Los Altos, CA, United States of America

Danny Nan Tang


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2011

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1 patent (USPTO):Explore Patents

Title: The Innovations of Danny Nan Tang

Introduction

Danny Nan Tang is an accomplished inventor based in Los Altos, California. He has made significant contributions to the field of enterprise application systems through his innovative patent. His work focuses on optimizing system performance and enhancing operational efficiency.

Latest Patents

Danny Nan Tang holds a patent for an "Apparatus, system, and method for modeling, projecting, and optimizing an enterprise application system." This invention provides a comprehensive approach to modeling and optimizing enterprise application systems. The apparatus is designed to assess system processing capacity and workload characteristics. It also determines optimization parameters, such as system processor utilization and job acquiring rates for data entry points. Furthermore, it offers recommendations for software component multi-parallelism. The method includes reporting these optimization parameters and implementing them during run-time, ensuring that systems operate at peak efficiency.

Career Highlights

Danny is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to leverage his expertise in enterprise systems and contribute to cutting-edge technological advancements. His innovative mindset and technical skills have positioned him as a valuable asset within the company.

Collaborations

Danny has collaborated with various professionals in his field, including his coworker Te-Kai Liu. Their combined efforts have led to advancements in enterprise application systems and optimization techniques.

Conclusion

Danny Nan Tang's contributions to the field of enterprise application systems through his patent demonstrate his innovative spirit and technical expertise. His work continues to influence the optimization of complex systems, making a significant impact in the industry.

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