Enter inventor name

Michael Seskin

USPTO Granted Patents = 18 (Patent Applications = 2)

Average Co-Inventor Count = 2.9

ph-index = 10

Forward Citations = 227(Granted Patents)

Company Filing History:

Years Active: 2007-2013

Loading Chart...

18 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 8478506 - Virtual sensor based engine control system and method (2013-07-02),

2. 8364610 - Process modeling and optimization method and system (2013-01-29),

3. 8209156 - Asymmetric random scatter process for probabilistic modeling system for product design (2012-06-26),

4. 8086640 - System and method for improving data coverage in modeling systems (2011-12-27),

5. 8015134 - Determining a corrective action based on economic calculation (2011-09-06),

6. 7928393 - Health monitoring through a correlation of thermal images and temperature data (2011-04-19),

7. 7877239 - Symmetric random scatter process for probabilistic modeling system for product design (2011-01-25),

8. 7831416 - Probabilistic modeling system for product design (2010-11-09),

9. 7813869 - Prediction based engine control system and method (2010-10-12),

10. 7788070 - Product design optimization method and system (2010-08-31),

11. 7787969 - Virtual sensor system and method (2010-08-31),

12. 7565333 - Control system and method (2009-07-21),

13. 7542879 - Virtual sensor based control system and method (2009-06-02),

14. 7499842 - Process model based virtual sensor and method (2009-03-03),

15. 7499777 - Diagnostic and prognostic method and system (2009-03-03),

Title: Michael Seskin: Innovator in Engine Control Systems

Introduction

Michael Seskin is a prominent inventor based in Cardiff, CA (US), known for his contributions to engine control systems. With a total of 18 patents to his name, Seskin has made significant advancements in the field of virtual sensor technology and model optimization.

Latest Patents

Among his latest patents is the "Virtual Sensor Based Engine Control System and Method." This innovative method involves obtaining data records related to multiple input parameters and at least one output parameter. It adjusts the values of the input parameters based on autocorrelation and reconfigures them based on cross-correlation relative to the output parameter. This process establishes a virtual sensor model that highlights the interrelationships between the input and output parameters.

Another notable patent is the "Process Modeling and Optimization Method and System." This method focuses on model optimization by obtaining distribution descriptions of input parameters and specifying search ranges for them. It simulates the model to determine a desired set of input parameters based on a zeta statistic, ultimately presenting the significance levels of the input parameters in relation to the output parameter.

Career Highlights

Michael Seskin has worked with reputable companies such as Caterpillar Inc. and Solar Turbines Inc. His experience in these organizations has allowed him to apply his innovative ideas in practical settings, contributing to advancements in engine technology.

Collaborations

Throughout his career, Seskin has collaborated with talented individuals, including Anthony James Grichnik and Amit Jayachandran. These partnerships have fostered a creative environment that has led to the development of groundbreaking technologies.

Conclusion

Michael Seskin's work in engine control systems and model optimization showcases his innovative spirit and dedication to advancing technology. His contributions continue to influence the field, making him a notable figure in the world of inventions.

This text is generated by artificial intelligence and may not be accurate.

Please report any incorrect information to support@idiyas.com