Kolkata, India

Deep Datta

This inventor holds 1 USPTO granted patent. Top assignee: Ixia. Active years: 2017.


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Deep Datta: Innovator in Data Generation Technologies

Introduction

Deep Datta is a prominent inventor based in Kolkata, India. He has made significant contributions to the field of data generation technologies. His innovative work has led to the development of a unique patent that enhances the efficiency of data generation processes.

Latest Patents

Deep Datta holds a patent titled "Methods, systems, and computer readable media for providing a unified framework to support diverse data generation engines." This patent outlines a system that includes a protocol emulator capable of transmitting data to a device under test. The protocol emulator sends a request with a data profile identifier to a data generation adapter. The adapter identifies the appropriate data generation engine from a selection of engines to provide data corresponding to the identifier. The data generation engine then supplies the requested data to the emulator, which forwards it to the device under test. This innovative approach streamlines the data generation process, making it more efficient and effective.

Career Highlights

Deep Datta is currently employed at Ixia, a company known for its advanced network testing and security solutions. His role at Ixia allows him to apply his expertise in data generation technologies and contribute to the company's innovative projects.

Collaborations

Deep Datta collaborates with Partha Majumdar, a fellow professional in the field. Their partnership enhances the development of cutting-edge technologies and fosters innovation within their projects.

Conclusion

Deep Datta's contributions to data generation technologies through his patent and work at Ixia highlight his role as a key innovator in the industry. His efforts continue to shape the future of data generation processes.

Profile summary based on public USPTO records.
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