Brighton, MA, United States of America

Md Ashfaquzzaman Khan


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2013

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1 patent (USPTO):Explore Patents

Title: The Innovations of Md Ashfaquzzaman Khan: Pioneering Data Processing Solutions

Introduction: Md Ashfaquzzaman Khan is an inventive mind based in Brighton, MA, USA, recognized for his contribution to the realm of data processing technologies. With a keen focus on enhancing the efficiency of semiconductor devices through innovative software solutions, Khan has made significant strides in the industry.

Latest Patents: Khan holds a patent for a data processing apparatus, a method therefor, and a computer program. This invention includes a host processing apparatus that performs cooperative verification using generated Timed software. The patent encompasses the analysis of hardware and software of semiconductor devices in conjunction with an operating system. It specifically highlights the process of recognizing a Basic Block, which serves as the foundational unit for calculating time information, ultimately generating Timed software for cooperative verification.

Career Highlights: Currently, Khan is employed at Sony Corporation, where he continues to innovate and push the boundaries of data processing technologies. His work not only demonstrates a deep understanding of both hardware and software integration but also emphasizes the importance of time-critical operations within computing environments.

Collaborations: In his pursuit of innovation, Md Ashfaquzzaman Khan collaborates closely with Yasushi Fukuda, a fellow engineer at Sony Corporation. Their partnership exemplifies a commitment to advancing technology and fostering fruitful exchanges of ideas to refine and develop groundbreaking solutions.

Conclusion: Md Ashfaquzzaman Khan stands as a testament to the power of innovation in the technology sector. As a notable inventor and a valued member of Sony Corporation, his contributions will undoubtedly continue to influence the future of data processing methodologies, paving the way for more efficient and effective technological solutions.

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