Oakville, Canada

Reza Sedaghat


Average Co-Inventor Count = 2.0

ph-index = 2

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 2013-2014

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2 patents (USPTO):Explore Patents

Title: Reza Sedaghat: Innovator in System Architecture Development

Introduction

Reza Sedaghat is a notable inventor based in Oakville, Canada. He has made significant contributions to the field of system architecture development, holding two patents that showcase his innovative approach to optimizing resource constraints and design spaces.

Latest Patents

Reza's latest patents include a "System and method for development of a system architecture" and a "System and methodology for development of a system architecture using optimization parameters." The first patent outlines methods, systems, and a computer-readable medium for developing a system architecture that involves defining resource constraints and optimization parameters. It details how to determine satisfying sets of variants through fuzzy search techniques and generate an ordered list of variants for selection. The second patent describes a similar methodology, focusing on defining resource constraints and optimization parameters to construct an effective system architecture. It emphasizes the importance of priority factor functions and the intersection of satisfying sets of vectors for optimization.

Career Highlights

Reza Sedaghat is currently affiliated with Ryerson University, where he continues to advance his research and development in system architecture. His work is characterized by a strong emphasis on optimization and resource management, making him a valuable asset in his field.

Collaborations

Reza collaborates with Anirban Sengupta, contributing to innovative projects and research initiatives that aim to enhance system architecture methodologies.

Conclusion

Reza Sedaghat's contributions to system architecture development through his patents and collaborations highlight his role as an influential inventor in the field. His work continues to pave the way for advancements in optimizing resource constraints and design spaces.

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