of tintable windows. Another significant patent addresses the failure prediction of tintable windows, where data from measurements is combined with a learning module to identify and predict potential malfunctions. This predictive capability is based on data accumulated during the regular operation of the windows, ensuring proactive maintenance and improved performance.

Career Highlights

Throughout her career, Nidhi has worked with leading companies in the industry, including View, Inc. and View Operating Corporation. Her experience in these organizations has allowed her to develop and refine her innovative ideas, contributing to advancements in tintable window technology.

Collaborations

Nidhi has collaborated with talented professionals in her field, including Jack Kendrick Rasmus-Vorrath and Nitin Khanna. These collaborations have further enriched her work and expanded the impact of her inventions.

Conclusion

Nidhi Satyacharan Tiwari is a trailblazer in the realm of tintable window technology, with a focus on predictive modeling and failure prediction. Her contributions are paving the way for smarter and more efficient window solutions.

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