Bengaluru, India

Deepa Malapati Ravindraiah

This inventor holds 1 USPTO granted patent and 8 published patent applications. Top assignee: Nokia Technologies Oy. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Deepa Malapati Ravindraiah. Retrieved from https://idiyas.com/inventor/deepa-malapati-ravindraiah

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Deepa Malapati Ravindraiah: Patent Inventor in Bengaluru

Introduction

Deepa Malapati Ravindraiah is an inventor based in Bengaluru, India. Her patent work includes a network technology invention focused on managing congestion for individual traffic flows.

Latest Patents

Ravindraiah is associated with one patent, titled “Flow-Specific Congestion Handling.” The invention describes determining parameter information for adjusting the rate of congestion-notification marking applied to a particular traffic flow and sending that information to a network entity. This approach is intended to support flow-specific responses to network congestion.

Career Highlights

Ravindraiah is associated with Nokia Technologies Oy. Her patent reflects work in communications networking, particularly in techniques for handling congestion notifications.

Collaborations

Her listed coworkers include Bighnaraj Panigrahi and Saubhagya Baliarsingh. The available information identifies them as coworkers but does not specify their roles in the patent.

Conclusion

Deepa Malapati Ravindraiah’s patent on flow-specific congestion handling highlights her contribution to network technology through work associated with Nokia Technologies Oy.

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]
Loading…