Rawalpindi, Pakistan

Ayesha Zahid

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Akeana, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ayesha Zahid. Retrieved from https://idiyas.com/inventor/ayesha-zahid

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

USPTO Granted Patents = 1 

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: Ayesha Zahid and Mesh-Based Snoop Vector Technology.

Introduction

Ayesha Zahid is an inventor based in Rawalpindi, Pakistan, and works at Akeana, Inc. Her patent work concerns processor data sharing and communication within a mesh-based network-on-chip.

Latest Patents

Zahid is associated with 1 patent, titled “Multi-cast snoop vectors within a mesh topology.” The invention describes techniques for sharing processor data across a system-on-a-chip containing a network-on-a-chip arranged in an M×N mesh. Each mesh point has a coherent tile with local snoop vectors. When a tile initiates a snoop operation, it generates a snoop vector identifying tiles to notify and combines that vector with local snoop vectors to create directional snoop vectors. It then selects an adjacent tile in a cardinal direction and sends the snoop operation with the corresponding directional vector.

Career Highlights

Zahid’s listed invention addresses how snoop operations can be directed between coherent tiles in a mesh topology. The approach uses directional vectors to support communication between neighboring tiles.

Collaborations

Zahid’s listed coworkers include Madhavi Kondapaneni and Aqdas Javaid. Her work is associated with Akeana, Inc.

Conclusion

Ayesha Zahid’s patent focuses on directional snoop-vector techniques for coordinating data-sharing operations across mesh-based processor networks.

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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