Malmö, Sweden

Swaminathan Srinivasan

This inventor holds 1 USPTO granted patent. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Swaminathan Srinivasan. Retrieved from https://idiyas.com/inventor/swaminathan-srinivasan-19buz98v

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

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Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Swaminathan Srinivasan and His Patent on Application Quality of Experience

Introduction

Swaminathan Srinivasan is an inventor associated with Malmö, Sweden. His patent work addresses how to assess application quality of experience (QoE) by using network traffic data and machine learning.

Latest Patents

Srinivasan is associated with 1 patent: “System and Method for Determining Mean Opinion Score for Application Quality of Experience.” The invention describes a system that collects network traffic flow parameters and extracts a feature set from them. A machine-learning model is trained to determine the mean opinion score (MOS), which the system then monitors alongside network traffic to assess application QoE. The method similarly involves collecting network-flow data, extracting features, training and deploying a model to monitor MOS, and determining QoE from that score.

Career Highlights

The patent highlights Srinivasan’s work at the intersection of network monitoring, machine learning, and application performance assessment. Its approach uses MOS as a basis for evaluating users’ experience of applications operating over a computer network.

Collaborations

Srinivasan’s listed coworkers include Alexander Havang and Vishal Kulshrestha.

Conclusion

Swaminathan Srinivasan’s patent presents a machine-learning approach to estimating MOS from network traffic and using that measure to determine application quality of experience.

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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