Steven Michael Durbin

Title: Innovations of Steven Michael Durbin

Introduction

Steven Michael Durbin is an accomplished inventor based in Kalamazoo, MI (US). He has made significant contributions to the field of science and technology, holding a total of four patents. His work focuses on advanced methods for analyzing solar phenomena and medical imaging.

Latest Patents

One of Durbin's latest patents is titled "Advanced warning for solar flares from photosphere image analysis." This innovative method quantifies disorder and extracts a numerical value of an order parameter from contrast analysis applied to optical images of the solar photosphere. The temporal variation of this order parameter can predict events such as solar flares, which can disrupt communication systems and satellite orbits. By monitoring the degree of order in the photosphere, Durbin's method aims to enhance the prediction of solar flares and other solar events.

Another notable patent is "Quantitative image-based disorder analysis for early detection of melanoma type features." This method distinguishes between benign and malignant skin conditions by extracting a numerical value corresponding to an order parameter from images of pigmented skin regions. The numerical value can assess the likelihood of a skin lesion being benign or malignant, and it can also evaluate the severity of the lesion over time.

Career Highlights

Durbin is affiliated with Western Michigan University, where he contributes to research and innovation in his field. His work has garnered attention for its potential applications in both astrophysics and medical diagnostics.

Collaborations

Durbin collaborates with Robert A Makin, III, among others, to further his research initiatives and patent developments.

Conclusion

Steven Michael Durbin's innovative patents reflect his dedication to advancing technology in both solar analysis and medical imaging. His contributions have the potential to significantly impact various fields, enhancing our understanding and capabilities in predicting solar events and diagnosing skin conditions.