This inventor holds 13 USPTO granted patents, plus 1 CIPO patent. Top assignees: Sandia Corporation, The University of New Mexico, Other. Active years: 1990-2005.
Company Filing History:
11 out of 1,769 
1 out of 942 
1 out of 834,411 Years Active: 1990-2005
Title: The Innovations of David M Haaland
Introduction
David M Haaland is a prominent inventor based in Albuquerque, NM (US). He has made significant contributions to the field of multivariate spectral analysis, holding a total of 13 patents. His work has advanced the understanding and application of calibration models in various scientific domains.
Latest Patents
One of his latest patents is titled "Augmented Classical Least Squares Multivariate Spectral Analysis." This method provides an improved classical least squares (CLS) calibration model when unmodeled sources of spectral variation are present in a calibration sample set. The augmented classical least squares (ACLS) methods utilize information derived from component or spectral residuals during the CLS calibration to enhance the calibration-augmented CLS model. These methods retain the qualitative benefits of CLS while offering the flexibility of partial least squares (PLS) and other hybrid techniques. They can define a prediction model even with unmodeled sources of spectral variation that are not explicitly included in the calibration model. The unmodeled sources may include unknown constituents, constituents with unknown concentrations, nonlinear responses, non-uniform and correlated errors, or other sources of spectral variation present in the calibration sample spectra. Additionally, the ACLS methods can incorporate the new prediction-augmented CLS (PACLS) method for updating the prediction model for new sources of spectral variation without returning to the calibration process. The ACLS methods are versatile and can be applied to all types of multivariate data.
Career Highlights
David M Haaland has had a distinguished career, working with notable organizations such as Sandia Corporation and the University of New Mexico. His expertise in spectral analysis has made him a valuable asset in these institutions, contributing to various research projects and innovations.
Collaborations
Throughout his career, David has collaborated with esteemed colleagues, including Mark Ries Robinson and Edward V Thomas. These collaborations have further enriched his work and expanded the impact of his inventions.
Conclusion
David M Haaland's contributions to multivariate spectral analysis and his innovative patents have significantly advanced the field. His work continues to influence research and applications in various scientific domains.