San Jose, CA, United States of America

Rishi Amit Sinha

This inventor holds 12 USPTO granted patents. Top assignees: Brocade Communications Systems, Inc., Other. Active years: 2013-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rishi Amit Sinha. Retrieved from https://idiyas.com/inventor/rishi-amit-sinha

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


% Patents Active = 75.0

Average Co-Inventor Count = 2.6

ph-index = 6

Forward Citations = 103(Granted Patents)


Company Filing History:

goldMedal10 out of 498 
 
Brocade Communications Systems, Inc.
 patents
silverMedal1 out of 834,513 
Other
 patents
where one patent can have more than one assignee

Years Active: 2013-2024

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12 patents (USPTO):Explore Patents

Title: Rishi Amit Sinha: Innovator in Cognitive Assistance Technologies

Introduction

Rishi Amit Sinha is a prominent inventor based in San Jose, CA, known for his contributions to cognitive assistance technologies. With a total of 12 patents, he has made significant strides in the fields of emotion detection and support for the hearing-impaired. His innovative work combines machine learning with practical applications, enhancing user experiences in various environments.

Latest Patents

One of Rishi's latest patents is a cognitive assistant for real-time emotion detection from human speech. This system utilizes audio signals obtained from an audio receiver to extract human speech samples. It employs a machine learning-based classifier to analyze the speech signal and classify the observed emotion. Users receive notifications based on their preferences, summarizing the detected emotion. Additionally, the system can store speech samples and emotion classifications for future analysis, with the classifier being periodically re-trained using labeled audio speech data.

Another notable patent focuses on assisting the hearing-impaired through machine learning for ambient sound analysis and alerts. This system captures audio signals from the environment of a hearing-impaired individual and classifies them into various categories, such as emergency sounds or animal noises. Users are notified via mobile or wearable devices, with options for audio amplification and speech-to-text transcription. The machine learning classifier is also periodically trained with labeled audio samples to improve its accuracy.

Career Highlights

Rishi has worked with several companies, including Brocade Communications Systems, Inc. His experience in these organizations has contributed to his expertise in developing innovative technologies that address real-world challenges.

Collaborations

Rishi has collaborated with talented individuals such as Sathish Kumar Gnanasekaran and Vineet M Abraham, further enhancing the impact of his work in the field of cognitive assistance.

Conclusion

Rishi Amit Sinha's innovative contributions to cognitive assistance technologies demonstrate his commitment to improving user experiences through advanced machine learning applications. His work continues to pave the way for future advancements in emotion detection and support for the hearing-impaired.

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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