Christina Ting

Title: Christina Ting: Innovator in Boundary Detection Technologies

Introduction

Christina Ting is a notable inventor based in Cedar Crest, NM (US). She has made significant contributions to the field of data analysis through her innovative patent. Her work focuses on developing efficient methods for boundary detection in various datasets, which is crucial for numerous applications in technology and research.

Latest Patents

Christina Ting holds a patent titled "Efficient Generalized Boundary Detection." This patent describes fast, efficient, and robust compression-based methods for detecting boundaries in arbitrary datasets, including one-dimensional sequences. The methods utilize three simple algorithms to approximate the information distance between adjacent sliding windows within a dataset. One algorithm generates an initial ordered list of subsequences, while another updates this list by dropping the first entry and appending the last entry, thus avoiding the need to recalculate entirely new lists with each iteration. Large values in the distance metric indicate potential boundary locations. To enhance accuracy, a smoothed z-score or wavelet-based algorithm can be employed to locate peaks in the distance metric, effectively identifying boundary locations. An adaptive version of the method incorporates a collection of window sizes and corresponding weighting functions, making it suitable for real datasets with complex and changing structures.

Career Highlights

Christina Ting is currently employed at National Technology & Engineering Solutions of Sandia, LLC. Her role involves applying her expertise in boundary detection to various projects, contributing to advancements in technology and engineering solutions.

Collaborations

Throughout her career, Christina has collaborated with esteemed colleagues, including Richard V Field, Jr. and Tu-Thach Quach. These collaborations have further enriched her work and expanded the impact of her innovations.

Conclusion

Christina Ting is a pioneering inventor whose work in boundary detection technologies has the potential to transform data analysis across multiple fields. Her innovative approaches and dedication to her craft continue to inspire advancements in technology.