Princeton, NJ, United States of America

Janice M Stone


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 75(Granted Patents)


Company Filing History:


Years Active: 2004

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Janice M. Stone in Data Optimization

Introduction

Janice M. Stone is a prominent inventor hailing from Princeton, NJ, known for her groundbreaking contributions to the field of data optimization. With her inventive spirit and technical prowess, she has made a significant impact through her patent that addresses the complexities of data management in processing environments.

Latest Patents

Janice holds a patent for the "Method for determining an optimal partitioning of data among several memories." This innovative method and system focus on optimizing variable locations within disparate storage elements based on a least cost analysis. This analysis considers the frequency of variable access by program loops, greatly enhancing efficiency in various processing applications.

Career Highlights

Janice is affiliated with Sarnoff Corporation, a respected name in innovative technology. Her work primarily revolves around improving data processing methodologies, which showcase her deep understanding of both hardware and software interactions. Her singular patent reflects her commitment to creating solutions that meet the evolving demands of technology.

Collaborations

Throughout her career, Janice has had the privilege of collaborating with talented individuals such as Maya B. Gokhale and John P. Riganati. These partnerships have fostered an environment of creativity and innovation, allowing them to tackle complex challenges together in the realm of data optimization.

Conclusion

Janice M. Stone’s contributions to data optimization through her patent underscore her role as a visionary inventor. Her work not only advances the field of technology but also sets a precedent for future innovations. As the landscape progresses, her foundational work will continue to influence the optimization strategies employed in various digital environments.

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