Zurich, Switzerland

Gagan Narula

This inventor holds 1 USPTO granted patent. Top assignee: Unversität Zürich. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gagan Narula. Retrieved from https://idiyas.com/inventor/gagan-narula-0gqsejnw

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Gagan Narula: Innovating for Streaming Medical Data

Introduction

Gagan Narula is an inventor based in Zurich, Switzerland, and is associated with the University of Zurich. His patent work addresses efficient access to medical data in streaming databases.

Latest Patents

Narula is named on one patent, 1 patent: “Computer system and method for efficient index creation for a streaming database.” The invention supports near-real-time access to patient medical-state parameters. A message broker receives records containing measured values, while a stream processor applies parameter-augmentation algorithms to calculate additional values. The system writes incoming and generated records to patient- and signal-specific tables, creating tables for previously unseen combinations and maintaining block-range indexes for time information.

Career Highlights

The patent describes a data-processing approach designed to organize continuously arriving medical information and make it more efficiently accessible. Its methods combine stream processing, persisted data tables, and index updates.

Collaborations

The patent’s listed collaborators include Emanuela Elisabeth Sophia Keller and Jens Michael Boss. Narula’s company affiliation is the University of Zurich.

Conclusion

Gagan Narula’s patent focuses on efficient indexing and near-real-time access to medical parameters in streaming databases, reflecting an application of data-processing innovation to healthcare.

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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