San Diego, CA, United States of America

Mark Joseph Durst

USPTO Granted Patents = 2 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Mark Joseph Durst: Innovator in Physiological Response Prediction Systems

Introduction

Mark Joseph Durst is a notable inventor based in San Diego, California. He has made significant contributions to the field of physiological response prediction systems. With a total of two patents to his name, Durst's work focuses on advanced modeling techniques that enhance our understanding of system dynamics over time.

Latest Patents

Durst's latest patents include a groundbreaking physiological response prediction system. This system is designed to model the evolution of a system over time using an advection-based process. It continuously evolves a probability density function (PDF) for a characteristic of the state of the system and its time-varying parameters. The PDF is evolved based on advection by solving an advection partial differential equation that is based on a system model. This innovative approach allows the system to make accurate predictions about the characteristic of the state of the system.

Career Highlights

Mark Joseph Durst is currently associated with Intermountain Intellectual Asset Management, LLC. His work at this company emphasizes the importance of intellectual property in the realm of technological advancements. Durst's expertise in modeling and prediction systems has positioned him as a valuable asset in his field.

Collaborations

Some of Durst's notable coworkers include David John Balaban and Todd W Kelley. Their collaborative efforts contribute to the innovative environment at Intermountain Intellectual Asset Management, LLC.

Conclusion

Mark Joseph Durst is a prominent figure in the development of physiological response prediction systems. His innovative patents and contributions to the field highlight the importance of advanced modeling techniques in understanding complex systems. His work continues to influence the landscape of technological innovation.

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