North Haven, CT, United States of America

Binesh Kumar Sadanandan

This inventor holds 1 USPTO granted patent. Top assignee: Covidien LP. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Binesh Kumar Sadanandan. Retrieved from https://idiyas.com/inventor/binesh-kumar-sadanandan

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Binesh Kumar Sadanandan and Machine Learning Control of Surgical Devices.

Introduction

Binesh Kumar Sadanandan is an inventor based in North Haven, Connecticut. He is associated with Covidien LP and is named on 1 patent.

Latest Patents

Sadanandan is named on the patent “Systems and Methods for Machine Learning Control of a Surgical Device.” The invention describes a computer-implemented method that processes sensor data captured during a surgical procedure. It filters the raw data, identifies zero crossings in the difference between the raw and filtered signals, and supplies that information to a machine-learning classifier. The classifier predicts the probability of an end stop point, defined as the time when the surgical device’s knife ceases cutting tissue.

Career Highlights

The patent reflects Sadanandan’s work on applying machine learning to surgical-device control. Its approach uses sensor signals to help identify when a cutting action has ended.

Collaborations

Sadanandan’s listed coworkers include Neethu Lekshmi Vasudevan Jalaja and Christopher Kelly Evans. The patent connects their work with Covidien LP’s development of technology for surgical devices.

Conclusion

Binesh Kumar Sadanandan’s patent documents an application of machine learning to interpreting surgical-device sensor data and predicting when a knife stops cutting tissue.

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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