Minneapolis, MN, United States of America

S Rasoul Faraji

This inventor holds 1 USPTO granted patent. Top assignee: University of Louisiana at Lafayette. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: S Rasoul Faraji. Retrieved from https://idiyas.com/inventor/s-rasoul-faraji

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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

Title: Innovations of S Rasoul Faraji in Near-Sensor Processing

Introduction

S Rasoul Faraji is an accomplished inventor based in Minneapolis, MN (US). He has made significant contributions to the field of near-sensor processing through his innovative patent. His work focuses on developing efficient methods that enhance performance while reducing costs.

Latest Patents

Faraji holds a patent titled "Method for pulse-based convolution for near-sensor processing." This invention presents a low-cost, high-performance, and energy-efficient convolution engine based on pulsed unary processing. The design eliminates the need for expensive analog-to-digital converters, making it a valuable advancement in the field. Synthesis results indicate that this pulse-based design significantly reduces hardware costs and energy consumption compared to traditional fixed-point binary and stochastic computing-based designs. He has 1 patent to his name.

Career Highlights

Faraji is affiliated with the University of Louisiana at Lafayette, where he continues to contribute to research and innovation in his field. His work is characterized by a commitment to developing technologies that are both cost-effective and efficient.

Collaborations

He has collaborated with notable colleagues, including Mohammad Hassan Najafi and Kiarash Bazargan, to further advance research in near-sensor processing.

Conclusion

S Rasoul Faraji's innovative contributions to near-sensor processing exemplify the potential for advancements in technology that prioritize efficiency and cost-effectiveness. His work continues to influence the field and inspire future innovations.

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…