This inventor holds 3 USPTO granted patents. Top assignee: Sandia Corporation. Active years: 1999-2003.
Company Filing History:
Years Active: 1999-2003
Title: Innovations by John S Wagner
Introduction
John S Wagner is a notable inventor based in Albuquerque, NM (US). He has made significant contributions to the field of particle analysis and material identification, holding a total of 3 patents. His work focuses on utilizing advanced techniques such as laser ablation mass spectroscopy and neural networks to enhance the identification of bioaerosols and known materials within unknown mixtures.
Latest Patents
One of his latest patents is titled "Particle analysis using laser ablation mass spectroscopy." This invention provides a method for quickly identifying bioaerosols by class, even if the subject bioaerosol has not been previously encountered. The method begins by collecting laser ablation mass spectra from known particles, which are then correlated with the known particles, including the species of particle and classification, such as bacteria. The spectra can be used to train a neural network, employing genetic algorithm-based training to recognize each spectrum and its characteristics. Additionally, the spectra can be utilized in a multivariate patch algorithm, allowing for the identification of unknown particles through the trained neural network.
Another significant patent is the "Method for identifying known materials within a mixture of unknowns." This invention employs one or both of two methods and systems to determine the concentration of a known material in an unknown mixture based on the measured interaction of electromagnetic waves upon the mixture. One technique utilizes a multivariate analysis patch technique to develop a library of optimized patches of spectral signatures of known materials. The identity and concentration of known materials within the unknown mixture are determined by minimizing the residuals between the measurements from the library and the unknown mixture. The second technique involves training a neural network using a genetic algorithm to ascertain the identity and concentration of known materials.
Career Highlights
John S Wagner is currently associated with Sandia Corporation, where he continues to innovate and contribute to advancements in his field. His work has garnered attention for its practical applications in various industries, particularly in environmental monitoring and material science.
Collaborations
Some of his notable coworkers include Michael W Trahan and Eric P Parker, who have collaborated with him on various projects and patents.
Conclusion
John S Wagner's contributions to the field of particle analysis and material identification demonstrate his innovative spirit and commitment to advancing technology. His patents reflect a deep understanding of complex scientific principles and their practical applications, making him a valuable asset in his field.