James Higgins

Title: Innovations of James Higgins in Flight Data Analysis

Introduction

James Higgins is an accomplished inventor based in Grand Forks, ND (US). He has made significant contributions to the field of flight data analysis through his innovative patent. His work focuses on utilizing predictive models to enhance the understanding of flight parameters.

Latest Patents

James Higgins holds a patent for "Analyzing flight data using predictive models." This patent describes various embodiments for analyzing flight data through the application of a quadratic least squares model. The model is applied to a matrix of time-series flight parameter data, deriving mathematical signatures for each flight parameter. The derived signatures are aggregated into a dataset, allowing for the measurement of similarities between flights by calculating a distance metric. A machine-learning algorithm is then applied to identify clusters of outliers within the dataset.

Career Highlights

James Higgins is affiliated with the University of North Dakota, where he continues to contribute to research and innovation in flight data analysis. His work has implications for improving flight safety and operational efficiency.

Collaborations

James has collaborated with notable colleagues, including Travis Desell and Sophine Clachar, enhancing the research environment and fostering innovation.

Conclusion

James Higgins exemplifies the spirit of innovation in the field of flight data analysis, with his patent paving the way for advancements in predictive modeling and data analysis. His contributions are valuable to both academia and the aviation industry.